openEHR-to-FHIR: Converting openEHR Compositions to Fast Healthcare Interoperability Resources (FHIR) for the German Corona Consensus Dataset (GECCO)

Autor: Nektarios, Ladas, Stefan, Franz, Birger, Haarbrandt, Kim Katrin, Sommer, Severin, Kohler, Sarah, Ballout, Johanna, Fiebeck, Michael, Marschollek, Matthias, Gietzelt
Rok vydání: 2022
Předmět:
Zdroj: Studies in health technology and informatics. 289
ISSN: 1879-8365
Popis: The German Corona Consensus (GECCO) established a uniform dataset in FHIR format for exchanging and sharing interoperable COVID-19 patient specific data between health information systems (HIS) for universities. For sharing the COVID-19 information with other locations that use openEHR, the data are to be converted in FHIR format. In this paper, we introduce our solution through a web-tool named "openEHR-to-FHIR" that converts compositions from an openEHR repository and stores in their respective GECCO FHIR profiles. The tool provides a REST web service for ad hoc conversion of openEHR compositions to FHIR profiles.
Databáze: OpenAIRE