Mobile clinics: Medical service strategy for disaster healthcare response operation

Author:

Maghfiroh MeilindaORCID,Hanaoka ShinyaORCID

Abstract

Purpose: Disrupted healthcare facilities due to disasters leave the affected communities without access to sufficient health care. This study proposed the use of mobile health clinics to address the issues faced by medical service providers during disaster response.Design/methodology/approach: A mobile health clinic a mobile facility that performs health care services from a stationary location. The model was developed as a healthcare response strategy, considering demand uncertainties due to the nature of the disaster. Therefore, this study objective is to simultaneously generate the mobile health clinic route and schedule and determine how each mobile health clinic covers patient demands within a pre-specified time horizon. The stochastic model is presented because the disaster's impact varies according to its scale.Findings: An investigation of the medical shelter effect in locations with high number of displaced people and the routing of mobile clinics for several shelter locations with a small number of people show that a hybrid strategy comprising a medical shelter and a mobile health clinic is the best option. Mobile health clinics can serve many locations within an appropriate walking distance. It can also route them to other locations when the time constraint allows. With a high number of people located in a shelter, building a medical shelter provides a better service.Originality/value: This study proposed mobile health clinics as a medical service strategy during disaster response to address the challenges faced by communities during a disaster response. The idea of mobile health clinics (MHC) is to improve communities’ access to healthcare services.

Publisher

Omnia Publisher SL

Subject

Industrial and Manufacturing Engineering,Strategy and Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review on Drones Integration in the Disaster Relief Operation;2023 2nd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2023-06-23

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