Multi-Criteria Decision-Making Model for Elective Surgical Patient Prioritization in Non-Urgent Healthcare Service Setting

Proceedings of The 3rd World Conference on Engineering and Technology

Year: 2022

DOI:

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Multi-Criteria Decision-Making Model for Elective Surgical Patient Prioritization in Non-Urgent Healthcare Service Setting

Phongchai Jittamai, Sovann Toek, Wijai Boonyanusith

ABSTRACT: 

Elective surgery is an important procedure in which the patient can be scheduled in advance. A main challenge in scheduling elective surgical patients is to properly manage patient prioritization in order to   improve   overall   health   of   each   patient   before   surgery,   by   applying several biopsychosocial aspects in the decision process. Thus, this research aims to demonstrate a decision-making framework to support elective surgical patient prioritization, using Multi-Criteria Decision-Making (MCDM) method and scoring method for weighting associated criteria conducted from the literature. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) was applied to formulate the elective surgical patient prioritization model and develop a decision framework in the patient scheduling procedure. A case study was presented to illustrate numerical example of the framework based on the data in a non-urgent healthcare service setting. Results were presented to exemplify a consequence of the elective surgical patient prioritization framework in this study. The discussion is also provided based on the prospect of balancing patient satisfaction and medical resources utilization in advance in the healthcare service setting.

keywords: Patient Prioritization, Elective Surgery, Multi-Criteria Decision-Making (MCDM), Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS).