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Facets of the Evolving Healthcare Management Model

Facets of the Evolving Healthcare Management Model

Anastasius S. Moumtzoglou
Copyright: © 2022 |Pages: 19
ISBN13: 9781799891987|ISBN10: 1799891984|EISBN13: 9781799891994
DOI: 10.4018/978-1-7998-9198-7.ch018
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MLA

Moumtzoglou, Anastasius S. "Facets of the Evolving Healthcare Management Model." Quality of Healthcare in the Aftermath of the COVID-19 Pandemic, edited by Anastasius Moumtzoglou, IGI Global, 2022, pp. 303-321. https://doi.org/10.4018/978-1-7998-9198-7.ch018

APA

Moumtzoglou, A. S. (2022). Facets of the Evolving Healthcare Management Model. In A. Moumtzoglou (Ed.), Quality of Healthcare in the Aftermath of the COVID-19 Pandemic (pp. 303-321). IGI Global. https://doi.org/10.4018/978-1-7998-9198-7.ch018

Chicago

Moumtzoglou, Anastasius S. "Facets of the Evolving Healthcare Management Model." In Quality of Healthcare in the Aftermath of the COVID-19 Pandemic, edited by Anastasius Moumtzoglou, 303-321. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9198-7.ch018

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Abstract

The pandemic represents an opportunity to reimagine future healthcare and rethink healthcare management unbound by preconceived notions based on the following three main drivers that emerged during the pandemic. These include transformed business models, new care delivery models disrupted by ubiquitous data and technology, intelligent spaces, and digitally-enabled hospitality. In this context, it is imperative to reexamine all facets of healthcare management, considering that applying linear models to healthcare management has improved our understanding of their system structure and function. However, such models often fall short of explaining experimental results or predicting future abnormalities in complex nonlinear systems. Nonlinear models may better explain how the individual components collectively act and interact to produce a dynamic system in constant flux. They also assist in filling in some of the results which linear models do not adequately explain. Finally, chaos theory might provide new insights into standard as well as abnormal behavior within systems.

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