Challenges and Opportunities of Healthcare Service Management in the Post-COVID-19 World

A special issue of World (ISSN 2673-4060).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 992

Special Issue Editors


E-Mail Website
Guest Editor
Department of Emergency Aid and Disaster Management, Munzur University, Tunceli 62000, Turkey
Interests: decision making; healthcare; occupational health and safety; fuzzy sets and systems; occupational risk assessment

E-Mail Website
Guest Editor
Department of Emergency Aid and Disaster Management, Munzur University, Tunceli 62000, Turkey
Interests: multi-criteria decision making; mathematical programming; health system management; disaster science; fuzzy sets; occupational health and safety

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Guest Editor
Department of Transportation and Logistics, Istanbul University, Istanbul 34322, Turkey
Interests: multi-criteria decision making; fuzzy setsas; sembly line balancing; humanitarian logistics; customer satisfaction

Special Issue Information

Dear Colleagues,

Healthcare stakeholders worldwide are facing various challenges in improving the effective use and quality of healthcare service delivery, due to the recent COVID-19 outbreak. This situation presents some challenges and, of course, opportunities for healthcare stakeholders in the post-COVID-19 world. However, managing healthcare in the post-COVID-19 environment necessitates a trend that will include developing novel methodologies and practices in order to improve the quality of healthcare provided, reduce costs, and make people more prosperous. Various quantitative and mathematical methods offered by management science can be used to model and solve complex real-world problems in this new post-COVID-19 world. Simultaneously, data science and analytics will be one of the guiding instruments for researchers in this sense.

The management of health services is a broad field that includes managing various components, such as hospitals and their critical sub-units (emergency service, inpatient unit, intensive care unit, polyclinic, laboratories, operating room, etc.), home health, public health, and telemedicine. This Special Issue, in which the challenges and opportunities that will arise in the post-COVID-19 scene, discussed from the perspective of management and data science, aims to unite researchers and practitioners from this field of research.

This Special Issue aims to gather the methods, approaches, models and practices developed to consider the challenges and opportunities that will arise in healthcare management in the post-COVID-19 world, including, but not limited to, the following topics:

  • Mathematical modelling and optimization in healthcare service management;
  • Simulation modelling in healthcare service management;
  • Fuzzy set and expert sytems in healthcare service management;
  • Computational intelligence and soft computing in healthcare service management;
  • Data and decision analytics in healthcare service management;
  • Multi-criteria decision analysis in healthcare service management;
  • Internet of Things, Healthcare 4.0;
  • Machine learning and data maining in healthcare service management;
  • Forecasting in healthcare service management;
  • Project management in healthcare services;
  • Quality and process management in healthcare services;
  • Supply chain, logistics and inventory management in healthcare services;
  • Financial management in healthcare services;
  • Human resource management and staffing in healthcare services;
  • Facility layout and facility location in healthcare service management;
  • Resource allocation in healthcare service management;
  • Capacity management and queuing theory in healthcare services;
  • Emergency and disaster management in healthcare services.

Dr. Muhammet Gul
Dr. Melih Yucesan
Dr. Erkan Celik
Guest Editors

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Keywords

  • post-COVID-19 world
  • healthcare service management
  • management science
  • data and decision analytics
  • modeling, simulation and optimization
  • emergency care
  • home health care
  • public health
  • telemedicine

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Published Papers

There is no accepted submissions to this special issue at this moment.
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