Competitiveness of Regional Health Systems and Specific Medical Organizations in the Context of the Coronovirus Pandemic

¹ Saint Petersburg State University, Faculty of Economics, Department of Economics & Economic Policy, University embankment 7–9, 199034, St Petersburg, Russia
² Herzen State Pedagogical University, Institute of Economics and Management, Department of Industrial Economics and Finance, the Moika river emb., 48.St. Petersburg, Russia

^* Corresponding author: asad2009@yandex.ru

Abstract

Research background: As the experience of a number of countries whose health systems were considered effective has shown, the pandemic has caused multiple disruptions, system overloads, and in some cases complete collapse. The negative experience made us think about what characteristics of the system and each specific medical organization are determining, and which parameters contributed to the increase of problems in the system, and which ones ensured the ability of the medical cluster or organizations to successfully function in the complex conditions of the pandemic. Consequently, mechanisms for evaluating medical institutions and clusters that would be able to monitor the health system in a normal situation and monitor its readiness for peak loads are coming to the fore.

Purpose of the article: This article is intended to identify the key factors for ensuring the competitiveness of regional medical clusters and develop a methodology for assessing the level of competitiveness of institutions in the context of a pandemic.

Methods: The methodology of evaluation is built based on modified matrices of competitiveness based on the matrix of strategic mechanisms. Findings & Value added: The article analyses the successful strategic practices of medical market leaders for other players and maintaining the effectiveness of the healthcare system even during global pandemics. As the scientific increment can be considered the results of analysis of mechanisms for evaluating medical institutions and clusters that could monitor the health care system in a normal situation and monitor its readiness for peak loads.