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

Data Science (397) Clinical Informatics (1456) Organizational Issues (239) Decision Support for Health Professionals (1659) Design of Processes and Workflows (217) Quality Improvement (310) Machine Learning (2260) Nursing in a Hospital Setting (142)

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 (2) 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
  2. Rahagia R, Zusana A.Sasarari , Yunita Kristina , Darmi Arda , Chanchal Kurup . Workload, Stress, and Patient Safety in Emergency Nursing Units: An Analytic Cross-Sectional Study. Jurnal Ilmiah Kesehatan Sandi Husada 2026;15(1):132 View