Nurse scheduling models: a state-of-the-art review.
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.
Sitompul
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Oregon State University, Corvallis.
Randhawa
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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