These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Nurse scheduling models: a state-of-the-art review.
    Author: Sitompul D, Randhawa SU.
    Journal: J Soc Health Syst; 1990; 2(1):62-72. PubMed ID: 2132334.
    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.
    [Abstract] [Full Text] [Related] [New Search]