
Solution Highlights
- Utilizes Natural Language Processing (NLP) to extract patient data from unstructured, semi-structured, and structured sources.
- Supports seamless integration with legacy healthcare systems, including HL7 v2, CDA, and DICOM.
- Transforms clinical data into FHIR-compliant resources to enable standardized interoperability across platforms.
- Ensures full compliance with international privacy and security regulations such as GDPR, HIPAA,…
- Improves data accessibility for real-time analytics, AI applications, and digital healthcare innovation.
FHIR transformation service – Bridging Legacy Systems and Modern Healthcare Platforms


Problem Statement
In today’s healthcare environment, clinical data exists in a variety of formats—ranging from handwritten notes and spreadsheets to EMR systems built on outdated standards like HL7 v2 or CDA. This fragmented and non-standardized data landscape causes operational inefficiencies, disrupts workflows, and makes it difficult to leverage data-driven technologies.
Despite the growing need for digital transformation, many healthcare providers rely on legacy systems that cannot natively interact with modern, cloud-native platforms. Integration with these systems often requires manual processes, custom coding, or middleware solutions—resulting in delays, data quality issues, and limited scalability.
To solve this, TMA Solutions, a leading software engineering company in Vietnam, introduced the FHIR Transformation Service. This platform uses advanced NLP, data processing pipelines, and interoperability standards to transform heterogeneous clinical data—including from HL7 v2, CDA, and DICOM—into standardized, FHIR-compliant resources. The result is faster integration, real-time data access, and a future-ready foundation for AI and patient-centered care.

Solutions
A smart, secure, and interoperable healthcare data transformation system:
- Data extraction: NLP modules extract structured insights (e.g., demographics, diagnosis, treatment) from unstructured or semi-structured content like PDFs, doctor notes, or emails.
- FHIR conversion: Converts extracted and structured data—including from HL7 v2, CDA, or DICOM formats—into FHIR resources.
- Data integration pipeline: Merges, maps, and enriches multi-format data into a unified model for analytics or sharing.
- ETL & Visualization: Loads the output into FHIR repositories or analytics systems, supporting dashboards, clinical reports, and AI pipelines.

Benefits
- Interoperability-Driven: Seamlessly integrates data from both legacy and modern systems into a single FHIR-compliant framework.
- Reduced manual burden: Automates complex data extraction and transformation tasks, reducing dependency on manual workflows.
- Secure & Compliant: Fully aligns with GDPR, HIPAA, and healthcare data privacy standards—ensuring secure access control, audit trails, and encryption.
- Ready for AI & Analytics: Provides clean, structured data for powering machine learning models, predictive tools, and clinical decision support.
- Future-Proof: Enables scalable integration with national health systems, insurance APIs, and patient apps via standardized APIs.

Contact Us
Share with us your challenges. We are here to support.
