Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components.

Introduction: Ecosystem-centered healthcare innovations, such as digital health platforms, patient-centric records, and mobile health applications, depend on the semantic interoperability of health data. This ensures efficient, patient-focused healthcare delivery in a mobile world where citizens frequently travel for work and leisure. Beyond healthcare delivery, semantic interoperability is crucial for secondary health data use.

TermX: A Game Changer in the Healthcare Interoperability.

The necessity for robust, enduring, and relevant healthcare interoperability is universal across all clinical domains. However, we identified a gap in the availability of open-source, no-cost, high-quality tools that offer multilingual support and an advanced graphical interface. To address this, we developed TermX, an open-source platform to harmonise terminology and support interoperability between healthcare institutions and systems.

Standardizing X-Ray and Angiography Procedure Coding in Estonia: Validating TermX Through the Implementation of SNOMED CT.

Background: The existence of multiple code systems and standards has highlighted the necessity for innovative solutions to bridge these discrepancies.

Objectives: This research investigates the utilisation of TermX to tackle the challenges of interoperability in radiology procedures, with a specific emphasis on angiography and X-ray modalities.

Results: The study produced a revised RadLex data model and mapping guide, designed to classify radiology services using TermX.

Migration from HL7 CDA to FHIR in Infectious Disease System of Estonia.

On the basis of the Estonian National Health System, we propose a universal and reusable methodology for migrating HL7 CDA documents or their components.