Analyzing the effective healthcare management model for a COVID-19 pandemic

Abstract

COVID-19's global pandemic created a situation in which healthcare resources such as diagnostic kits, medications, and basic healthcare infrastructure were in short supply throughout the period, resulting in a detrimental impact on the socio-economic system. In a pandemic crisis, standardized public healthcare models were lacking, spanning everything from hospitalized patient care to local resident healthcare management in terms of monitoring, assessment, diagnosis, and medicines. The goal of this exploratory and intervention-based study is to propose a COVID-19 Care Management Model that represents complete care for society, encompassing patients (with COVID-19 and other disorders) and healthy people, within an integrated framework of healthier management. Better COVID-19 preventive and care outcomes can be achieved by shifting policies toward technology-oriented models with well-aligned infrastructure. The planned development of technical healthcare models for prognosis and improved treatment outcomes that consider not only genomics, proteomics, nanotechnology, and materials science perspectives, but also the potential contribution of advanced digital technologies, is one of the best strategies for early diagnosis and infection control.