Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Implementation of HL7 FHIR-Based Terminology Services for a National Federated Health Research Infrastructure

Joshua Wiedekopf*, Tessa Ohlsen, Alan Koops, Ann Kristin Kock-Schoppenhauer, Muhammad Adnan, Sarah Ballout, Nele Philipzik, Oya Beyan, Andreas Beyer, Michael Marschollek, Josef Ingenerf

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Introduction: As part of the German Medical Informatics Initiative (MII) and Network University Medicine (NUM), a central research terminology service (TS) is provided by the Service Unit Terminology Services (SU-TermServ). This HL7 FHIR-based service depends on the timely and comprehensive availability of FHIR terminology resources to provide the necessary interactions for the distributed MII/NUM infrastructure. While German legislation has recently instituted a national terminology service for medical classifications and terminologies, the scope of the MII and NUM extends beyond routine patient care, encompassing the need for supplementary or specialized services and terminologies that are not commonly utilized elsewhere. Methods: The SU-TermServ's processes are based on established FHIR principles and the recently-proposed Canonical Resources Management Infrastructure Implementation Guide, which are outlined in this paper. Results: The strategy and processes implemented within the project can deliver the needed resources both to the central FHIR terminology service, but also to the local data integration centers, in a transparent and consistent fashion. The service currently provides approximately 7000 resources to users via the standardized FHIR API. Conclusion: The professionalized distribution and maintenance of these terminological resources and the provision of a powerful TS implementation aids both the development of the Core Data Set and the data integration centers, and ultimately biomedical researchers requesting access to this rich data.

OriginalspracheEnglisch
TitelVolume 331: German Medical Data Sciences 2025: GMDS Illuminates Health
Seitenumfang9
Erscheinungsdatum03.09.2025
Seiten195-203
PublikationsstatusVeröffentlicht - 03.09.2025

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Fingerprint

Untersuchen Sie die Forschungsthemen von „Implementation of HL7 FHIR-Based Terminology Services for a National Federated Health Research Infrastructure“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren