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A decision framework model for hospital selection in COVID-19 pandemic: A FIS approach
Covid-19 has affected many countries resulting in the loss of many human lives. During the first and second waves of the pandemic, hospitals played a crucial role in saving human lives and hence became the last hope of survival for corona patients. Hence the hospital selection is a crucial decision...
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Published in: | International journal of healthcare management 2023-04, Vol.16 (2), p.231-245 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Covid-19 has affected many countries resulting in the loss of many human lives. During the first and second waves of the pandemic, hospitals played a crucial role in saving human lives and hence became the last hope of survival for corona patients. Hence the hospital selection is a crucial decision to be made by corona patients keeping the third wave of the pandemic in view. This work proposes a decision framework for hospital selection considering the essential criteria in the context of providing corona treatment to patients. The proposed framework is based on the Fuzzy Inference System (FIS) and utilizes rules framed by decision-makers for determining the Performance Index (PI) of hospitals. Based on the values of PI patients can select the hospital to which they can get admitted with assurance to get the best possible treatment. Further, the sensitivity analysis has been done to demonstrate the robustness of the framework. The results of the work also provide hospitals a deep insight into their performance and customers' perception of their performance, helping them to initiate appropriate enhancement measures. Six hospitals from central India have been considered as case hospitals to demonstrate the applicability of the proposed framework. |
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ISSN: | 2047-9700 2047-9719 |
DOI: | 10.1080/20479700.2022.2095839 |