Published on in Vol 27 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73540, first published .
Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Ahmad Idrissi-Yaghir   1, 2 * , MSc ;   Kamyar Arzideh   2, 3 * , MSc ;   Henning Schäfer   2, 4 , MSc ;   Bahadir Eryilmaz   2 , MSc ;   Mikel Bahn   2 , MSc ;   Yutong Wen   2 , MSc ;   Katarzyna Borys   1, 2 , MSc ;   Eva Hartmann   5 , MSc ;   Cynthia Schmidt   2, 4 , MD ;   Obioma Pelka   1, 2 , PhD ;   Johannes Haubold   1, 2 , MD ;   Christoph M Friedrich   6, 7 , PhD ;   Felix Nensa   1, 2 , MD ;   René Hosch   1, 2 * , PhD

1 Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany

2 Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany

3 Department of Central IT, Data Integration Center, University Hospital Essen, Essen, Germany

4 Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany

5 Department of Pulmonary Medicine, University Hospital Essen - Ruhrlandklinik, Essen, Germany

6 Department of Computer Science, University of Applied Sciences and Arts Dortmund, Dortmund, Germany

7 Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, Essen, Germany

*these authors contributed equally

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