Article
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Prioritization of Scheduled Surgeries Using Fuzzy Decision Support and Risk Assessment Methods
Version 1
: Received: 14 November 2023 / Approved: 15 November 2023 / Online: 16 November 2023 (03:58:09 CET)
A peer-reviewed article of this Preprint also exists.
Fabisiak, L. Prioritization of Scheduled Surgeries Using Fuzzy Decision Support and Risk Assessment Methods. Electronics 2024, 13, 90. Fabisiak, L. Prioritization of Scheduled Surgeries Using Fuzzy Decision Support and Risk Assessment Methods. Electronics 2024, 13, 90.
Abstract
This paper proposes a model that combines multi-criteria and multi-faceted risk assessment. Using two data sources, a fuzzy Technique for Order of Preference by Similarity to Ideal Solution FTOPSIS method combined with FMEA assessment. The FMEA method presented in this paper combines the technique of prioritising preferences according to FTOPSIS similarity to the ideal solution and conviction structure to overcome the defects of traditional FMEA indicators. The paper describes the exact process and tool selection, and the results obtained in the study verified accurate data. Finally, a numerical case study was presented on hospital reorganization services and case adaptation to prioritize surgical abandonment in Poland. The problem considered in the publication is the priority of patients’ operations in hospitals. The selection of relevant criteria, their importance and patient preferences are presented. The results obtained from the method provide a viable action plan for the proposed research problem. The proposed method is multi-faceted and can be part of an information system supporting reorganization, restructuring, and modification of the operational process.
Keywords
surgical management; safety analysis; support Decision; FMEA; FTOPSIS
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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