A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study
Journal of Medical Internet Research2023Vol. 25, pp. e42822–e42822
Citations Over TimeTop 10% of 2023 papers
Ali Anıl Sınacı, Mert Gençtürk, Huseyin Alper Teoman, Gökçe Banu Laleci Ertürkmen, Celia Álvarez-Romero, Alicia Martínez-García, Beatriz Poblador‐Plou, Jonás Carmona‐Pírez, Matthias Löbe, Carlos Luís Parra-Calderón
Abstract
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.
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