Top 10 innovative AI software for healthcare from TMA

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 Care

In Diagnosis & Patient Care, AI helps doctors make better decisions and improve patient services.

1.1. AI software for Sleep Quality Data Analytics & Sleep Apnea Detection

Challenge: 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.

1.2. AI software for Atrial Fibrillation Detection using ECG

Challenge: 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.

1.3. AI software for Fall Detection & Stroke Assessment

Challenge: 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.

1.4. AI software for Data Extraction & OCR

Challenge: 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.

1.5. AI software for Customer Service Chatbot & AI Health Chatbox

Challenge: 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.

1.6. AI software for Smart Q&A Call Center Assistant

Challenge: 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.

2. AI software for Healthcare System & Operations

Next, 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 Solution

Challenge: 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.

2.2. AI software for Telehealth Kiosk with AI Integration

Challenge: 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.

2.3. AI software for Home Usage Medicine Dispenser & Reminder

Challenge: 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.

2.4. AI software for Activity & Health Data Tracking for Senior Resident

Challenge: 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.

3. 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.

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