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

Development of Instruments and Surveys (104) Digital Health Reporting Standards, Quality and Transparency in e-Research (132) Methods and Instruments in Medical Informatics (189) Natural Language Processing (917) AI Language Models in Health Care (202) Research Instruments, Questionnaires, and Tools (738)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76776, first published .
Improving the Reporting Quality of Studies on Information Extraction From Clinical Texts: Protocol for the Development of a Consensus-Based Reporting Guideline

Improving the Reporting Quality of Studies on Information Extraction From Clinical Texts: Protocol for the Development of a Consensus-Based Reporting Guideline

Improving the Reporting Quality of Studies on Information Extraction From Clinical Texts: Protocol for the Development of a Consensus-Based Reporting Guideline

Authors of this article:

Daniel Reichenpfader1, 2 Author Orcid Image ;   Henning Müller3, 4 Author Orcid Image ;   Kerstin Denecke1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Daniel Reichenpfader   1, 2 , MSc ;   Henning Müller   3, 4 , Prof Dr ;   Kerstin Denecke   1 , Prof Dr

1 Institute for Patient-Centered Digital Health, Department of Engineering and Computer Science, Bern University of Applied Sciences, Biel, Switzerland

2 PhD School of Life Sciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland

3 Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland

4 Informatics Institute, HES-SO Valais-Wallis, Sierre, Switzerland

Corresponding Author:

  • Daniel Reichenpfader, MSc
  • Institute for Patient-Centered Digital Health, Department of Engineering and Computer Science
  • Bern University of Applied Sciences
  • Quellgasse 21
  • Biel 2502
  • Switzerland
  • Phone: 41 31 848 60 93
  • Email: daniel.reichenpfader@bfh.ch