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

Tools, Programs and Algorithms (385) Nursing (135) Design of Processes and Workflows (195) Advanced Data Analytics in eHealth (216) Secondary Use of Clinical Data for Research and Surveillance (479) Novel and Innovative Approaches to Care Involving Nurses (70) Nursing in a Hospital Setting (136) Clinical Informatics (1350)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71666, first published .
Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation

Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation

Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation

Authors of this article:

Paul Meredith1, 2 Author Orcid Image ;   Christina Saville1, 2 Author Orcid Image ;   Chiara Dall’Ora1, 2 Author Orcid Image ;   Tom Weeks3, 4 Author Orcid Image ;   Sue Wierzbicki3, 4 Author Orcid Image ;   Peter Griffiths1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Nwanosike E, Griffiths P, Dall’Ora C, Monks T, Pattison N, Yapa T, Saville C. ICU staffing and patient outcomes in English hospital Trusts: A longitudinal observational study examining ICU length of stay, re-admission and infection rates. Intensive and Critical Care Nursing 2026;94:104314 View