State of the art in physician scheduling

Erhard, Melanie and Schoenfelder, Jan and Fügener, Andreas and Brunner, Jens O. (2018) State of the art in physician scheduling. European Journal of Operational Research, 265 (1). pp. 1-18. ISSN 0377-2217

Full text not available from this repository.

Abstract

Over the last decades, hospitals have faced increasing financial pressure due to rising costs and changes in reimbursement policies. One of the reasons for this development is the rising number of qualified personnel required to handle the consistently growing demand for hospital services. In the U.S., on average more than 50% of hospital costs are workforce related. In order to reduce these expenses without sacrificing quality of care, a stream of research has focused on building more efficient personnel schedules for nurses and physicians. We provide the first review that focuses on quantitative methods for physician scheduling in hospitals. We describe the relevant characteristics of various investigated physician scheduling problems, such as the problem type, i.e. Staffing, Rostering or Re-planning problems, personnel qualification and experience, and the utilized shift types. Furthermore, we analyze the existing literature with respect to additional modeling features including fairness aspects and underlying demand patterns, as well as employed solution approaches and real life applications. In total, we review 68 relevant publications in the OR/MS field. We use our presented framework to categorize the existing approaches and highlight gaps in the literature to initiate future research activities.

Item Type:
Journal Article
Journal or Publication Title:
European Journal of Operational Research
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not fundednomodelling and simulationmanagement science and operations researchinformation systems and management ??
ID Code:
207813
Deposited By:
Deposited On:
27 Oct 2023 14:55
Refereed?:
Yes
Published?:
Published
Last Modified:
28 Nov 2023 10:37