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

Data Science (364) Nursing in a Hospital Setting (136) Machine Learning (2129) Clinical Informatics (1351) Design of Processes and Workflows (196) Decision Support for Health Professionals (1569) Quality Improvement (299) Organizational Issues (226)

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 (1) Tweetations (2) Metrics

Journals

  1. Cerela-Boltunova O, Millere I. A Six-Month Observational Study of Nursing Workload in 14 Latvian Intensive Care Units Using the Nursing Activities Score. Healthcare 2026;14(1):134 View