The utilization of artificial intelligence in life science research and healthcare delivery

Abstract

The goal of this research is to evaluate the effectiveness of the system for innovation and identify the reasons that prevent Artificial intelligence (AI) healthcare technology advancements connected to the life sciences sector from being implemented. To evaluate the structural and efficient dynamics of AI healthcare technology advances associated with the life science business in West Sweden, the socio-technical analytical framework of Technological innovation systems (TIS) was employed. Using a mixed-methods research methodology, the case study triangulates qualitative and quantitative information since subordinate distributed sources and discussions with twenty-one experts and twenty-five life science industry leaders. According to the findings, the functioning of the innovation system is largely constrained by its limitations, which include a lack of resources and inadequate statements from top healthcare experts about their requirements for advancing healthcare via the use of AI technological advances. This research demonstrates that to enhance the performance of the innovation system, governmental interventions aimed at expanding the pool of resources as well as creating vision and purpose statements for the advancement of healthcare via AI technology breakthroughs may be promoted. By using the socio-technical TIS paradigm in a hospital setting, this research advances our knowledge of the processes and interdependencies across system works

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