Accessibility settings

This paper is in the following e-collection/theme issue:

Scoping Review Protocols (549) Search Strategies and Retrieval for Systematic Reviews (37) Generative Language Models Including ChatGPT (1483) AI Language Models in Health Care (733) Responsible Health AI (220) AI Governance and Policy (63)

Published on in Vol 15 (2026)

This is a member publication of Witten/Herdecke University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93509, first published .
Microscope objective lens over petri dish with glowing network visualization

Methods of Evaluating Large Language Model–Based Health Care Applications Used by Nonprofessionals: Protocol for a Scoping Review

Methods of Evaluating Large Language Model–Based Health Care Applications Used by Nonprofessionals: Protocol for a Scoping Review

Authors of this article:

Maren Keuchel1, 2 Author Orcid Image ;   Pinar Bisgin2 Author Orcid Image ;   Tom Strube2 Author Orcid Image ;   Niklas Tschorn1, 2 Author Orcid Image ;   Leoni Weltermann2 Author Orcid Image ;   Sven Meister1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Maren Keuchel   1, 2 , MSc ;   Pinar Bisgin   2 , MSc ;   Tom Strube   2 , MSc ;   Niklas Tschorn   1, 2 , MSc ;   Leoni Weltermann   2 , BSc ;   Sven Meister   1, 2 , Prof Dr

1 Health Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, North Rhine-Westphalia, Germany

2 Department of Healthcare, Fraunhofer Institute for Software and Systems Engineering, Dortmund, North Rhine-Westphalia, Germany

Corresponding Author:

  • Maren Keuchel, MSc
  • Health Care Informatics, Faculty of Health
  • School of Medicine
  • Witten/Herdecke University
  • Pferdebachstrasse 11
  • Witten, North Rhine-Westphalia 58448
  • Germany
  • Phone: 49 231 97677 333
  • Email: maren.keuchel@uni-wh.de