A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study.
A Anil SinaciMert GencturkHuseyin Alper TeomanGokce Banu Laleci ErturkmenCelia Alvarez-RomeroAlicia Martínez-GarcíaBeatriz Poblador-PlouJonás Carmona PírézMatthias LöbeCarlos Luis Parra CalderónPublished in: Journal of medical Internet research (2023)
We developed and extensively evaluated our data transformation approach to unlock the value of existing health data residing in disparate data silos to make them available for sharing according to the FAIR principles. We showed that our method can successfully transform existing health data sets into HL7 FHIR without loss of data utility, and the result is FAIR in terms of the FAIR Data Maturity Model. We support institutional migration to HL7 FHIR, which not only leads to FAIR data sharing but also eases the integration with different research networks.