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Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

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Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care

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  • Katja Hoffmann - Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Germany
  • Yuan Peng - Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Germany
  • Tobias Schlosser - Junior Professorship of Media Computing, Chemnitz University of Technology, Chemnitz, Germany
  • Gabriel Stolze - Department of Ophthalmology, Klinikum Chemnitz gGmbH, Chemnitz, Germany
  • Holger Langner - Professorship of Media Informatics, University of Applied Sciences Mittweida, Mittweida, Germany
  • Marcel Susky - Research Group Digital Health, Faculty of Business and Economics, Technical University of Dresden, Dresden, Germany
  • Trixy Meyer - Junior Professorship of Media Computing, Chemnitz University of Technology, Chemnitz, Germany
  • Marc Ritter - Professorship of Media Informatics, University of Applied Sciences Mittweida, Mittweida, Germany
  • Danny Kowerko - Junior Professorship of Media Computing, Chemnitz University of Technology, Chemnitz, Germany
  • Vinodh Kakkassery - Department of Ophthalmology, Klinikum Chemnitz gGmbH, Chemnitz, Germany
  • Markus Wolfien - Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Germany; Center for Scalable Data Analytics and Artificial Intelligence, Dresden/Leipzig, Germany
  • Martin Sedlmayr - Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Germany

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 363

doi: 10.3205/24gmds049, urn:nbn:de:0183-24gmds0498

Published: September 6, 2024

© 2024 Hoffmann et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

Text

Seamless interoperability of ophthalmic clinical data is beneficial for improving patient care and advancing research through the integration of data from various sources. Such consolidation increases the amount of data available, leading to more robust statistical analyses, and improving the accuracy and reliability of artificial intelligence models. However, the lack of consistent, harmonized data formats and meanings (syntactic and semantic interoperability) poses a significant challenge in sharing ophthalmic data. The Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR), a standard for the exchange of healthcare data, emerges as a promising solution. To facilitate cross-site data exchange in research, the German Medical Informatics Initiative (MII) has developed a core data set (CDS) based on FHIR. This work investigates the suitability of the MII CDS specifications for exchanging ophthalmic clinical data necessary to train and validate a specific machine learning model designed for predicting visual acuity. In interdisciplinary collaborations, we identified and categorized the required ophthalmic clinical data and explored the possibility of its mapping to FHIR using the MII CDS specifications. We found that the current FHIR MII CDS specifications do not completely accommodate the ophthalmic clinical data we investigated, indicating that the creation of an extension module is essential.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.