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

Journal article

Fast facts

  • Further publishers

    Master of Science Ahmad Idrissi-Yaghir, Kamyar Arzideh, Bahadir Eryilmaz, Mikel Bahn, Yutong Wen, Katarzyna Borys, Master of Science Eva Maria Hartmann, Cynthia Schmidt, Obioma Pelka, Johannes Haubold, Felix Nensa, René Hosch

  • Publishment

    • JMIR Publications Inc. (null) 2025
  • Purpose of publication

  • Organizational unit

  • Subjects

    • Applied computer science
    • Health sciences in general
  • Research structures

    • Medical Informatics (MI)
  • Research fields

    • Information systems
    • Artificial intelligence and big data
    • Life and well-being - General

Quote

A. Idrissi-Yaghir, K. Arzideh, H. Schäfer, B. Eryilmaz, M. Bahn, Y. Wen, K. Borys, E. Hartmann, C. Schmidt, O. Pelka, J. Haubold, C. M. Friedrich, F. Nensa, and R. Hosch, "Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis," Journal of Medical Internet Research, vol. 27, p. e73540, 2025.

References

DOI 10.2196/73540

Notes and references

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