Outpatient Scheduling in Highly Constrained Environments: A Literature Review

Xiao-dan Wu (), Mohammad T. Khasawneh (), Juan Hao () and Zhan-ting Gao ()
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Xiao-dan Wu: Heibei University of Technology
Mohammad T. Khasawneh: State University of New York at Binghamton
Juan Hao: Heibei University of Technology
Zhan-ting Gao: Heibei University of Technology

Chapter Chapter 127 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1203-1213 from Springer

Abstract: Abstract This paper provides a comprehensive survey of research on scheduling in outpatient services. An effective scheduling system has the goal of matching demand with capacity so that resources are better utilized, especially in highly constrained environments. This paper presents a general problem formulation and modeling considerations. It also provides taxonomy of methodologies used in the literature. The current literature fails to develop general guidelines that can be applied to design outpatient scheduling systems. Therefore, we identify future research directions that provide opportunities to expand the existing knowledge and close the gap between theory and practice. Our paper presents a literature review about four primary aspects: allocation of outpatient resources (R), outpatient appointment model (A), patient preferences (P), and research methodology for outpatient scheduling (M) under highly constrained environments. The models presented are focused on three outpatient appointment models (i.e., the traditional model, carve-out model, and advanced access model).

Keywords: Allocation of outpatient resources; Highly constrained environments; Outpatient appointment model; Outpatient scheduling research methodology; Patient preferences (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_127

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DOI: 10.1007/978-3-642-38391-5_127

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