Artificial intelligence (AI) healthcare technology innovations: the current state and challenges from a life science industry perspective

Journal article, 2023

The purpose of this study is to assess innovation system performance and identify the system-blocking mechanisms for AI healthcare technology innovations related to the life science industry. The socio-technical analytical framework Technological innovation systems (TIS) was used to assess the structural and functional dynamics of AI healthcare technology innovations related to the life science industry in West Sweden. The case study employs a mixed-method research approach, triangulating qualitative and quantitative data from secondary published sources and interviews with 21 experts and 25 life science business executives. The results reveal that innovation system performance is primarily restricted by the system weaknesses of limited resources and insufficient communication from leading healthcare professionals regarding their needs for improving healthcare using AI technology innovations. This study shows that to improve innovation system performance, policy interventions intended to increase available resources and to formulate vision and mission statements to improve healthcare with AI technology innovations may be encouraged. This study contributes to the understanding of the mechanisms and interdependencies between system functions using the socio-technical TIS framework in a healthcare context.