Mapping the SPHN Dataset to FHIR.

Area of Science:

• Health Informatics
• Data Science
• Biomedical Research

Background:

• European initiatives focus on making health data FAIR (Findable, Accessible, Interoperable, Reusable) for research and healthcare.
• Coordinated data models, infrastructures, and tools are essential for national health data communities.

Purpose of the Study:

• To present the first mapping of the Swiss Personalized Healthcare Network (SPHN) dataset to Fast Healthcare Interoperability Resources (FHIR).
• To assess the feasibility of using FHIR for Swiss health data exchange.

Main Methods:

• A comprehensive mapping of SPHN dataset concepts to FHIR resources was performed.
• Analysis involved identifying suitable FHIR resources and datatypes for representing health data.

Main Results:

• All SPHN data concepts were successfully mapped using 22 FHIR resources and three datatypes.
• This demonstrates a foundational step towards FHIR adoption for SPHN data.

Conclusions:

• The mapping provides a basis for developing a FHIR specification for SPHN data.
• This initiative has the potential to enable seamless data conversion and exchange between research networks, enhancing collaborative research and healthcare.