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

Development and Evaluation of Research Methods, Instruments and Tools (742) Organizational Issues (221) Artificial Intelligence (2110) Design of Processes and Workflows (186) Nursing in a Hospital Setting (131) Machine Learning (2066) Focus Groups and Qualitative Research for Human Factors Research (1213)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67747, first published .
Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study

Authors of this article:

Fabienne Josefine Renggli1 Author Orcid Image ;   Maisa Gerlach1 Author Orcid Image ;   Jannic Stefan Bieri1 Author Orcid Image ;   Christoph Golz1 Author Orcid Image ;   Murat Sariyar2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Sitters S, O'Callahan K, O'Callahan M, Petersen M, Clasper T, Sicely L. Evaluating the impact of artificial intelligence-driven self-rostering: A dual-site pilot in medical imaging. Radiography 2025;31(6):103150 View
  2. S. M, JR. S, S. S, Abirami . AI-Driven Dynamic Scheduling and Real-Time Notification System for Staff Optimization and Conflict Resolution. Journal of Ubiquitous Computing and Communication Technologies 2025;7(3):313 View
  3. Abbas A, Taha Yassen E. Crew Scheduling Problems: A Systematic Literature Review. IEEE Access 2025;13:190196 View