Innovative Ecosystem Model of Vaccine Lifecycle Management

Abstract

The COVID-19 pandemic has severely tested humanity, revealing the need to develop and improve the medical, economic, managerial, and IT components of vaccine management systems. The vaccine lifecycle includes vaccine research and development, production, distribution, and vaccination of the population. To manage this cycle effectively the proper organizational and IT support model of the interaction of vaccine lifecycle management stakeholders is needed—which are an innovation ecosystem and an appropriate virtual platform. A literature review has revealed the lack of methodological basis for the vaccine innovation ecosystem and virtual platform. This article is devoted to the development of a complex approach for the development of an innovation ecosystem based on vaccine lifecycle management and a virtual platform which provides the data exchange environment and IT support for the ecosystem stakeholders. The methodological foundation of the solution, developed in the article, is an enterprise architecture approach, CALS technologies, supply chain management and an open innovation philosophy. The results, presented in the article, are supposed to be a reference set of models for the creation of a vaccine innovation ecosystem, both during pandemics and periods of stable viral load.

Data-Driven Management of Vaccination and Its Consequences

“…In the future, it will be possible to develop the functionality of such a platform and integrate it with other IT solutions in health care, pharmaceutical industry, R&D systems, medical education, public procurement systems, etc. In previous works [3,4,37,38], the authors elaborated on the context in which vaccination should be viewed from a systems-cybernetics approach.…”

“…The top-level system for the process of vaccination and monitoring of its consequences is the entire life cycle of the vaccine. In implementing this stage of research, the authors relied on their previous results in this direction [3,4].…”

“…This framework speaks about the cycle of continuous improvement when working with the selected object: planning of activities, their implementation, collection and analysis of data during the implementation, development of corrective actions based on the analysis, and entering a new cycle with new inputs. Ilin et al have explored this issue in detail in their previous articles [3,4]. The life cycle proposed in Figure 1 involves the sequential execution of a series of steps.…”

“…The first two objectives are quite actively solved by governmental and medical authorities. The authors of this paper have also previously written about such solutions in their works [3,4]. The third of the listed objectives in the "development of a vaccination management system-integrated solution for collecting and analyzing data on vaccination outcomes" has received less attention in both the practice and research communities.…”

Analysing the performance of a health innovation ecosystem in the COVID-19 crisis: complexity and chaos theory perspective

“…In the field of the impact of complexity and chaos on the outcomes of healthcare innovation, such as the development and implementation of innovative technologies, treatments and healthcare delivery models, research has been conducted to examine the challenges and opportunities posed by complexity and chaos and how they influence the success or failure of healthcare innovation initiatives. The aim is to identify and evaluate the consequences of complex and chaotic environments and develop strategies to enhance innovation [ 23 – 25 ]. The following research area focusses on methods and approaches for managing complexity and chaos in healthcare innovation networks.…”