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Digital health software development is the process of creating applications and platforms that support the management, analysis, and connection of medical data in a digital environment. This technology helps doctors, hospitals, and patients exchange information faster and more accurately while improving the quality of healthcare services. The following article will explore the role and development trends of digital health software in the modern healthcare era.1. What is digital health software development?Digital health software development is the process of designing and building software systems that use digital technology to support healthcare operations. This process includes stages such as requirement analysis, programming, testing, deployment and maintenance. The goal is to create tools that digitise medical data and healthcare workflows.Typical solutions in this category include electronic health record software (EHR), telemedicine platforms, mobile health tracking applications (mHealth) and hospital management systems (HMS). All of these solutions are developed based on medical standards such as HL7 or FHIR and must ensure the integrity, accuracy, and security of medical information in a digital environment.Digital health software development is the process of creating digital solutions for the healthcare sector2. Key aspects and technologies in digital health software developmentSeveral core technologies are driving the growth of digital health software. Each technology plays a specific role in modernising healthcare processes and medical data management.AI and Machine Learning: Used to analyse large medical datasets to detect abnormalities, predict disease risks and suggest treatment options. AI also supports natural language processing and personalises care plans based on patient data.IoT: Connects wearable devices and medical sensors to collect continuous health data, allowing doctors to monitor patients remotely in real time. This is especially useful for home care and chronic disease management.Cloud: Provides flexible infrastructure for storing and processing medical data, enabling secure access at any time, synchronising information across facilities, and supporting fast deployment of online healthcare platforms.Big Data: Collects and analyses massive volumes of medical data from many sources to support accurate diagnosis, improve treatment workflows, and provide predictive insights for research or healthcare management.Blockchain: Ensures security and transparency in medical data management through distributed storage. It helps verify health records, control access rights, and share information between trusted healthcare organisations.The core components and technologies in digital health software development3. Digital health software development processThe development process of digital health software includes multiple coordinated steps to build a solution that meets real healthcare needs and industry standards.1- Requirement research and assessmentFirst, TMA collects information about the current healthcare system, identifies stakeholders, and defines actual needs. Then, TMA studies clinical workflows, operational activities, and existing bottlenecks before moving to the next phase. This ensures that the software solution truly matches the requirements.2- In-depth analysis and solution consultingAfter gathering the requirements, TMA performs a detailed analysis to evaluate technical and business needs, identify the integration environment, required data and level of healthcare compliance. TMA Solutions focuses on providing the right solution for the healthcare sector instead of building software only based on initial requests without considering the full system landscape.3- System architecture and user experience designAt this stage, TMA Solutions designs the full software architecture, including backend, frontend, database, and integration ability with medical devices or existing EHR and EMR systems.The architecture team follows international standards such as HL7, FHIR, and DICOM to ensure compatibility, data access and secure sharing. At the same time, the UX and UI team designs dedicated interfaces for patients, doctors, and healthcare staff, making sure they are clear, easy to use and aligned with real workflows inside medical facilities.4- Software development and prototype testing (MVP or Prototype)After the architecture is ready, TMA Solutions builds a prototype or MVP using selected technologies such as Java Spring Boot, ReactJS, .NET, Azure or AWS.The goal is to help customers validate the idea early by simulating core functions and integrating real medical data and devices. TMA engineers work closely with the customer’s business team to collect feedback and adjust features before full-scale development, which helps reduce costs and shorten delivery time.5- Full testing and live deploymentTMA Solutions has a dedicated testing team for HealthTech projects. They run functional, security, performance, stability and medical device compatibility tests.Testing is carried out in both simulated and real environments and meets HIPAA, GDPR, and ISO/IEC 27001 standards to protect sensitive medical data.After the software meets all requirements, TMA supports deployment at hospitals, clinics, or connected healthcare systems and provides on-site technical supervision during the early operation phase.6- Training, handover and operation supportTMA Solutions organises training sessions for each user group, including doctors, nurses, administrative staff and IT teams.User manuals, recorded tutorials, and practice sessions are provided to help users understand the workflow and use the system in the correct way.TMA hands over the full operation rights and offers 24/7 online technical support so the customer team can run the system confidently after go-live.7- Maintenance, updates, and continuous improvementAfter the system is officially in use, TMA Solutions monitors performance and user behaviour through analytics and AI tools to detect issues or enhancement needs early.Regular updates are released to comply with new industry standards, security regulations, or business changes.The process of building and implementing digital health software4. Critical considerations in healthcare software developmentIn healthcare, software can only deliver real value when it is built on a secure, compliant, and highly integrated foundation. These core factors must be considered in every stage of the development process.Data security and complianceHealthcare software must process and store a large amount of sensitive information, such as medical records, lab results and insurance data. The main challenge is to protect this data while still meeting regulations such as HIPAA or GDPR. Any mistake in the security workflow can lead to information leaks and cause serious damage to healthcare organisations.To reduce risks, businesses must identify the exact types of data that need protection, apply end-to-end encryption, define clear access permissions, and monitor all login activities in real time. Security testing must also be performed on a regular basis, and an incident response plan should be prepared in advance instead of waiting for a data breach to happen.User experience (UX and UI)User experience in healthcare software is complex because doctors, nurses, and patients all have different needs. A complicated interface, too many steps, or poor layout can reduce usability and increase the chance of human error during operation.To solve this, you need to define user roles clearly, build layouts that match real medical workflows, and test the interface with each user group. The system must allow fast access to important functions, reduce manual data entry, and support both desktop and mobile devices to fit different work environments in hospitals and clinics.EHR integrationEach healthcare organisation often uses different platforms and data formats, which creates problems in synchronising information and keeping patient records accurate across systems.To address this, your business should standardise data exchange using formats such as HL7 or FHIR and verify API compatibility before deployment. You should also run integration tests in a simulated environment to ensure that all transferred data is encrypted and logged for tracking when needed. The goal is to create a smooth data flow between systems without interrupting clinical operations.Key factors to consider in digital health software development5. Benefits of digital health software developmentThe use of digital health software not only changes the way healthcare systems are managed and operated. It also brings practical benefits for both organisations and patients.Improve operational productivity and patient experienceDigital health software helps automate patient intake, monitoring, and care processes. This allows patients to receive support faster and helps medical staff work with better performance. TMA provides a virtual assistant solution for healthcare platforms that supports appointment booking, real-time consultation and feedback. This solution shortens response time, increases interaction and improves the overall patient experience.Save time, reduce errors and lower operating costsWhen data entry, storage, and information sharing are digitised, manual errors and administrative costs are reduced. TMA applies optical character recognition technology to collect and process medical data from forms automatically, which removes most paper-based tasks. As a result, the workflow becomes faster, more accurate, and more cost-saving for both healthcare workers and medical facilities.Enhance diagnosis quality and decision-makingThe use of artificial intelligence and big data analytics allows doctors to detect diseases earlier and make clinical decisions with higher accuracy. TMA builds a medical data analytics system that can process millions of medical records and terabytes of data within seconds. This helps healthcare organisations access critical information quickly, reduce waiting time, and improve reliability during treatment.Improve collaboration and internal communicationModern healthcare platforms connect doctors, nurses, management staff, and technicians in a single system, creating smooth and accurate information flow. TMA applies a DevOps model combined with cloud computing for healthcare systems, allowing faster software deployment and updates while keeping the system stable even when multiple departments work on the same platform.Strengthen data security and regulatory complianceMedical data requires a high level of security and must comply with international standards such as HIPAA and GDPR. TMA integrates multi-layer security, full data encryption, and strict access control in every healthcare project. The use of AI for anomaly detection and access management reduces the risk of data breaches and increases compliance.Expand remote care and personalised servicesWith IoT platforms and mobile devices, patients can be monitored continuously without visiting the hospital. TMA develops a remote health monitoring system that collects biometric data and sends alerts to doctors when abnormal signs appear. This approach makes chronic care management easier and extends healthcare access to remote areas far from medical centers.Optimise resources and increase scalabilityA flexible software platform built on cloud architecture can scale quickly when data volume or user numbers grow. TMA develops big data storage and analytics systems for healthcare organisations, allowing them to expand operations without investing in extra physical infrastructure. This not only reduces long-term costs but also builds a strong foundation for future healthcare service expansion.Values of digital health software development6. Why choose TMA solutions for digital health software development?With strong experience, advanced technology capabilities and a deep understanding of the healthcare sector, TMA Solutions has become a reliable choice for organisations that want to develop and deploy complete digital health software solutions.Deep expertise in digital healthcare: TMA Solutions has more than 15 years of experience in the industry and a team of over 700 engineers who specialise in digital health software development for both Vietnam and international markets.End-to-end services from concept to deployment: The company provides a full service cycle that includes consulting, system design, software development, testing, deployment, and maintenance for healthcare organisations of all sizes.Wide range of healthcare solutions: TMA Solutions builds remote health monitoring systems, AI-based diagnostic tools, medical data management platforms, IoT device integrations and pharmacy automation solutions to support digital transformation across the healthcare sector.Adoption of advanced technologies: The company combines AI, IoT, Big Data and cloud computing in its projects, helping healthcare organisations improve operational capacity, increase scalability and protect data according to international standards.Trusted partner of global healthcare organisations: With long-term experience and a strong reputation in healthtech, TMA Solutions is recognised as one of the leading technology companies in Vietnam and a strategic partner of hospitals, research institutes and international healthcare providers.Reasons to choose TMA Solutions for digital health software development7. Case study TMA Solutions implementedThe following case studies show how TMA Solutions applies technology in real projects to help healthcare organisations improve workflows, enhance service quality and create sustainable value in patient care.Case study 1: Enhancing healthcare with a virtual assistantA remote healthcare and monitoring company in Vietnam wanted to improve service quality and user response speed on its mobile platform. As the number of users grew quickly, the traditional support system became overloaded, with high operating costs and slow response times, especially for elderly patients.Solution:TMA Solutions integrated a Health Virtual Assistant into the client’s mobile application, creating an AI-powered support system capable of multitasking and intelligent interaction. The solution included:Automated responses: The virtual assistant used a database of FAQs, medical guides, and instructional materials to provide quick and accurate answers without staff intervention.Health data analysis: The chatbot could interpret health indicators, generate reports, and offer suggestions to help users understand their health trends.Request management: It supported appointment booking, exercise planning, medication reminders, and daily health tracking for users.Results:Higher user satisfaction: Faster response times significantly reduced negative feedback and improved the overall user experience.Lower operating costs: Automated customer support reduced service costs by 25% while expanding support capacity.More proactive healthcare: Users could manage their own health through automatic reminders for medication, exercise, and regular checkups, helping them maintain consistent care routines.Case study Enhancing healthcare with a virtual assistantCase study 2: Applying OCR in healthcare solutions to automate data collectionHealthcare facilities face major challenges in collecting, processing and managing patient data. Manual data entry takes a lot of time, increases the risk of errors and interrupts the care process. Medical records are stored in different formats, which makes data retrieval and consolidation difficult and slows down clinical decision-making.SolutionTMA Solutions developed an OCR-based healthcare solution to automate data collection and digitisation:Extract data from multiple sources: The system supports data collection from more than 30 common medical devices, such as MediUSA, Microlife, Omron, A and D Medical, Wellue, Sinocare, Checkme, and Accu Check, as well as from prescriptions and lab results. The solution ensures that key data such as blood pressure, glucose level, body temperature, and other health indicators are digitised accurately.Dynamic template creation: Since medical data comes in many formats, TMA provides a feature that allows users to define their own data templates and label the fields they want to extract. The OCR system then automatically identifies and extracts the same data fields for future documents.Flexible use cases: The solution can be applied in remote health monitoring systems, clinics, pharmacies and nursing homes.ResultsImproved operational productivity: Automated data entry and prescription management reduce administrative work and speed up healthcare processes.Better data accessibility: Once records and lab results are digitised, doctors and medical staff can access patient data anytime, which supports faster and more accurate decisions.Real-world adoption: The OCR solution has been successfully deployed at many healthcare service providers in Vietnam, helping them optimise data extraction workflows and improve overall operation quality.Case study Apply OCR in healthcare solutions to automate data collection8. FAQs about digital health software development1- What is the healthcare software development process?The development process of healthcare software includes key steps such as requirement definition and end-user analysis, solution design, source code development, full testing, live deployment and continuous maintenance.2 - What are examples of digital health technologies?Common digital health technologies include mobile or mHealth applications, electronic health records (EHR), wearable devices, telemedicine or remote care platforms, clinical decision support systems, and IoT-connected medical devices.3 - What type of software is used in healthcare?Healthcare software may include hospital information systems (HIS), electronic medical record or electronic health record systems (EMR or EHR), patient care applications, scheduling and telehealth platforms, medical data analytics software, and clinical workflow management systems.Digital health software development is becoming a key foundation for the shift toward smarter healthcare models. TMA Solutions provides secure, flexible, and scalable medical software solutions that help healthcare organisations manage data reliably, support accurate diagnosis, and improve treatment quality.>> Contact TMA to build a complete digital healthcare system for your organisation.Contact information:TMA SOLUTIONS - The leading digital health software development in VietnamEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

AI is changing how healthcare works, from diagnosis and treatment to patient management. With more than 15 years of experience in Healthtech, TMA has built many AI-powered software to solve real challenges. In this article, we highlight the Top 10 innovative AI healthcare solutions from TMA that are making a measurable impact.1. AI software for Diagnosis & Patient CareIn Diagnosis & Patient Care, AI helps doctors make better decisions and improve patient services.1.1. AI software for Sleep Quality Data Analytics & Sleep Apnea DetectionChallenge: Users find it hard to track sleep quality. Disorders such as sleep apnea or insomnia are often missed, and without reliable data, it is hard to design personalized improvement plans or measure treatment outcomes.Technologies: The system collects sleep data from wearable devices (heart rate, SPO2, REM, Light/Deep Sleep) and user reports. Machine learning analyses sleep patterns, while AI prediction uses heart rate and SPO2 trends to detect sleep disorders.Benefits:Patients can detect sleep problems early, get personalised improvement plans, and track treatment results.Hospitals improve diagnostic accuracy and reduce reliance on costly, time-consuming sleep studies.The healthcare system improves community health care, with better monitoring and management of sleep-related diseases.AI Sleep Analytics & Apnea Detection helps track sleep, detect disorders early and support personalized treatment1.2. AI software for Atrial Fibrillation Detection using ECGChallenge: Atrial Fibrillation (AFib) is a common heart rhythm disorder that can lead to stroke and other serious heart problems. Late detection means patients limit treatment chances and creates a heavier burden on healthcare systems.Technologies: The solution uses ECG wearable devices to record heart rate data. AI analyses the signals in real-time to detect AFib and sends automatic alerts when abnormal rhythms appear. It also connects with telehealth, so doctors can give timely advice.Benefits:Patients get continuous heart monitoring and early stroke risk detection and can easily share ECG results with doctors.Hospitals gain more data for diagnosis and improve remote patient management, reducing emergency cases caused by AFib.The healthcare system strengthens prevention of heart complications, improves quality of care, and supports better community health management.AI Atrial Fibrillation Detection helps detect AFib early through ECG, lower stroke risk and support remote diagnosis1.3. AI software for Fall Detection & Stroke AssessmentChallenge: Older adults and patients at risk of stroke may experience sudden falls or mobility loss without timely detection. This raises the risk of serious injury, heart complications and delays in emergency treatment.Technologies: The solution combines wearable devices, AI cameras, radar sensors, and AI behavior recognition to detect falls in real-time. It also integrates fall risk assessment tools, sends instant alerts to caregivers or medical staff, and connects with telehealth platforms for quick stroke risk evaluation.Benefits:Patients receive early detection of falls or abnormal signs, lowering the risk of injuries and complications.Hospitals can monitor patients remotely, respond faster and reduce workload for staff.The healthcare system increases safety for older adults, improves prevention, and strengthens emergency care for stroke-related cases.AI Fall Detection & Stroke Assessment helps detect falls and stroke risks in time, protect patient safety and support fast emergency response1.4. AI software for Data Extraction & OCRChallenge: In healthcare, manual data entry is often slow, error-prone, and scattered across multiple formats – causing delays in decision-making and risks to patient safety.Technologies: The solution combines Optical Character Recognition (OCR) with Large Language Models (LLM) and Natural Language Processing (NLP) to extract medical text and codes. Rule-based validation is also added to ensure data accuracy.Benefits:Patients get more accurate treatment, fewer prescription errors, and timely medication reminders.Hospitals save time for medical staff by reducing manual entry, cutting down administrative errors and improving EHR workflows.The healthcare system processes insurance claims faster, improves medical data quality, and enables better data sharing across hospitals.AI software for Data Extraction & OCR helps healthcare automatically extract and standardize data, reduce manual errors, and improve the quality of patient care1.5. AI software for Customer Service Chatbot & AI Health ChatboxChallenge: As the number of users grows fast, customers face slow response times, high operating costs, and limited support from traditional channels such as FAQ or hotline. These challenges are even greater for older patients.Technologies: The solution uses an AI-powered Virtual Assistant that can answer questions, give information and guide users. It works 24/7, supports both messaging and voice chat, and connects directly with the company’s information hub. The chatbot can be deployed flexibly on websites and mobile apps.Benefits:Patients receive reminders for medicination, exercise, and health checkups, making it easier to manage health and improve treatment outcomes.Hospitals reduce repetitive tasks, lower operating costs (around 25% reduction), and expand services without adding significant staff.The healthcare system improves user satisfaction, serves more patients simultaneously, and raises the quality of public health management and care.AI Virtual Assistant helps healthcare provide 24/7 support, reduce operating costs and improve patient experience1.6. AI software for Smart Q&A Call Center AssistantChallenge: Customer care centers in healthcare often face overload. High call volumes create long waiting times, while repeated questions consume resources and cause inconsistent service quality across staff.Technologies: The solution applies real-time audio streaming to capture conversations. Speech-to-text and AI analytics generate instant response suggestions, while connecting with the company’s information hub and supports queries through the OpenAI API.Benefits:Patients get faster service, shorter waiting times, and timely answers.Hospitals or healthcare companies improve staff performance, cut call handling time by about 30% and lower operating costs.The healthcare system increases user satisfaction, raises overall service quality, and scales support capacity as the number of users grows.AI Smart Q&A Call Center Assistant helps healthcare call centers respond faster, cut costs and improve customer experience2. AI software for Healthcare System & OperationsNext, let’s explore AI software for healthcare, where AI is applied to support remote care, monitor health and optimise medical services.2.1. AI software for AI-driven Telehealth SolutionChallenge: Patients increasingly need medical advice and continuous health monitoring from a distance. However they face barriers such as long distance, limited access to specialists, and difficulties in managing chronic diseases. Post-surgery care and mental health support are also not tracked in real time.Technologies: The solution connects medical devices and wearables to collect data (ECG, SPO2, blood pressure, blood sugar, respiration). Data is transferred securely through the mCare Platform. AI analyses the collected data to create reports, enable real-time monitoring and give decision support for doctors.Benefits:For patients: Access to remote consultations, improved chronic disease management, timely post-surgery follow-up, and continuous mental health support.For hospitals: Expansion of telehealth services, reduced infrastructure burden, and enhanced patient engagement.For healthcare systems: Promotion of digital health, improved community health management, and more efficient use of medical resources.AI-driven Telehealth Solution delivers remote care, continuous support and better community health management2.2. AI software for Telehealth Kiosk with AI IntegrationChallenge: People in remote areas or places with limited medical facilities face difficulties accessing regular health checkups.Technologies: The solution provides a kiosk with medical devices (SPO2, blood pressure, blood sugar, ECG, respiration, ear exam, heart and lung stethoscope). It also supports secure video calls with doctors, while AI analyses the data to create health insights and stores it in the cloud for safe sharing with medical staff.Benefits:For patients: Convenient access to health checkups, early detection of chronic diseases, and direct consultations with doctors.For hospitals: Expanded service coverage, reduced facility overload, and easy access to patient data from multiple locations.For healthcare systems: Stronger community healthcare, improved remote health management, and better equity in access to medical services.AI Telehealth Kiosk helps people in remote areas get health checkups, detect diseases early, and connect with doctors online2.3. AI software for Home Usage Medicine Dispenser & ReminderChallenge: Patients, especially those with chronic diseases, often forget to take medicine or use incorrect doses. This lowers treatment adherence and raises the risk of complications.Technologies: The system includes a smart pill dispenser with a preset schedule, connected to a mobile app that sends reminders and tracks in real-time. AI analyses adherence data, records medication habits, and shares updates with family or doctors for timely intervention.Benefits:For patients: Take medicine on time and in the right dose, reducing errors and improving treatment outcomes.For hospitals: Enable remote monitoring of patients and more accurate treatment management.For healthcare systems: Strengthen chronic disease control, reduce hospital readmissions, and lower long-term care costs.AI Medicine Dispenser & Reminder ensures treatment adherence, reduces medication errors and supports remote management2.4. AI software for Activity & Health Data Tracking for Senior ResidentChallenge: Older adults living in nursing homes or at home often lack continuous monitoring of their health and daily activities. This can lead to missed disease signs, delayed intervention and lower quality of life.Technologies: The system combines smart wearables and a mobile app to track vital signs (heart rate, blood pressure, SPO2, temperature), activity level, medication adherence and daily routines. Data is shared safely with family and doctors through a healthcare management portal, which supports trend analysis and timely alerts.Benefits:For patients: Receive proactive care and improved safety in daily life.For hospitals: Enable remote monitoring of elderly patients, detect early warning signs, and support timely medical response.For healthcare systems: Strengthen elderly community care, reduce hospital admissions, and raise the quality of long-term care services.AI Health Data Tracking helps monitor elderly health remotely, detect risks early and improve care quality3. Why choose TMA for AI software in Healthcare?With more than 15 years of Healthtech experience, TMA has delivered solutions for EHR, telehealth, medical device integration, chronic disease management, and elderly care. Through this, TMA understands strict healthcare requirements such as patient data security (HIPAA, GDPR, ISO/IEC 27001) and international medical standards (HL7, FHIR).With over 4.000 technology engineers, including more than 700 Healthtech specialists, TMA can manage medium and large multi-country healthcare projects. Its R&D Centers focus on AI, IoT and Health Data, allowing customised solutions that are scalable and future-ready.TMA applies AI and Machine Learning to analyse medical data, IoT to connect medical devices (ECG, SPO2, blood pressure, glucose…), and data analytics to detect abnormalities and send early warnings. These solutions support medical decisions in prevention, diagnosis, treatment management and post-surgery care.The company builds quality systems following CMMI Level 5, Agile, ISO 9001 and ISO/IEC 27001. This ensures a stable, safe, and transparent software development process. It helps reduce risks, keep projects on schedule, and optimize costs for clients in this highly regulated industry.TMA has successfully served clients in Australia, New Zealand, the USA, Vietnam, Ireland, and Sweden, covering telehealth, AI health analytics, remote health monitoring and medication management. This global experience gives TMA deep knowledge of local laws, languages and cultures, enabling tailored Healthtech solutions for each market.The Top 10 innovative AI software for healthcare from TMA highlights the important role of AI in improving healthcare quality. These solutions give patients and doctors access to modern medical technology and help hospitals and healthcare systems optimise operations.For more details or to request a tailored AI healthcare solution, please contact TMA through the information below.Contact information:TMA SOLUTIONS - The leading software outsourcing company in VietnamEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

Healthcare software outsourcing helps medical organizations speed up digital transformation, access external technology expertise and protect patient data. Instead of building the entire system in-house, businesses can work with a trusted partner to use resources better and improve service quality. The content below explains how TMA Solutions supports the healthcare sector through a full outsourcing model.1. What is healthcare software outsourcing and how it works?Healthcare software outsourcing is the process in which a healthcare organization hires an external technology provider to develop and operate software that supports medical services. In this model, the third party takes full responsibility for technical tasks from planning to maintenance, while the healthcare organization supervises the project.In practice, the outsourcing process often includes:Business and healthcare requirement analysis to define the software functions, data processing needs and compliance standards.System architecture and interface design to ensure medical data flows are managed in a unified way and meet security regulations such as HIPAA or GDPR.Software development and integration, including solutions like electronic health records, patient management systems, telemedicine applications or medical data analytics platforms.Testing and quality validation to make sure the system runs smoothly, processes medical data accurately and works well with existing systems.Deployment, operation, and maintenance to keep the software running without interruption and updated regularly based on new technologies and regulations.Healthcare software outsourcing refers to hiring a technology partner to develop and operate healthcare software2. Why should healthcare organizations outsource software development?Many healthcare organizations choose outsourcing to leverage external expertise, reduce development costs, shorten deployment time and ensure compliance with healthcare regulations.Cost efficiencyIn-house healthcare software development demands high investment in people, infrastructure, and maintenance. The organization also has to maintain a high-level engineering team even when development needs change over time.With outsourcing, costs shift from fixed investment to flexible project-based spending. Organizations can save from 30 to 50% of total software development budgets and use that capital for medical operations or equipment upgrades.Access to expertiseHealthcare software requires deep knowledge of data security, medical data standards such as HL7 or FHIR and strict compliance rules. Many organizations lack the resources or time to build an experienced in-house team for these areas.On the other hand, outsourcing partners have experts who have delivered similar projects and understand the development workflow in the medical environment. As a result, the software is built to the right standards while limiting technical errors and adapting quickly to real operational needs.Faster time to marketBuilding an internal team, recruiting, training, and setting up development processes can take months before a project is able to start. Meanwhile, healthcare software often needs to be deployed urgently, especially when releasing a new product or adopting new technology.An outsourcing partner already has processes, tools, and talent in place, allowing the project to start immediately. Time to market can be reduced by 30 to 40%, enabling organizations to adopt solutions such as telehealth, AI or patient data analytics faster.Risk mitigation and complianceHealthcare software deals with personal and patient information, so any mistake can lead to regulatory violations or loss of trust. Internal risk control is often difficult due to limited security expertise and knowledge of global healthcare laws.Reputable outsourcing partners follow security standards such as HIPAA, GDPR, or ISO 27001 and apply strict testing and access control procedures. This helps organizations reduce legal risks, protect user data, and maintain safe and stable system operations.Healthcare organizations should outsource to optimise costs and take advantage of external technology expertise3. Key aspects of healthcare software outsourcingHealthcare software outsourcing must be evaluated from multiple angles to ensure the development process is safe, stable and aligned with industry standards.Data security and complianceIn healthcare, patient data and clinical information are highly sensitive, so when outsourcing software, the organization must ensure the vendor has strong encryption, access control and compliance with global security regulations such as GDPR. Vendors specialising in healthcare usually have the required infrastructure and certifications to handle medical data properly, which helps reduce compliance risks and build trust.Vendor selectionChoosing the right partner is the foundation of a successful project. The organization should review the vendor’s experience in healthcare, ability to meet industry standards and technical capacity. Selecting the right vendor ensures that the software is developed based on real medical workflows, follows security requirements, and meets healthcare industry expectations instead of being treated like a generic software project.Scalability and flexibilityA healthcare software solution must scale as patient volume, data size or service channels grow. Outsourcing allows the organization to adjust resources and expand or reduce the development team based on project needs. It also makes it easier to adapt to regulatory changes, new technologies, or shifts in healthcare service models.Process managementManaging the full process from business analysis to software operation is essential when outsourcing. The organization must define clear communication rules, progress reports, testing stages and delivery checkpoints with the vendor. A well-structured workflow helps ensure each phase, such as design, testing, and deployment, follows medical standards and does not fall behind schedule or drift away from project goals.Key factors to consider when outsourcing healthcare software development4. How to choose the right healthcare software outsourcing partnerSelecting the right outsourcing partner in the healthcare field has a direct impact on software quality, security and long-term operation. That is why organizations must evaluate multiple criteria before starting a partnership.Evaluate healthcare industry expertiseA vendor with healthcare experience understands medical workflows, patient data management rules, and standards such as HL7, FHIR and HIPAA. They also know how the system must interact with hospitals, clinics and medical IoT devices. This ensures the software matches real medical operations, reduces gaps between requirements and implementation, and follows healthcare regulations from the start.Before working together, the organization should review the vendor’s past healthcare projects and check whether they have experience with hospitals, pharma companies or health insurance providers.Assess technical competence and innovationA strong technical partner masters core technologies such as cloud computing, AI, and big data and can guarantee scalability, security and system stability. They can also propose modern architecture instead of only coding based on instructions.When evaluating a vendor, check their case studies, compliance certifications, R&D capability and engineering team profile. You may request a demo or proof of concept to confirm their ability to apply technologies such as AI, IoT or large-scale medical data analytics before signing the contract.Verify compliance and security practicesMedical data is highly sensitive, so the vendor must prove compliance through ISO 27001, HIPAA, or SOC 2, along with data encryption, access control, and regular audits. This helps reduce legal risks, prevent data breaches and maintain patient trust.During evaluation, request valid certificates, audit reports, encryption policies, a BAA or DPA and a clear SLA for incident handling. In addition, review their backup process, recovery plan, access permissions, and security setup in a demo environment before giving final approval.Check communication and project managementWeak project management or poor communication can lead to wrong interpretations of requirements and delays. To evaluate this, review how they run Agile, their reporting frequency, and tools such as Jira or Trello. A partner using Agile or Scrum with frequent reporting enables transparent progress tracking. You should also request a clear contact point, a defined response time, and a structured change request process to keep the project under control.Review past healthcare case studies and referencesReal project records show how the vendor handles issues such as hospital system integration, performance optimization or security implementation. This is more reliable than marketing claims.Ask for detailed case studies, review feedback from past clients, and confirm that they have worked with hospitals, pharma companies or insurance providers. This helps verify real capability before cooperation.Consider flexibility and scalabilityHealthcare projects often grow rapidly when new facilities open, user numbers increase, or new systems need integration. A flexible vendor can adjust resources, technology and timelines accordingly.Evaluate their ability to scale infrastructure, add engineers when needed and manage scope changes. Also discuss how they adjust plans and allocate resources during workload spikes to ensure progress remains stable.Understand pricing models and contractsEach pricing model, such as fixed price, time and materials, or dedicated team, affects cost control and project risk. A clear contract helps avoid unclear terms or hidden costs.When reviewing the contract, check the cost structure, payment terms, service scope, and change request handling. Instead, clarify responsibilities, extra fees, and how requirement updates are handled before signing.Evaluate cultural fit and long-term partnership potentialWork culture and communication style strongly influence long-term cooperation, especially for multi-year healthcare projects.To make the right decision, evaluate how the vendor communicates, handles issues and supports the product after delivery. Also agree on update frequency, communication channels, and collaboration methods during the maintenance phase.How to choose the right partner for healthcare software outsourcing5. Why choose TMA Solutions for healthcare software outsourcing?TMA Solutions is a trusted technology partner in the HealthTech sector, providing end-to-end healthcare software development services that meet both security standards and industry requirements.Strong expertise in medical software development: TMA Solutions has more than 15 years of experience in healthcare software, with engineers who understand clinical workflows and compliance rules. The company has delivered projects such as telemedicine platforms, hospital management systems, patient monitoring solutions and AI-powered diagnostics.Full service development and maintenance: TMA offers a complete service chain including requirement analysis, design, coding, testing, deployment and maintenance. Its solutions cover electronic health records (EHR and EMR), telehealth platforms, clinic management systems and IoT device integration.International quality and security standards: TMA follows global standards such as ISO 9001, ISO 27001, and CMMI Level 5 to ensure software quality and data protection. All development and testing processes are designed specifically for medical systems and patient data security.Strong technical capability and scalable team: With more than 4,000 engineers and multiple technology centers in Vietnam, TMA can scale resources and technologies based on project needs. The team has solid experience in AI, IoT, cloud computing, big data, and mobile app development.Reliable long-term partnership: TMA maintains long-term relationships with global clients thanks to consistent delivery and continuous support after deployment. The company works closely with customers throughout system expansion and upgrades in the healthcare sector.Reasons to choose TMA Solutions for healthcare software outsourcing6. Case study TMA Solutions implementedContext: The client is a leading healthcare organization in the United States that provides medical services and insurance. Every day, the organization processes millions of medical records containing critical information related to patient care and health management.SolutionIn the project “Leverage Big Data for Healthcare Analytics”, TMA Solutions built a healthcare data analytics platform on Microsoft Azure. The platform supports full ETL workflows and real-time streaming for data taken from electronic health records and other medical sources.The solution includes 3 main components:Data ingestion: Collects data from internal systems and external partners and transfers it securely into the platform.Data analytics: Stores data in a loading zone, then encrypts and processes it in a protected stage to keep information safe during transmission and storage.Data output: Decrypts and delivers processed data to partners or internal users through an optimised search tool that can handle 5 TB of sample data in 3 seconds.In addition, the system is reinforced with advanced encryption and strict access control, ensuring full protection for all sensitive medical data.ResultsThe new platform can store and process more than 15 million medical records covering over 30 years of data.It significantly improves data retrieval speed, supports faster queries, and enables accurate decision-making for clinics and insurance services.TMA’s solution helps the organization strengthen data management, improve decision-making, and protect medical information while reducing the risk of data breaches and regulatory violations.The project Leverage Big Data for Healthcare Analytics by TMA Solutions7. FAQs about healthcare software outsourcing1- What types of healthcare software can be outsourced?Healthcare organizations can outsource the development of many types of software, including electronic health records (EHR and EMR), telehealth platforms, hospital management systems, patient monitoring applications, medical data analytics solutions and IoT device integration systems.2- How does TMA Solutions support healthcare organizations in software outsourcing?TMA Solutions provides an end-to-end service that covers consulting, development, testing and maintenance of healthcare software. The company helps clients build systems that follow HIPAA standards, ensure data security, scale flexibly, and run smoothly in long-term operation.3- What makes TMA Solutions a trusted healthcare IT outsourcing partner?TMA is trusted thanks to more than 15 years of experience in HealthTech, a team of over 4,000 engineers, and development processes certified by ISO 9001, ISO 27001 and CMMI Level 5. The company has long-term partnerships with global healthcare organizations and delivers secure, stable and scalable solutions.4- What technologies does TMA use in healthcare software development?TMA applies advanced technologies such as AI, IoT, cloud computing, big data, blockchain and mobile app development. These technologies help build smart healthcare platforms, improve data processing and support more accurate patient care.5- What is the difference between healthcare IT outsourcing and healthcare software outsourcing?Healthcare IT outsourcing covers infrastructure management, security systems, and technical support across the entire healthcare organization. Healthcare software outsourcing focuses on building, deploying, and maintaining software applications that serve medical workflows.Healthcare software outsourcing not only helps medical organizations adopt new technologies faster but also provides a strong foundation for data management and better patient experience. With solid technical capability, international standard processes, and an experienced team, TMA Solutions is a reliable partner for companies looking to develop modern healthcare software.>>Contact TMA Solutions today for a detailed consultation.Contact information:TMA SOLUTIONS - The leading healthcare software outsourcing in VietnamEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

Today, ready-made software often fails to meet the specific needs of individual hospitals. That’s why custom hospital software has become one of the major trends in 2025 — hospitals are now looking for tech partners with strong expertise, flexibility, and compliance with international healthcare standards.This article introduces the Top 5 custom hospital software development companies in 2025, selected based on their technical capability, healthcare experience, real-world projects, and compliance with global standards.CompanyFoundedHeadquartersStaff sizeKey servicesTMA Solutions1997Vietnam4,000 engineersCustom hospital software, healthcare AI, EHR systems, pharmacy automation, and telehealth solutionsScienceSoft1989USA700+Custom medical software, hospital data analytics, and clinic management systems.KMS Technology2009Vietnam – USA1.600+Consulting, developing, and testing custom healthcare software.Orient Software2005Vietnam400+HealthTech, Data & AI solutions, and mobile healthcare applications.Athenahealth1997USA5.000+Patient record management, insurance billing, and remote healthcare solutions.1. TMA SolutionsWith more than 28 years of experience in information technology and a team of 4,000 software engineers, TMA Solutions has been one of Vietnam’s leading custom hospital software development companies for clients in the USA, Australia, Sweden, Ireland, and Vietnam.Unlike vendors that only provide ready-made software, TMA works closely with hospitals throughout the entire process. Its flexible cooperation models (Dedicated Team, Offshore Delivery Center) allow hospitals to scale quickly without large infrastructure investments.Experience & Expertise:With 15 years of experience in healthcare and medical software, TMA has served over 40 global clients, including hospitals, nursing homes, and pharmaceutical companies.The HealthTech Center, with over 700 specialized engineers, focuses on medical data, artificial intelligence, automation, and remote healthcare applications.All operations comply with CMMI Level 5, ISO 9001, and ISO 27001 standards, ensuring the highest levels of quality and data security in healthcare solutions.Key Software SolutionsElectronic Health Records (EHR): Manage complete patient histories, including medical visits, prescriptions, lab results, and imaging — following FHIR and HL7 standards.Pharmacy Automation: Integrates intelligent medication management systems with AI-powered dosage reminders and drug interaction monitoring.Telehealth & Remote Care: Enables video consultations and patient monitoring through connected sensors for heart rate, SPO2, and blood pressure tracking.Health Data Analytics: Collects and processes millions of medical records to predict disease trends and support clinical research.AI & Smart Recognition in Healthcare: Applies AI to analyze ECGs, detect arrhythmias, assess sleep quality, and enable early detection of stroke or sleep apnea.Technologies & CertificationsTMA applies advanced technologies such as AI/ML, Cloud Computing, IoT, OCR, Big Data, and RPA, while strictly complying with international standards:HIPAA (USA): Protects patient data security.GDPR (Europe): Ensures data privacy and user rights.HL7, FHIR, DICOM: Support seamless healthcare data interoperability.Awards & Global RecognitionRanked among Vietnam’s Top 10 ICT Companies by VINASA for multiple consecutive years.Long-term technology partner of global corporations such as NEC, FNZ, IOOF, TechnologyOne, and Webstercare.Honored as a “Trusted Partner in HealthTech” by clients across Australia and North America.Key Projects:Automate Pharmacy Operations with Cloud-based Solution: TMA built a cloud-based medication management system for 2,000+ pharmacies in Australia. The solution automates the entire workflow - from prescription processing to dispensing and monitoring - helping reduce staff workload and enhance patient safety through real-time alerts, and scales easily for future growthBoost Healthcare Operations productivity with DevOps & Cloud Solutions: By implementing AWS Cloud and CI/CD, TMA helped a healthcare company in the EU serve 400,000+ users daily with 24/7 system stability. The solution improves performance, balances system load, and enhances the mobile user experience.Optimizing Data with Azure: Dynamic Integration, Legacy Migration, and Advanced Visualization: TMA integrated scattered healthcare data using Azure Data Lake, migrated legacy systems, and created Power BI dashboards for better visibility. This modernization enables fast data access and valuable real-time insights for decision-making.Apply OCR in Healthcare Solutions to Automate Data Collection: Using OCR technology, TMA automated data extraction from over 30 types of medical devices, prescriptions, and test results. The solution minimizes manual errors, speeds up data processing, and allows doctors to access patient information instantly.>> Learn more at: TMA Solutions | Leading Software Outsourcing in VietnamTMA Solutions is recognized as a custom hospital software development company in Vietnam, delivering tailored solutions that meet each client’s specific healthcare needs.2. ScienceSoftFounded in 1989, ScienceSoft stands among the most experienced software development companies in the United States, specializing in solutions for hospitals, clinics, and health insurance providers.Team size: With a workforce of 700+ engineers, ScienceSoft focuses on custom EHR systems, medical imaging software, and online patient platforms.Certifications: The company holds ISO 13485, ISO 9001, and ISO 27001 certifications in healthcare and fully complies with HIPAA, GDPR, and MDR standards.Key services:Custom medical software and patient management systems.Digital transformation consulting for major hospitals in Europe and North America.ScienceSoft – A trusted provider of custom medical software and patient management systems.3. KMS TechnologyKMS Technology is a Vietnamese software company headquartered in Ho Chi Minh City, with additional offices in Atlanta (USA) and Mexico.Team size: The company has a global workforce of over 1,500 employees (as of 2023–2025).Certification: ISO 27001 – ensuring high standards of information security.Key services:Custom software development for enterprises worldwide.Software testing services to ensure product quality and reliability.Technology consulting and product development for digital transformation.KMS Technology is a reputable custom hospital software development company in Vietnam.4. Orient SoftwareFounded in 2005, Orient Software is a Vietnamese company specializing in custom software solutions and artificial intelligence applications.Team size: Over 350 IT experts with diverse technical backgrounds.Certifications: ISO 9001:2015 and ISO/IEC 27001:2013, ensuring quality management and data security.Key services:Web & Mobile App development.AI and Machine Learning solutions.Software testing and quality assurance (QA).Orient Software – A Vietnamese company specializing in custom software and AI development.5. AthenahealthAthenahealth is a cloud-based healthcare technology company providing electronic health record (EHR) and medical billing solutions.Team size: More than 6,500 employees worldwide, Athenahealth supports thousands of hospitals and clinics across the United States.Certifications: HITRUST CSF Certified and fully HIPAA compliant, ensuring data security and patient privacy.Key services:Electronic Health Record (EHR) management.Revenue cycle and billing management.Patient engagement and communication tools.Athenahealth – A leading provider of cloud-based EHR and healthcare billing solutions.6. How to choose the right custom hospital software development companyImplementing a custom healthcare software project requires a balanced combination of medical expertise, data management, legal compliance, and technical execution. Choosing the right development partner determines up to 70% of the project’s success. Below are the five key criteria hospital leaders should carefully evaluate before signing a partnership agreement.1 – Define the hospital’s needs and specific requirementsBefore choosing a technology partner, hospitals should clearly identify their goals and core technical requirements. A detailed Request for Proposal helps both sides align on project scope and avoid misunderstandings during implementation.Recommended steps:Identify current challenges: Fragmented data, lack of integration, manual processes, or high management costs.Set clear goals: Improve operational efficiency, reduce data entry time, increase diagnostic accuracy, or optimize overall expenses.Prioritize key modules: Electronic Health Records (EHR), pharmacy management, telehealth, or patient data analytics.Choose a suitable deployment model: On-premise or cloud-based.Example: A central hospital may prioritize an EHR and PACS-DICOM imaging system, while a private clinic might focus on an appointment and billing platform integrated with insurance payments.A clear RFP ensures both parties agree on scope, expectations, and deliverables before development begins.2 – Industry experience and real project portfolioNot every software company fully understands the complexity of medical data, laboratory workflows, or patient data security. That’s why it’s essential to evaluate a partner’s industry experience and project portfolio before making a decision.Evaluation criteria:Years of experience in healthcare: Prefer companies with at least 5 years in developing healthcare software and proven projects with hospitals or pharmaceutical firms.Project portfolio: Review whether they have successfully built EHR, Telehealth, Clinical Research Tools, or Health Data Analytics systems.Key clients: Partnerships with international customers from the USA, Australia, Japan, or Sweden show strong capability and compliance with global standards.Example: TMA Solutions, a custom hospital software development company, has successfully delivered Health Data Analytics and Telehealth systems for organizations in the USA, Ireland, and Vietnam, proving its expertise in big data processing and patient data standardization.You should always review the software company’s project portfolio before making your decision.3 – Knowledge of regulations and compliance standardsHealthcare software must not only deliver reliable performance but also fully comply with international data security and healthcare standards. This aspect is often overlooked in Vietnam-based projects but is mandatory when integrating with global healthcare systems.Key standards to note:StandardMain PurposeApplication in Healthcare SoftwareHIPAA (USA)Protects personal health informationRequired when handling or storing U.S. patient dataGDPR (Europe)Regulates data privacy and personal data protectionMandatory for hospitals working with EU patients or partnersHL7 / FHIRStandard for medical data exchangeEnsures interoperability between EHR, Telehealth, LIS, and RIS systemsISO 27001Information security management systemGuarantees safe storage, transmission, and backup of patient dataISO 13485Quality management system for medical devicesApplies to medical device and healthcare support softwareTip: When working with a vendor, always request proof of their certifications, such as ISO scan copies, audit reports, or verification from international partners.When working with a vendor, you should ask them to present their official certifications to verify compliance and reliability.4 – Technology, architecture, and system scalabilityA reliable healthcare software company should have modern technologies and a flexible system architecture that allows future integration and expansion.Key factors to consider:Core technologies: The company should demonstrate strong expertise in AI/ML, Big Data, IoT, RPA, Cloud Computing, and Blockchain.Integration capability: Their solutions must be compatible with existing hospital systems such as HIS, EMR/EHR, and third-party medical software.Flexible architecture: A microservices-based design and open APIs enable smooth integration and easy scaling as the hospital expands.Data analytics features: Support doctors and hospital managers make data-driven decisions in real time.Example: A modern EHR solution should be able to integrate with IoT devices for heart rate and blood pressure monitoring and display real-time data for remote supervision, a capability successfully implemented by custom hospital software development companies like TMA Solutions, ScienceSoft, and Athenahealth in their international healthcare projects.A modern EHR solution must be able to integrate with IoT devices for real-time health monitoring and data synchronization.5 – Post-deployment service and long-term supportMany healthcare software projects fail not because of poor development, but due to insufficient post-launch support. A reliable company must commit to ongoing maintenance, training, and regular upgrades to keep the system stable and compliant with new regulations.Key points to check:24/7 technical support: Ensure quick issue resolution for mission-critical hospital systems.Regular maintenance policy: Includes security patches, performance optimization, and feature updates.Staff training: Provide user and admin training for hospital personnel on data management and real-life scenarios.Service Level Agreement (SLA): Clearly defines response times, issue resolution deadlines, and vendor responsibilities.Example: Companies like TMA Solutions and KMS Technology offer a Dedicated Team model, where engineers work closely with clients throughout the entire project lifecycle — reducing downtime and ensuring continuous service operation.Choosing the right custom hospital software development partner directly impacts hospital management, operational efficiency, and patient experience. A true partner does more than just write code, they understand the healthcare domain, accompany hospitals in digital transformation, and ensure data security.If your hospital is seeking a partner with strong medical expertise, technology capability, international certifications, and proven project experience, companies like TMA Solutions, ScienceSoft, and Athenahealth are highly recommended choices for 2025.\It’s best to choose a partner that offers 24/7 technical support, such as TMA Solutions, to ensure quick issue resolution and continuous system stability.7. Future trends in custom hospital software developmentIn the past, most healthcare facilities chose off-the-shelf software to save costs. Today, however, the custom hospital software model is becoming the preferred choice thanks to its ability to support specialized workflows, enable data interoperability, and ensure higher security.According to Precedence Research (2024), the global hospital information system market is projected to reach USD 185.25 billion in 2025 and grow fourfold to USD 778.83 billion by 2034, with a CAGR of 17.3%. Meanwhile, the Hospital Management Solutions market reached USD 6.43 billion in 2024 and is expected to expand at a CAGR of 17.7% by 2033 (Straits Research, 2024).In developed countries, more than 70% of acute care hospitals in the U.S. have integrated AI-driven predictive modules into their Electronic Health Record (EHR) systems.In Vietnam, many central hospitals and private healthcare groups have also begun implementing hospital management systems, EHR platforms, and telehealth applications developed by domestic technology companies, marking a clear shift from “off-the-shelf” solutions to “custom-built” software tailored to real operational needs.Here are five key trends shaping the future of the custom hospital software industry:Artificial Intelligence & Machine Learning (AI/ML) – The nervous system of modern hospitals: AI/ML has evolved from a support tool into the core intelligence of healthcare software. It automates medical image analysis, predicts disease risks, and optimizes treatment workflows. These innovations reduce medical errors and help doctors make faster, more accurate decisions.Internet of Medical Things (IoMT) – Real-time data connection: Modern hospital software is now designed to collect data from devices like SPO2, blood pressure, and glucose monitors via Bluetooth, Wi-Fi, or LoRaWAN. The data is synchronized to EHR systems, allowing doctors to monitor chronic patients and take early action when abnormalities occur.Telehealth – Expanding access to care: Telehealth enables remote consultations and video-based appointments, easing hospital workloads and improving access to healthcare in remote areas. Custom software now ensures seamless integration among doctors, patients, and insurance systems.Blockchain – Enhancing security and transparency: Blockchain adds an extra layer of data protection and transparency in medical record storage, drug traceability, and automated billing. It also ensures compliance with HIPAA, GDPR, and other global healthcare data standards.Data Interoperability – Connecting systems across borders: Modern hospital software increasingly follows standards such as HL7, FHIR, and DICOM, enabling healthcare data to be shared across systems and countries. This is the foundation for smart hospitals, where all patient and operational data are unified for better decision-making.Artificial intelligence and machine learning remain the leading trend in today’s healthcare software landscape.8. 2 frequently asked questions about custom hospital software development company1 - How much do healthcare software development services cost?The cost of developing healthcare software varies widely. There’s no single fixed price. It depends on the complexity, number of features, and compliance requirements of each project.Software TypeLevel / ScaleEstimated Cost (USD)Electronic Health Record (EHR)Ready-made solution (Small clinic)~ $400,000Custom development (Medium scale)$500,000 – $700,000TelemedicineMVP (Minimum Viable Product)$60,000 – $120,000Full-featured system$200,000 – $450,000Clinic ManagementImplementation (Small clinic)$40,000 – $55,000Implementation (Large facility)$90,000 – $200,0002 - What to ask a medical software development firm before hiring?Here are the 5 key questions you should ask a medical software development provider before hiring them:What is your experience with healthcare regulations and compliance?: Ask about the company’s familiarity with specific standards relevant to you, such as HIPAA, GDPR, MDR, or FDA, and how they ensure the software will meet these requirements).How do you handle data protection and patient privacy?: Inquire about their security practices, such as data encryption, secure authentication. Also, check whether they have incident response and data recovery plans in case of system failures or breaches.Can you demonstrate an understanding of clinical workflows?: The software must fit seamlessly into the daily routines of doctors, nurses, and administrators. Ask for examples of how they've tailored UX/UI for healthcare settings.What is your approach to interoperability and integration?: Ask how the new software will connect and exchange data with your existing systems, such as EHRs, and their experience with standards like HL7 or FHIR.How do you manage the product lifecycle and post-launch support?: Find out about their long-term plan for maintenance, bug fixes, regulatory updates, performance monitoring, and what level of user support they provide after the project is live.Choosing the right custom hospital software development company helps hospitals optimize workflows, improve operational efficiency, and ensure medical data security. With over 29 years of experience and a team of 4,000 engineers, TMA Solutions is a trusted global partner in developing custom healthcare software.>> Explore TMA’s solutions at https://staging.tmasolutions.com or contact the team through official channels for a detailed consultation.Contact information:TMA SOLUTIONS - The leading custom hospital software development companyEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

Custom health app development is the process of building tailor-made digital solutions based on each organization’s workflow and data. These solutions create a modern healthcare experience, connecting providers, patients, and systems, while meeting strict medical standards.With strong technical expertise and deep healthcare experience, TMA Solutions is a trusted partner for developing and delivering these advanced applications.1. What is Digital Health Solutions?Digital health solutions use technology to improve healthcare services. They integrate information technology into every stage from prevention, diagnosis, and treatment to disease management. The goal is to support both patients and healthcare providers.These solutions offer tools for remote monitoring, better access to medical services, and data-driven decision-making.Common examples include:Telemedicine – online medical consultation and careMobile health apps – apps for tracking and managing personal healthWearable devices – tools to monitor daily health indicatorsElectronic Health Records (EHRs) – digital systems for storing and sharing medical informationDigital health solutions refer to the use of technology to improve healthcare services.2. Why Custom Apps are the Future of Patient CareCustom-built solutions allow businesses to bring their real-world workflows to digital platforms (Workflow ? Data ? Insight ? Action). They ensure flexible customization, regulatory compliance, and seamless integration with existing systems.2.1. For Healthcare Providers & OrganizationsCustom healthcare solutions help medical organizations optimize operations, improve decision-making, and enhance patient care quality.Optimize workflow & reduce paperwork: Digitize processes like registration, scheduling, and record-keeping to minimize manual tasks, improve system connectivity (EHR, PACS, payment), and save time and operational costs.Support diagnosis & clinical decisions: Combine sensor data (RPM) with CDS algorithms to detect abnormalities early, prioritize treatment, and allocate resources effectively.Extend care beyond hospitals: Telehealth and remote monitoring solutions enable patient tracking between visits, reduce hospitalization needs, and ensure continuous care.Data management & compliance: Built with a “secure by design” approach, integrating encryption, access control, and activity logs to reduce risks, protect data, and ensure system security.For healthcare organizations, custom solutions help optimize workflows and enhance clinical decision-making.2.2. For PatientsSmart healthcare applications make it easier for patients to access healthcare services in a more convenient, proactive and personalized way.Easy access to doctors: Telehealth solutions reduce waiting time and remove distance barrespec – especially useful for patients with chronic conditions or those living in remote areas.Active health monitoring: Apps connect with personal devices (blood pressure, glucose meters, etc.) to record data, send reminders, and provide recommendations for better treatment and reduced hospitalization risks.Save time and costs: Remote consultations and monitoring help minimize hospital visits, detect early warning signs, prevent complications, and lower long-term medical expenses.For patients, health applications make healthcare more convenient, proactive, and personalized.3. What Patients Actually Expect: 4 Key Market Needs for 2026As healthcare technology continues to advance, patient expectations are evolving rapidly. By 2026, the healthcare market will focus on four core needs, reflecting the growing demand for a more convenient, secure, and personalized care experience.3.1. Personalized Health Insights and RecommendationsAccording to Precedence Research, the personalized medicine market is expected to grow rapidly – from about USD 654.46 billion in 2025 to USD 1,315.43 billion by 2034.This trend reflects a clear shift in user expectations: people want tailored recommendations for nutrition, exercise, and medication based on their profiles, behaviors, and wearable data.Therefore, a successful healthcare application must integrate AI to transform raw data from wearables into actionable, highly personalized health insights.Personalized Medicine Market Forecast – Source: Precedence Research3.2. Seamless Telehealth and Virtual CareAccording to Grand View Research, the global telehealth market is valued at around USD 123.26 billion in 2024 and is expected to reach USD 455.27 billion by 2030, growing at a CAGR of 24.7%.This rapid growth is driven by rising patient expectations for a seamless remote care experience, from appointment booking and video consultations to e-prescriptions and post-visit follow-ups.Therefore, digital health solutions should prioritize telehealth integration as a core feature, ensuring smooth and uninterrupted connectivity throughout the entire care process.Global Telehealth Market Forecast – Source: Grand View Research3.3. Deep Integration with IoMT DevicesAccording to Grand View Research, the Internet of Medical Things (IoMT) market is booming - estimated at around USD 230.69 billion in 2024 and projected to exceed USD 2.29 trillion by 2034 as remote patient monitoring (RPM) and wearable devices become mainstream.This trend shows that patients want to deeply connect their home medical devices (blood pressure monitors, glucose meters, SpO2 sensors, ECGs) for continuous tracking and early alerts.Therefore, a modern healthcare application must be device-agnostic and capable of real-time IoMT data processing to deliver instant and meaningful value.Internet of Medical Things (IoMT) Market Forecast – Source: Grand View Research3.4. Robust Security and Data PrivacyAccording to The HIPAA Journal, in 2023 alone, about 133 million medical records were exposed in data breach incidents - and the list continues to grow.User trust begins with security. Patients expect strong protection measures such as end-to-end encryption, access control, and transparency in AI usage (for example, an option to not store personal data).Compliance with standards like HIPAA and adopting a “secure by design” approach – embedding security from the very first stage of development, are mandatory requirements for any healthcare application.Number of Exposed Medical Records in Data Breach Incidents – Source: The HIPAA Journal4. Common Types of Healthcare Apps on the MarketThe digital healthcare market is highly diverse but can generally be divided into three main categories. Each category is designed to serve a different group of users - patients, doctors/clinics, and large healthcare organizations.4.1. Patient-Facing ApplicationsThis is the most common group of applications, focusing on providing tools for direct health tracking and management to end users.Wellness Apps: These apps focus on preventive health. They help users track daily metrics such as physical activity (exercise, step count), sleep quality, nutrition, and mental well-being. (Examples: MyFitnessPal, Headspace, Strava).Chronic Disease Management Apps: Designed for patients with long-term conditions such as diabetes, cardiovascular diseases, or asthma. They help monitor vital signs (blood sugar, blood pressure), provide medication reminders, and share data with healthcare providers.Patient-Facing Applications focus on providing tools for direct health tracking and management to end users.4.2. Provider-Facing ApplicationsThis group of applications serves as daily work tools for doctors, nurses, and administrative staff, helping them optimize clinical tasks and operational management.EHR/EMR Apps (Electronic Health Records): Mobile versions of electronic health record systems that allow doctors to access patient history, view lab results, prescribe medications, and update treatment plans directly from a smartphone or tablet.Practice Management Apps: Software that automates key administrative tasks in clinics - managing appointment scheduling, billing, and insurance processing efficiently.Clinical Reference Tools: Mobile medical libraries that help physicians quickly look up information about drugs, interactions, symptoms, and the latest treatment guidelines.Provider-Facing Applications help doctors, nurses, and administrative staff optimize their clinical tasks and operational management.4.3. Hospital & Enterprise-Level AppsThese are large-scale and complex solutions designed to manage operations and enable data interoperability across entire healthcare organizations.Hospital Management Systems (HIS/HMS): Solutions that manage the full range of hospital operations, including bed management, finance, medical supplies, and human resources, while integrating with other specialized systems such as LIS and PACS.Health Information Exchange (HIE): Foundational platforms that act as intermediaries, allowing hospitals, clinics, and laboratories using different software systems to securely share patient data, giving doctors a comprehensive view of each patient’s health record.Hospital & Enterprise-Level Apps focus on managing operations and enabling data interoperability across entire healthcare organizations.5. The 6-Step Development Process: From Idea to Launch5.1. Step 1: Discovery Phase & Market ResearchGoal: Define the Minimum Viable Product (MVP) scope that meets real market needs while complying with the complex regulatory requirements of the healthcare industry.Deliverables:Product Vision Map and Use-Case ScenariosCore MVP scope with success KPIsPreliminary compliance framework (e.g., HIPAA/GDPR, SaMD scope, FHIR standards)Feasibility brief covering technical aspects and integration capability with systems like EHR/HIS5.2. Step 2: Prototyping and UI/UX DesignGoal: Create an interactive prototype to validate and refine the user experience for both patients and healthcare professionals.Deliverables:Detailed Information Architecture (IA) and User FlowsWireframes and Interactive Prototype (commonly built in Figma) with accessibility guidelinesA complete Design Handoff Package ready for the development teamBuild an Interactive Prototype to validate and refine the end-user experience.5.3. Step 3: Agile Development & IntegrationGoal: Develop core features in short, agile sprints, ensuring clean, secure code and readiness for integration with other systems.Deliverables:Sprint Plan with clearly defined User StoriesModular codebase and secure APIsIntegration capability with specialized systems such as FHIR APIs, medical device SDKs, and payment or insurance gateways5.4. Step 4: Comprehensive Testing & Compliance ChecksGoal: Ensure the application is error-free, highly secure, and fully compliant with healthcare regulations before launch.Deliverables:A comprehensive testing suite including unit, integration, performance, and battery/network testsSecurity testing reports (SAST/DAST, penetration tests) and data encryption verificationA complete Compliance Pack, including risk assessment (ISO 14971) and sensitive data mapping (PHI)Comprehensive testing ensures the application is error-free, highly secure, and fully compliant with healthcare standards before launch.5.5. Step 5: Deployment & ImplementationGoal: Launch the application on App Store/Play Store and ensure a secure, stable, and scalable infrastructure for operation.Deliverables:A complete CI/CD pipeline for automated deploymentApp Store/Play Store listings with security and privacy labelsEncrypted Infrastructure as Code (IaC) and a detailed Runbook for5.6. Step 6: Post-Launch Support & EvolutionGoal: Ensure the application runs smoothly and reliably, with continuous improvements and optimizations based on real user data.Deliverables:Defined Service Level Agreements (SLAs) and incident response proceduresProduct analytics reports to guide the feature development roadmapSecurity maintenance plan (patching, periodic audits) and a scalability plan for future growthPost-launch support and improvement ensure the application remains stable, secure, and continuously evolving over time.6. Navigating the Maze of Compliance & RegulationsDeveloping a healthcare application requires strict compliance with complex regulatory standards. Below are the key frameworks that every organization should understand and follow:6.1. Understanding HIPAA & HITECH (For the US Market)HIPAA (Privacy & Security Rules): The core U.S. regulation that protects Protected Health Information (PHI). It applies to healthcare providers and their business associates, requiring strict technical, administrative, and physical safeguards.HITECH Act & Breach Notification: An extension of HIPAA that enforces data breach notification requirements. Organizations must inform affected individuals and the U.S. Department of Health and Human Services (HHS) in the event of a PHI data breach.NIST Implementation Framework: The National Institute of Standards and Technology (NIST) provides technical guidelines (e.g., SP 800-66r2) to help organizations implement HIPAA Security Rule requirements effectively and practically.HIPAA is the core U.S. law that protects Protected Health Information (PHI).6.2. Adhering to GDPR (For the European Market)Scope & Core Principles: The GDPR protects the personal data of individuals in the European Union (EU). It requires organizations to have a legal basis for processing data and to grant users fundamental rights such as access, deletion, and objection.Data Transfer Outside the EU: GDPR imposes strict rules on cross-border data transfers. Companies must use legal mechanisms such as Standard Contractual Clauses (SCCs) to ensure compliance.Application Requirements: Healthcare applications must adopt the “Privacy by Design” principle, embedding privacy into every stage of development and conduct a Data Protection Impact Assessment (DPIA) for any high-risk data processing activities.GDPR protects the personal data of individuals within the European Union (EU).6.3. Other Key Standards (FDA, PIPEDA, NIST)FDA (Software as a Medical Device - SaMD): This regulation applies when the software itself is considered a medical device. The FDA classifies software risk levels based on how much the product influences clinical decision-making by healthcare professionals.PIPEDA (Canada): Canada’s Personal Information Protection and Electronic Documents Act governs personal data protection in the private sector. It requires organizations to obtain valid user consent, implement adequate safeguards, and allow users to access and correct their data.NIST Cybersecurity Framework (CSF 2.0): A voluntary cybersecurity risk management framework built on five pillars – Identify, Protect, Detect, Respond, and Recover. It serves as a standard playbook to help healthcare organizations establish a strong and resilient security posture.PIPEDA is Canada’s personal data protection law.7. How to Choose the Right App Development Partner?With hundreds of software vendors in the market, finding the right partner requires careful evaluation of their technical expertise and industry experience.Below are four key criteria every business should consider:7.1. Verify Industry Experience & PortfolioHealthcare is a complex domain, and working with a partner who has real industry experience makes a significant difference. Such partners understand clinical workflows and sector-specific challenges, helping you reduce risks and build targeted, effective solutions.You should request:Relevant case studies in your domain (e.g., Telehealth, RPM/IoMT, SaMD, or FHIR integration)A clear description of their role in each project (end-to-end delivery or partial involvement)Performance metrics demonstrating results (e.g., % reduction in processing time, % user adoption rate)You should request to see real case studies relevant to your industry.7.2. Assess Technical Proficiency & Security FocusTechnical expertise reflects a partner’s ability to choose the right technologies, design a flexible system architecture, and resolve challenges efficiently during development. A technically strong partner ensures the product runs smoothly, scales easily, and reduces long-term maintenance costs.You should request:Proven skills in data architecture and device integration (SDKs)A detailed description of security controls, including data encryption (at rest/in transit), role-based access control (RBAC), and secret management7.3. Confirm Expertise in HIPAA/GDPR ComplianceHealthcare applications often collect, store, and process personal data such as medical records, lab results, and payment information. If not properly protected, this data can be exposed, leading to serious legal, reputational, and financial consequences.HIPAA (Health Insurance Portability and Accountability Act) sets strict rules for how U.S. organizations handle Protected Health Information (PHI) – including encryption, access control, activity logging, and breach reporting.GDPR (General Data Protection Regulation) the EU’s privacy law, requires companies to be transparent about how they collect, use, and store personal data, while granting users full control over their informationYou should ask:How do they handle sensitive data (PHI/PII) and manage user consent?Can they demonstrate expertise in HIPAA/GDPR compliance, proving they understand both technical and legal requirements in healthcare data protection?You should ask your partner about their data breach response process.7.4. Evaluate Post-Launch Support & Maintenance PlanApp development is only the beginning. After launch, the product must be regularly updated to fix bugs, enhance features, maintain security, and stay compatible with changing platforms and integrated systems. Without a clear maintenance plan, the app can quickly become outdated, insecure, or experience service interruptions.You should request:A detailed maintenance plan, including update frequency, incident response process, and response time commitments.Proof of post-launch operational capability, such as a 24/7 support team, performance monitoring procedures, and system scalability.You should request a clear Service Level Agreement (SLA) commitment.8. Why Partner with TMA Solutions?8.1. About TMA SolutionsFounded in 1997, TMA Solutions is one of Vietnam’s most experienced and largest software outsourcing companies. With 28 years of operation, a team of over 4,000 engineers, and offices in seven countries, TMA provides end-to-end software development services and advanced Data/AI solutions for clients across more than 30 countries.Technical Capabilities & Platforms:Data & AI End-to-End: Comprehensive solutions from Data Engineering (ETL/ELT, data lake/warehouse) to Analytics/BI, AI/ML, and Generative AI.Data Solution Center: A cloud-native, scalable framework optimized for real-time data processing and AI integration.IoMT & Edge AI: Experienced in integrating dozens of medical devices, deploying smart health kiosks, and running edge AI for camera-based analysis.Healthcare OCR/NLP: Developing automated data extraction solutions from prescriptions and medical records to reduce manual input.Healthcare Domain Expertise:Telehealth & Patient Apps: Building remote care workflows, virtual assistants, and post-visit patient monitoring systems (RPM).Healthcare Analytics: Developing medical analytics platforms that consolidate data from multiple sources (including EHRs) and provide clinical dashboards.Security & Compliance: Implementing strict security frameworks (ISO 27001), Secure SDLC practices (SAST/DAST, penetration testing), and CMMI Level 5 quality management processes.TMA Solutions – A professional software company with 28 years of experience and over 4,000 engineers.8.2. Relevant Case StudiesTMA’s capabilities are best demonstrated through real-world projects, such as:8.2.1. AI-Powered Personalized Health InsightsThis solution provides personalized health summaries and alerts, helping patients stay informed and engaged in their care. As a result, it achieved a 30% improvement in treatment plan adherence among patients.Healthcare Virtual Assistant8.2.2. Telehealth Expansion for Better AccessTMA developed a HIPAA-compliant Telehealth application supporting over 150 hospitals in Vietnam and Canada.The solution offers virtual consultation and real-time patient monitoring, helping reduce emergency room visits by 60% and increase patient satisfaction by 35%.Virtual Primary Care Service8.2.3. IoMT Integration through Health KiosksTMA developed a Health Kiosk solution for pharmacies, integrating IoMT devices that allow users to perform self-health checks and receive remote consultations.The solution has been deployed in Vietnam and Australia, resulting in a 25% increase in preventive care participation.Telehealth Kiosk for Remote Health Checks8.2.4. Security and Compliance FrameworksTMA integrated HIPAA-compliant security features – including encryption, real-time breach detection, and role-based access control – into its healthcare software solutions. These measures helped clients reduce data breach risks by 40%.Healthcare Data Analytics9. Frequently Asked Questions (FAQs) about custom health app developmentBelow are some frequently asked questions (FAQs) that help clarify the development and classification of digital healthcare applications:Q1: What are the most popular types of health apps?The most common and fast-growing types of digital health applications today include:Telehealth & Virtual Care: Platforms for remote medical consultations and treatment.Remote Patient Monitoring (RPM): Solutions for tracking patient health remotely, often integrated with IoMT devices or wearables.Chronic Disease Management: Apps that help manage long-term conditions such as diabetes or cardiovascular diseases.Wellness & Mental Health: Apps focused on lifestyle, nutrition, and mental well-being.Patient Portals & EHR Access: Portals that allow patients to access their electronic health records (EHRs) securely.Medication Adherence: Apps designed to remind and monitor medication compliance.Q2: What is the difference between a wellness app and a medical app?The key difference lies in purpose and risk level.Wellness Apps: Aimed at promoting healthy lifestyles (e.g., tracking nutrition, exercise, or sleep). They do not claim medical purposes and pose low risk, so they are not strictly regulated by the FDA.Medical Apps (SaMD): Designed for medical purposes such as diagnosis, treatment, or disease mitigation. These are classified as Software as a Medical Device (SaMD) and must comply with strict FDA regulations.Q3: How much does Digital Health Solutions cost?The cost of developing a custom digital health solution can vary significantly depending on its complexity and compliance requirements. Below is a general estimate:Wellness App (Simple MVP): Typically ranges from $30,000 – $120,000.Complex Applications (Telehealth, RPM): May cost between $50,000 – $450,000+.Enterprise-Level Solutions (EHR/Healthcare Platforms): Usually start at $500,000+.The cost of developing a custom digital health solution varies widely, depending on its complexity and regulatory compliance requirements.Building a successful digital healthcare application requires balancing user experience, robust technical architecture, and strict regulatory compliance with standards such as HIPAA and GDPR. Choosing a partner with proven experience across all three areas is essential to ensure your product operates securely and reliably.With 28 years of experience and deep expertise in digital health, TMA Solutions is ready to help you transform your idea into a validated, secure, and scalable solution.>> Contact our experts today for a consultation!Contact information:TMA SOLUTIONS - The leading Custom Health App Development Company in Vietnam.Email: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

A company developing HealthTech applications needs to prove its capacity in three aspects: real experience in healthcare, strong technological capability, and a reliable professional team. This is the foundation for creating safe, and easy-to-use solutions for hospitals, clinics, or healthcare startups. The following article will introduce the most trusted companies in this field to help you find the right choice.HealthTech App Development CompanyIndustry Expertise in HealthTechTechnology CapabilityTMA SolutionsDeveloping HealthTech solutions such as telehealth, HIPAA-compliant apps, and supporting many sectors in healthcare~4,000 engineers, CMMI3, TL9000, R&D centerFPT SoftwareTelehealth, AI-CDS, Deepclinics diagnostics, Awards Healthcare AsiaGlobal tech leader, AI factory, partnership with NVIDIAKMS TechnologyKMS Healthcare focuses on healthcare softwareTop 10 Digital Tech in VN, global delivery centersSavvycom SoftwareSavvyHIS hospital system, healthcare solutions16+ years, 500+ projects, Top Digital Tech in VietnamOrient SoftwareTelemedicine platforms, EMR/EHR systems, patient portals, healthcare analytics, compliance & security in healthtech.20+ years, 350+ staff, ISO/AI/Cloud certifications1. TMA SolutionsExperience & Expertise in HealthTech: TMA Solutions has more than 15+ years of experience in HealthTech and serves clients from over 30 countries. It runs a dedicated HealthTech Center that builds practical solutions such as remote health monitoring, senior care support to connect with doctors or caregivers, telehealth platforms for online consultation, and electronic health record systems.Technology Capabilities: TMA owns many specialized centers and labs, such as the HealthTech Center, AI Center, IoT Center, and Hardware Lab. These support R&D, prototype building, device integration, big data analytics, and deployment.Team & Talent: The company has about 4,000 engineers, including experts in technology, design, and R&D. TMA also works with about 65 universities. This partnership helps recruit interns and build internal training programs in technical skills.Portfolio & Key ClientsTMA has carried out many healthcare projects, such as:Remote Health Monitoring Solution: TMA developed a remote health monitoring system by collecting data from medical devices, wearables, lab results, and patient records. The system analyzes vital signs and sends early alerts to doctors and family members when it detects abnormal signalsElderly Care Solution: TMA delivered a care service for seniors using wearables and health sensors. The solution supports continuous monitoring, remote consultation, and medicine reminders. The solution includes remote consultation and medication reminders, supporting consistent and high-standard at-home care.Rehabilitation Support Solution: TMA created a system that lets users check their basic health status using onsite medical devices. The data connects to a remote consultation system, improving user experience and reducing pressure on healthcare facilities.Certifications & Achievements: Throughout its operations, TMA has earned Healthtech Standards & Compliance Leverage your expertise in HIPAA, GDPR, FHIR, PACS & DICOM, and HL7 to ensure compliances.. At the same time, TMA has built many R&D centers focused on innovation and specialization in HealthTech.>> See the projects TMA has carried out here: https://staging.tmasolutions.com/case-studiesChecking the Medical Registration Kiosk developed by TMA HealthTech Center — bringing smarter and faster healthcare solutions to life.2. FPT SoftwareExperience & Expertise in HealthTech: FPT Software has more than 15–17 years of working with medical device manufacturers and healthcare organizations worldwide. It develops software for medical devices, Hospital Information Systems, digital health platforms, telehealth, virtual care, and remote patient monitoring. The company has also carried out several projects for partners in countries such as Singapore and Australia to modernize healthcare systems with cloud and microservices.Technology Capabilities: FPT Software applies modern technologies such as AI / Machine Learning, Internet of Things (IoT), Data Analytics, Cloud Computing, and Low-Code / No-Code. They are capable of developing software for medical devices, embedded systems, and design solutions that meet regulatory compliance standards such as HIPAA, FDA, HL7, and ISO 1348.Team & Talent: FPT Software runs over 80 offices with more than 500 experts in AI and development centers across Asia, Europe, and the US. The company serves clients in over 30 countries.FPT Software’s booth showcased digital transformation and smart automation solutions at an international tech event.3. KMS TechnologyExperience & Expertise in HealthTech: Founded in 2009, KMS Technology owns a specialized unit called KMS Healthcare, which has spent more than a decade focusing on developing and testing healthcare software. They create products such as mobile applications, remote patient monitoring, telehealth, and healthcare compliance systems.Technology Capability: KMS Healthcare offers integration solutions for healthcare systems like EHR/EMR, supports SMART on FHIR, HL7 (v2/v3), CDA standards, CCD, and custom APIs. These features help simplify data exchange and make clinical data sharing more flexible and secure. KMS has achieved certifications such as SOC 2 Type II, HITRUST-CSF, and ISO/IEC 27001:2013, ensuring healthcare data security meets international standards.Team & Talent: KMS provides Dedicated Healthcare Software Development Teams with strong experience. The teams are supported by top local talent in Vietnam to ensure long-term success and high-quality performance in product development.The young and passionate team at KMS Technology during a community engagement activity.4. Savvycom SoftwareExperience & expertise in HealthTech: Savvycom has more than 15 years of experience in delivering healthcare technology solutions. The company has worked with many hospitals and healthcare organizations, including Medlatec, to develop cloud-based EHR systems and mobile healthcare applications.Technology capability: Savvycom manages more than 700 skilled engineers and has successfully completed over 500 projects for 200+ global clients. The company owns the SavvyHIS system—a hospital management platform with over 40 integrated modules, helping optimize operations and improve the patient experience.Team & Talent: Savvycom currently has more than 350 technology experts specializing in software development, artificial intelligence (AI), machine learning (ML), software testing, UI/UX design, and project management.Young and energetic staff at Savvycom working offices, showing a youthful and lively environment in the technology industry.5. Orient SoftwareExperience & expertise in HealthTech: Orient Software has carried out several HealthTech projects, such as developing digital health information platforms (for example, Hello Health) in Asia. The company also provides specialized development teams in ReactJS and PHP to quickly launch MVP products to the market.Technology capability: Orient Software offers a wide range of technologies, including web development, mobile applications, UI/UX, QA/testing, cloud and infrastructure, Data & AI/Machine Learning. It works with various frameworks and programming languages such as React, Angular, .NET, Java, PHP, Python, and Node.js. The company applies different models like Dedicated Team, Extended Team, and outsourcing.Team & Talent: Orient Software has around 350+ highly skilled engineers, working across both local and international offices.Orient Software employees participate in internal OKRs training sessions, showing a spirit of learning and commitment to sustainable development.6. Criteria for Choosing a HealthTech App Development CompanyIn the process of choosing a suitable HealthTech app development company, careful consideration is required. Below are some criteria you can refer to before making a decision:Choose a company that has real experience in building apps for hospitals, clinics, or health startups: Hospitals and clinics have many special processes such as check-ups, tests, prescriptions, appointments, medical records, reports, and various legacy systems that apps need to integrate with. If a company has never worked on real healthcare projects, it may design apps that do not fit daily workflows. An experienced provider knows how to build stable apps that can be applied in high-demand hospital environments.Make sure the company follows international rules such as HIPAA or GDPR: Health apps deal directly with patients’ sensitive data. Therefore, the developing company must strictly comply with international standards like HIPAA (USA) or GDPR (EU) to ensure security, privacy, and safety of health information.Be strong in modern technologies like mobile development, cloud systems, AI, or IoT: HealthTech development relies on many technologies. If the company understands platforms like mobile, cloud computing, artificial intelligence (AI), and Internet of Things (IoT), they can create smarter and more flexible applications.Review their past projects to assess their experience with similar healthcare apps: Reviewing previous projects shows whether the company has experience with similar products or not. If they have developed telemedicine apps, hospital management, or personal health care apps, they are more likely to quickly understand the requirements and carry out the work, ensuring high quality and reliable results.7. 3 frequently asked questions about healthtech app development company1 - How much does it cost to hire an app development company?The cost of hiring a company to develop a HealthTech app can range from $10,000 to over $150,000, depending on the complexity of the project, the development model, and the company’s location. Companies in North America and Western Europe usually charge more than those in Eastern Europe or Asia.2 - What apps are used in healthcare?In modern healthcare, many apps have been developed to support health monitoring, remote consultation, and treatment management. These apps help improve healthcare outcomes and enhance user experience. Below are some popular apps commonly used in the healthcare field:Medisafe: A medication reminder app that tracks treatment and supports caregivers. It also syncs with wearable devices. The interface is easy to use and offers daily/weekly/monthly reports.Teladoc: Connects patients with doctors, therapists, and nutritionists for 24/7 consultations. Offers translation services and direct care programs.MySugr: A diabetes management app for tracking blood sugar levels. It has a friendly interface, includes fun challenges, and works with Apple Health/Google Fit.MyChart: A patient portal that allows users to schedule appointments, view medical records, make payments, and contact doctors — all in one app.3 - What are the 6 steps of developing an app?The app development process includes 6 main steps:Research: Analyze market demand, target users, and technology trends.Planning: Define goals, core features, and select suitable technologies.Design: Create user interfaces (UI) and user experiences (UX) that are intuitive and easy to use.Development: Code and integrate features based on technical requirements.Testing: Test functions, performance, security, compatibility, and user experience. Fix bugs, improve the app, and ensure quality before launch.Release: Launch the app on stores (App Store, Google Play), prepare documents, and monitor after deployment. Then continue to maintain, update, and improve the app based on user feedback.A reliable HealthTech app development company must not only understand technology but also have strong knowledge of healthcare specifics to create clinically validated products. This is the key to making apps that both meet regulations and deliver good experiences for hospitals, clinics, and end users. If you are looking for a healthtech app development company, contact TMA for consultation.Contact information:TMA SOLUTIONS - The leading healthtech app development in VietnamEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.

Development workflows are a set of steps that guide software teams from initial idea to deployment. This article will help you understand the main stages of a project and the key workflow models commonly used today.1. Key stages in a typical AI product development workflowThe AI product development process consists of several stages that guide the journey from the initial concept to the final product. Specifically:An overview of the process for developing and operating software1.1. Step 1: Product PlanningThis is the initial stage where the project team and the client work together to define the product’s goals, target users, and project scope. In this step, the team also agrees on the KPIs (key performance indicators) and creates a roadmap to make sure the product stays on track and meets market needs.Main roles in this stage:Product Owner (PO): Represents the client and stakeholders, shapes the product vision, and provides requirements.Project Manager (PM): Manages the whole process, makes sure the project follows the plan, timeline, and allocated resources.Business Analyst (BA): Analyzes market needs, collects business requirements, and turns them into clear technical requirements for the development team.Product Planning: The process and simple best practices for success1.2. Step 2: Solution ConsultingAfter the initial idea, the team moves to solution consulting. The goal is to choose the right technology and check if the plan is possible. Within well-structured development workflows, this stage covers drafting a simple system design, estimating costs, reviewing lessons from past projects, and considering new trends such as cloud computing, AI, or automation.Main roles in this stage:Project Manager (PM): Manage schedule, resources, and budget, and ensure overall feasibility.Business Analyst (BA): Analyze detailed requirements and clarify use cases to keep the solution on track.QA/Tester (early involvement): Participate early to predict technical risks, give a testing view, and ensure quality from the start.Solution Consulting: select technology and assess feasibility1.3. Step 3: Business AnalysisAfter solution consulting, the team moves to gather and analyze detailed requirements from the client and stakeholders. The tasks include writing requirement documents (BRD/PRD), drawing business process diagrams, listing stakeholders, and holding meetings so the client can follow and adjust in time.Main roles in this stage:Business Analyst (BA): Key role. Collects requirements, analyzes business needs, clarifies use cases, and turns them into documents or technical requirements.Project Manager (PM): Coordinates tasks, tracks the progress of analysis, and ensures requirement documents match the project scope.Tech Lead: Reviews the technical feasibility of requirements and makes sure they can be implemented.QA/Tester: Helps define acceptance criteria and testing conditions from the start.Business Analyst: Bridge between business needs and technical requirements1.4. Step 4: R&D PoC PrototypeAt this step, the team creates small tests or prototypes to check technical feasibility and evaluate the performance of algorithms. By placing this phase within broader development workflows, clients gain a clearer view of the idea and can better decide which areas require further development before full deployment.Main roles in this stage:R&D Engineer / Developer: Build PoC code and prototypes to test the idea.Tech Lead: Guide architecture, choose technology, and ensure the prototype can scale later.QA/Tester: Join early to test features, stability, and find technical risks in the prototype.Project Manager (PM): Track progress, manage resources, and make sure the PoC/Prototype meets its goal of proving feasibility.Prototype – Stage to validate idea and technology1.5. Step 5: UX/UI DesignAt this step, the first idea is turned into a visual design so everyone can thoroughly comprehend. The design team creates wireframes and interactive prototypes. Then, a group of sample users test the prototype and give feedback. The goal is to make sure the final product is user-friendly, and gives an excellent user experience.Main roles in this stage:UX Designer: Study user behavior, build flows, wireframes, and overall experience.UI Designer: Design the visual interface, colors, typography, and product style.Front-end Developer: Join to make sure the design can be implemented technically.Project Manager (PM): Manage progress, set priorities, and ensure the design matches the product goals.QA/Tester: Focus on testability, usability, and consistencyDesigner works with BA & PO to complete the design, QA reviews for consistency1.6. Step 6: Technical SolutionWhen the interface design is ready, the technical team builds the detailed system architecture. This includes database design, infrastructure setup, and automated deployment using CI/CD pipelines. Within modern development workflows, this stage is essential to ensure security checks, backup and recovery standards, and scalability of every system component.Main roles in this stage:Tech Lead: Build the system architecture, define technologies, and set technical standards.System Engineer / DevOps: Design infrastructure, deployment environment (cloud or on-premise), and CI/CD pipelines.Project Manager (PM): Coordinate schedule and resources, ensure the solution fits the project scope.Developers: Review and suggest technical details for each module.QA/Tester: Define quality criteria and technical risks early in the design stage.Technical Solution: System architecture & technical plan1.7. Step 7: DevelopmentThis is the stage where the product comes to life. The development team writes code, builds APIs, integrates systems, and develops both the frontend (user interface) and backend (business logic and data). Work is divided into sprints (short development cycles). After each sprint, a test build is shared with QA to check quality and keep progress transparent.Main roles in this stage:Front-end Developer: Build the user interface based on the UX/UI design.Back-end Developer: Develop business logic, APIs, and database.Mobile Developer: Build applications for iOS/Android.DevOps Engineer: Set up environments, CI/CD, and automate build and deploy.Tech Lead: Provide technical guidance, review code, and ensure compliance with the planned architecture.QA/Tester: Test in parallel (unit test, integration test) to ensure quality.Project Manager (PM): Track development progress, manage scope, and control resources.Development: From idea to product1.8. Step 8: TestingThis stage is designed to detect bugs early and ensure a smooth user experience before release. Testing also reinforces the reliability of the overall development workflows, making sure that both functionality and performance align with expectations. The team applies different methods such as functional, performance, security, and user acceptance testing.Main roles in this stage:QA Engineer / Tester: Run planned tests (unit, integration, system, UAT), find and report bugs.Automation Tester: Create scripts and tools for automated tests to improve efficiency and accuracy.Developers (Front-end / Back-end / Mobile): Fix bugs and work with QA to ensure code quality.Tech Lead: Oversee the testing process and confirm quality before release.Project Manager (PM): Track testing progress, handle bug priorities, and make sure the product meets standards before delivery.QA tests functionality, performance, security & system integration1.9. Step 9: Porting & MigrationOnce the system is ready, the Porting & Migration process facilitates the transfer of data and applications from the old platform to the new one. The team controls data integrity, prepares a fallback plan in case of issues, and updates all documents after migration.Main roles in this stage:System Engineer / DevOps: Handle infrastructure and deployment environment, ensure safe porting/migration.Database Administrator (DBA): Manage data transfer, optimize performance, and ensure data integrity and security.Developers (Back-end / Mobile / Front-end): Adjust code for compatibility with the new platform or system.Tech Lead: Guide technical direction, supervise the migration process, and solve any arising problems.QA/Tester: Test after migration to ensure data, features, and performance are not affected.Project Manager (PM): Coordinate schedule, manage risks, and make sure the migration meets project needs.Porting & Migration: Safe system and data transfer1.10. Step 10: Production SupportIn this stage, the goal is to keep the system stable and support users after release. The team monitors performance, fixes issues, and applies patches to ensure smooth operations while maintaining alignment with established development workflows.Main roles in this stage:Support Engineer / Helpdesk: Receive and resolve user issues, support daily system operations.System Engineer / DevOps: Monitor infrastructure, optimize performance, and ensure system availability.Developers (L2/L3 Support): Fix software bugs, apply security patches, or make small improvements.QA/Tester: Re-test hotfixes and patches before official release.Project Manager / Service Manager: Manage SLAs, classify incidents, and coordinate resources for timely resolution.IT Managed Services: Qu?n lý h? t?ng, b?o m?t, chi phí cloud & t?i uu tài nguyên1.11. Step 11: IT Managed ServicesIn the operation stage, the AI team focuses on managing IT infrastructure, applying security updates, controlling cloud costs, and optimizing resources. The team also performs regular security audits, makes long-term upgrade plans, and provides KPI and SLA reports so clients can track easily.Main roles in this stage:IT Support / Helpdesk: Handle daily support requests from users.System Engineer / Network Engineer / DevOps: Manage infrastructure, servers, networks, and cloud to ensure system availability and safety.Security Specialist (SOC/Infosec): Monitor cybersecurity, detect threats, and handle incidents.Database Administrator (DBA): Manage databases, optimize performance, and perform backup and restore when needed.Service Manager / Project Manager: Track SLAs, report service quality, and coordinate resources.Waterfall: Suitable for AI projects with clear requirements, proven data & algorithms2. Common AI product development workflow modelsIn practice, the AI product development process often follows two common models: Waterfall and Agile. Below is a comparison table of Waterfall and Agile, applied to the AI product development workflow:CriteriaWaterfallAgileHow it worksSequential process, each stage is clearly defined, with no return to previous steps.Iterative development, split into small sprints, flexible and adaptable to changes.AdvantagesClear plan, comprehensive documents, easy to manage, good quality control.Flexible, fast response, frequent testing, suitable for AI products that need experiments.LimitationsLess flexible, hard to change, costly and time-consuming to adjust.Can lose control if poorly managed, requires strong teamwork and constant involvement.When to useAI projects with clear needs, proven data/algorithms (e.g., legacy systems, fixed analytics)AI projects with data that changes often, need constant testing (e.g., chatbots, recommendation, new ML models)2.1. Waterfall workflowHow it works: The Waterfall model follows a linear sequence where each stage must be finished before moving to the next: Initiation ? Analysis ? Design ? Implementation ? Testing ? Operation/Maintenance. Every stage has clear goals and documents, which serve as the basis for the next step.Advantages:Fixed plan: Steps are defined from the start, providing a clear roadmap for the team.Detailed documents: Each stage has standard documents, easy to manage and hand over.Quality control: Quality is checked at every step before moving forward.Easy to manage: Suitable for less experienced teams, as the process is strict and predictable.Best fit for clear projects: Ideal for projects with well-defined requirements, data, and outputs from the start.Limitations: The biggest weakness is the lack of flexibility. Adapting to new requirements or risks can be difficult, and changes in later stages can significantly increase time and costs.When to use: Waterfall is suitable for AI projects with clear inputs and outputs, where data and algorithms are already proven.Examples: Integrating AI into a legacy system, building fixed analytics and reporting solutions, or projects that require strict compliance and tight control.2.2. Agile workflowHow it works: Agile uses an iterative process. The product is divided into small versions or features, delivered in short cycles (sprints). After each sprint, the team gets feedback from clients, end users, or the market, then quickly improves and adjusts. This makes Agile one of the most adaptive development workflows for dynamic projects.Advantages:Flexible: Easy to change or adapt when risks appear.Fast response: Plans can be updated when new insights from data are found.Fit for AI products: Supports many experiments and continuous improvement.Frequent quality checks: Helps find bugs early and keep the product stable.Optimized by reality: Algorithms and features improve step by step, based on feedback and real use.Limitations: Agile can lead to lack of control if management is weak or if documents are not updated often. This method also requires close teamwork and the ability to react quickly.When to use: Agile is suitable for AI projects where data changes often or continuous experimentation is needed.Examples: Building chatbots, recommendation systems, business process automation, or developing new machine learning models.Agile: Suitable for AI projects with frequently changing data or continuous exploration needsIn real projects, TMA Solutions prefers to use the Agile model for AI product development. Agile helps TMA teams stay flexible, adapt easily when data or requirements change, and keep clients involved throughout the process. This approach allows the product to improve in short cycles and quickly reflect market needs as well as user feedback.Development workflows ensure that technology projects run effectively, from planning to deployment and continuous improvement. Each model, such as Waterfall or Agile, has its own strengths and limits, depending on the product type and business goals.If you need an experienced partner to apply Agile in AI product development, contact TMA Solutions for expert consulting and long-term support.Contact information:TMA SOLUTIONS - The leading software outsourcing company in VietnamEmail: sales@tmasolutions.comWebsite: https://staging.tmasolutions.com/Linkedin: TMA SolutionsTMA Tower address: Street #10, Quality Tech Solution Complex (QTSC), Trung My Tay Ward, Ho Chi Minh City.