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Review
. 2021;11(3):445-469.
doi: 10.1007/s12553-021-00547-5. Epub 2021 Apr 10.

Healthcare scheduling in optimization context: a review

Zahraa A Abdalkareem  1   2 , Amiza Amir  1 , Mohammed Azmi Al-Betar  3   4 , Phaklen Ekhan  1 , Abdelaziz I Hammouri  5
Affiliations
Review

Healthcare scheduling in optimization context: a review

Zahraa A Abdalkareem et al. Health Technol (Berl). 2021.

Abstract

This paper offers a summary of the latest studies on healthcare scheduling problems including patients' admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients' admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

Keywords: Healthcare scheduling; Heurstic; Meta-heurstics; Metaheurstic; Nurse scheduling; Operating room scheduling; Operating theater; Patient admission scheduling; Patient to bed assignment; Physician scheduling; Surgery scheduling; Surgical scheduling.

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Conflict of interest statement

Conflict of InterestThe authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Number of covered article
Fig. 2
Fig. 2
Healthcare scheduling papers between 2010-2020
Fig. 3
Fig. 3
Example for PASP original version data set
See this image and copyright information in PMC

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