Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components
The proposed tool and techniques simplify health data transformation by allowing domain experts to specify and validate the necessary data transformation rules and maps. Evaluation by ENHIS domain experts demonstrated the usability, effectiveness, and business value of the tool and techniques.
Authors
- Gunnar Piho (ORCID: https://orcid.org/0000-0003-4488-3389)
- Igor Bossenko (ORCID: https://orcid.org/0000-0003-1163-5522)
- Peeter Ross (ORCID: https://orcid.org/0000-0003-1072-7249)
- Rainer Randmaa
Institutions
- Tallinn University of Technology (EE)
- East Tallinn Central Hospital (EE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3389/fdgth.2024.1480600
- Citations
- 12
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 8.49
Funders
- European Commission