title: Nurse scheduling models: a state-of-the-art review.
abstract: Nursing salaries make up the largest single element in hospital costs. Thus, effective scheduling of nursing personnel is important in controlling health-care costs. Scheduling nurses in hospitals is a complex problem due to variability in demand and a variety of conflicting interests and objectives. This article reviews the models that have been developed for nurse scheduling, including heuristic-, optimization- and artificial intelligence-based models. The approaches and limitations of these models are discussed, and a direction for future research is identified.
authors: Oregon State University, Corvallis.
authors: D
authors: D
authors: Sitompul
authors: S U
authors: SU
authors: Randhawa
mesh_terms: D001185:Artificial Intelligence; D006801:Humans; D016294:Models, Nursing; D009741:Nursing Staff, Hospital / Q000600:supply & distribution*; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration*; D010562:Personnel Staffing and Scheduling Information Systems