Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach

This analysis shows that the adoption of AI health care technology innovations can be accelerated through targeted strategies and supportive mechanisms triggering virtuous cycles that facilitate clinical validation and generate compelling use cases. The interconnection between guidance of search and entrepreneurial experimentation has been confirmed, providing the initial conditions for knowledge development, diffusion, and legitimation in the early stages of emerging technologies.

Institutions

Publication Details

Journal
JMIR AI
Published
2025-10-12
DOI
https://doi.org/10.2196/60458
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.12
Controls
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article

Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach

1 citations
JMIR AI
Mental Health Research Topics
2.12
article

Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach

article en
1 citations

Abstract

This analysis shows that the adoption of AI health care technology innovations can be accelerated through targeted strategies and supportive mechanisms triggering virtuous cycles that facilitate clinical validation and generate compelling use cases. The interconnection between guidance of search and entrepreneurial experimentation has been confirmed, providing the initial conditions for knowledge development, diffusion, and legitimation in the early stages of emerging technologies.

JMIR AIVol. 5
University West (SE), Chalmers University of Technology (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Mental Health Research Topics
2.12
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Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach · JMIR AI (2025) | TGRS Research Map | TGRS