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Article

Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)

1
School of Economics and Management, Tongji University, Shanghai 200092, China
2
International Business School, Shaanxi Normal University, Xi’an 710062, China
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(16), 3520; https://doi.org/10.3390/math11163520
Submission received: 22 June 2023 / Revised: 8 July 2023 / Accepted: 10 July 2023 / Published: 15 August 2023

Abstract

Health services research aims to improve population health by studying the organization, delivery, and financing of healthcare services. While the field has made progress in defining its boundaries and core research topics, our literature survey revealed a lack of attention given to the management, cost, and policy aspects of healthcare systems (SCs). Moreover, the readiness of the system to handle supply policy and device deficiencies, especially during the pandemic, was rarely mentioned. Unplanned urban growth, characterized by reduced open spaces, deteriorating infrastructure, and changes in biological morphology, has led to an uneven distribution of urban amenities, facilities, and healthcare services. This research proposes two reliable models for site selection in a major hospital in Hong Kong, considering uncertainty levels, infeasibility tolerance, and reliability. We examine two categories of uncertainty—symmetric and bounded—and provide a solution with a nominal objective function value of 121.37. By considering 23 uncertain parameters with specific tolerance levels, we extend the processing time of uncertain tasks to ensure feasibility. However, the objective function value decreases due to violations of intermediate due-dates and decreased overall production. A comparative analysis is presented to evaluate the solution and address scheduling challenges under uncertainty using a specified probability distribution function. The study concludes by introducing justice and health problems, outlining four typical strategies, and emphasizing the importance of the effective management of systems, components, and procedures for the production, distribution, and administration of medications and healthcare supplies. This research contributes to fairness in health systems and population health at local, national, and global levels, addressing health inequity and promoting public dialogues on the subject.
Keywords: post-COVID-19 pandemic era; health services research (health serv. res.); health economics; site selection; health and social policy evaluation; health disparities/inequalities and ethics; mixed-integer linear programming (MLIP); integer linear programming (ILP) post-COVID-19 pandemic era; health services research (health serv. res.); health economics; site selection; health and social policy evaluation; health disparities/inequalities and ethics; mixed-integer linear programming (MLIP); integer linear programming (ILP)

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MDPI and ACS Style

Heydari, M.; Lai, K.K. Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice). Mathematics 2023, 11, 3520. https://doi.org/10.3390/math11163520

AMA Style

Heydari M, Lai KK. Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice). Mathematics. 2023; 11(16):3520. https://doi.org/10.3390/math11163520

Chicago/Turabian Style

Heydari, Mohammad, and Kin Keung Lai. 2023. "Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)" Mathematics 11, no. 16: 3520. https://doi.org/10.3390/math11163520

APA Style

Heydari, M., & Lai, K. K. (2023). Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice). Mathematics, 11(16), 3520. https://doi.org/10.3390/math11163520

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