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Scheduling and Routing of Dispatching Medical Staff to Homes Healthcare from Different Medical Centers with considering Fairness Policy

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  • Ali Ala
  • Alireza Goli
  • Mahdi Yousefi Nejad Attari
  • Vijay Kumar

Abstract

Home healthcare, a novel type of health treatment provided at residents’ homes for specific populations (elderly, disabled), is typically less expensive, more convenient, and efficient. The purpose of this article is to offer a paradigm for scheduling medical professionals from various medical institutes. With the need for home health care likely to expand significantly, future work is critical to lowering costs and ensuring service quality. The high expense of hiring nurses and doctors in this home health system (HHS) necessitates optimization approaches. To handle choice difficulties, we present a new algorithm that generates numerous scenarios, including current nurse schedules, the new demand under discussion, and future requests generated by the system. By analyzing several real-life factors and a new algorithm that produces numerous situations involving nurses’ schedules to solve three problems, the model offered is integer number programming. The results indicate which center each nurse is dispatched from, and each nurse returns to the original routing point. Finally, average daily visits increase by roughly 20%, while daily travel times of each visit drop by 50%.

Suggested Citation

  • Ali Ala & Alireza Goli & Mahdi Yousefi Nejad Attari & Vijay Kumar, 2022. "Scheduling and Routing of Dispatching Medical Staff to Homes Healthcare from Different Medical Centers with considering Fairness Policy," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, March.
  • Handle: RePEc:hin:jnlmpe:3189574
    DOI: 10.1155/2022/3189574
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    Cited by:

    1. Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.

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