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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66667, first published .
Two nurses in blue scrubs reviewing a digital schedule on a computer screen.

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

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
  3. Wang L, Zi Y, Tong H, Hu X, Zhang Y, Wang N, Xie Q. Supportive care demands in digestive and respiratory malignancies: a hospital-based comparative study. Psycho-Oncologie 2026;20(5) View
  4. Morales L, Perez D, Soto V, Alvarez M, Diaz F. Federated Reinforcement Learning for Coordinated Bed Allocation and Nurse Staffing During Pandemic Surges. Journal of Artificial Intelligence for Healthcare Systems 2025;4(2) View
  5. Collier A. Documentation-Native and Workflow-Aware AI for Nursing Informatics: A Viewpoint and Translational Roadmap (Preprint). JMIR Nursing 2026 View