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.

PurposeQuantifying the performance level of surgeons with digital virtual reality (VR) simulators can help ensure that quality requirements in healthcare are met. In order to better understand integration amongst quality principles, practices and technologies in the adoption and diffusion of VR simulators, the authors applied a technological innovation system (TIS) framework. The purpose of this study is to understand how the adoption and diffusion of VR surgical simulators in a Swedish healthcare context is influenced by various system factors.Design/methodology/approachIn this study, single-case holistic design based on innovation system theory was used to analyse the adoption of digital quality technologies related to surgical performance in Swedish hospitals. The case employs a mixed methods approach triangulating data longitudinally from published documents and expert interviews.FindingsAdoption of digital technologies regarding surgical performance is restricted by system factors relating to inconsistent normative and regulatory requirements for quantified performance criteria to judge surgical expertise. Addressing these systems' weaknesses with evidence-based training programmes can have a significant impact on the further development of the innovation system and can ultimately affect healthcare reliability and quality.Originality/valueThis paper explores quality management (QM) challenges in the context of digital transformation in healthcare. The paper attempts to fill the gap for TIS studies in a healthcare context and highlight the role of innovation function strength along the value chain and in relation to technology cycles to increase the understanding of adoption of digital technologies relating to surgical performance.

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