What question did this study set out to answer?

This study aims to evaluate the performance of innovation systems for AI healthcare technologies and identify barriers to progress.

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

View Full Paper

Ask AI

Bookmark

This study aims to evaluate the performance of innovation systems for AI healthcare technologies and identify barriers to progress.
Mixed-method research approach using qualitative and quantitative data.
Data collected from secondary sources and interviews with 21 experts and 25 business executives.
Applied the socio-technical framework of Technological Innovation Systems to analyze dynamics.
Innovation system performance is primarily restricted by limited resources (e.g., funding, staffing).
Insufficient communication from healthcare professionals about their needs hampers progress.
Suggests policy interventions to allocate more resources and develop clear visions for AI innovations.

No takes yet. Share an insight, caveat, or question.

Case study assesses AI healthcare technology innovation performance in life science, suggesting policy improvements for system weaknesses.

Apell et al. (2021) studied this question.

View Full Paper

Ask AI

Bookmark

Case study assesses AI healthcare technology innovation performance in life science, suggesting policy improvements for system weaknesses.