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

Data Science (357) Nursing in a Hospital Setting (132) Machine Learning (2076) Clinical Informatics (1325) Design of Processes and Workflows (187) Decision Support for Health Professionals (1539) Quality Improvement (294) Organizational Issues (221)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66667, first published .
Development of a Data-Based Method for Predicting Nursing Workload in an Acute Care Hospital: Methodological Study

Development of a Data-Based Method for Predicting Nursing Workload in an Acute Care Hospital: Methodological Study

Development of a Data-Based Method for Predicting Nursing Workload in an Acute Care Hospital: Methodological Study

Authors of this article:

Mark McMahon1, 2 Author Orcid Image ;   Sylvie Plate3 Author Orcid Image ;   Tobias Herz3 Author Orcid Image ;   Gabi Brenner3 Author Orcid Image ;   Michael Kleinknecht-Dolf3 Author Orcid Image ;   Michael Krauthammer1, 2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Mark McMahon   1, 2 , MSc ;   Sylvie Plate   3 , RN, MScN ;   Tobias Herz   3 , RN, BA ;   Gabi Brenner   3 , RN, MScOD ;   Michael Kleinknecht-Dolf   3 , RN, PhD ;   Michael Krauthammer   1, 2 , MD, PhD

1 Department of Quantitative Biomedicine, University of Zürich, Zürich, Switzerland

2 Biomedical Informatics DFL, University Hospital Zürich, Zürich, Switzerland

3 Directorate of Nursing and Allied Health Care Professionals, University Hospital Zürich, Zürich, Switzerland

Corresponding Author:

  • Michael Krauthammer, MD, PhD
  • Department of Quantitative Biomedicine
  • University of Zürich
  • Schmelzbergstrasse 26
  • Zürich 8006
  • Switzerland
  • Phone: 41 446356631
  • Email: michael.krauthammer@uzh.ch