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

Author

Listed:
  • Mohammad Heydari

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Kin Keung Lai

    (International Business School, Shaanxi Normal University, Xi’an 710062, China)

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.

Suggested Citation

  • Mohammad Heydari & Kin Keung Lai, 2023. "Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:16:p:3520-:d:1217514
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    References listed on IDEAS

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    1. Vivek Kumar Prasad & Pronaya Bhattacharya & Darshil Maru & Sudeep Tanwar & Ashwin Verma & Arunendra Singh & Amod Kumar Tiwari & Ravi Sharma & Ahmed Alkhayyat & Florin-Emilian Țurcanu & Maria Simona Ra, 2022. "Federated Learning for the Internet-of-Medical-Things: A Survey," Mathematics, MDPI, vol. 11(1), pages 1-47, December.
    2. Li Wei & Ming-Chih Lee & Wan-Hsiu Cheng & Chia-Hsien Tang & Jing-Wun You, 2023. "Evaluating the Efficiency of Financial Assets as Hedges against Bitcoin Risk during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(13), pages 1-19, June.
    3. Eddy van Doorslaer & Cristina Masseria, 2004. "Income-Related Inequality in the Use of Medical Care in 21 OECD Countries," OECD Health Working Papers 14, OECD Publishing.
    4. Christodoulos Floudas & Xiaoxia Lin, 2005. "Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications," Annals of Operations Research, Springer, vol. 139(1), pages 131-162, October.
    5. Mohammad Heydari & Kin Keung Lai & Victor Shi & Feng Xiao, 2023. "Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    6. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    7. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    8. Mohammad Heydari & Kin Keung Lai & Xiaohu Zhou, 2020. "Creating Sustainable Order Fulfillment Processes through Managing the Risk: Evidence from the Disposable Products Industry," Sustainability, MDPI, vol. 12(7), pages 1-32, April.
    9. Răzvan-Andrei Corboș & Ovidiu-Iulian Bunea & Daniel-Constantin Jiroveanu, 2023. "The Effects of Strategic Procurement 4.0 Performance on Organizational Competitiveness in the Circular Economy," Logistics, MDPI, vol. 7(1), pages 1-17, February.
    10. Mohammad Heydari & Kin Keung Lai, 2020. "A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-19, May.
    11. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    12. Mohammad Heydari & Kin Keung Lai & Yanan Fan & Xiaoyang Li, 2022. "A Review of Emergency and Disaster Management in the Process of Healthcare Operation Management for Improving Hospital Surgical Intake Capacity," Mathematics, MDPI, vol. 10(15), pages 1-34, August.
    13. John M. Mulvey & Robert J. Vanderbei & Stavros A. Zenios, 1995. "Robust Optimization of Large-Scale Systems," Operations Research, INFORMS, vol. 43(2), pages 264-281, April.
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