Shadow AI and the Limits of Institutional Agility

Unlabelled: Physicians are adopting generative AI tools faster than health systems can evaluate them. This commentary on the empirical report of "Shadow AI" drivers by Petersson and colleagues argues that governing Shadow AI requires health systems to pair institutional speed with transparent, stakeholder-engaged governance.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-10-14
DOI
https://doi.org/10.2196/112827
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Shadow AI and the Limits of Institutional Agility

Benjamin M. Rader, John S. Brownstein
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Shadow AI and the Limits of Institutional Agility

Benjamin M. Rader, John S. Brownstein
article en

Abstract

Unlabelled: Physicians are adopting generative AI tools faster than health systems can evaluate them. This commentary on the empirical report of "Shadow AI" drivers by Petersson and colleagues argues that governing Shadow AI requires health systems to pair institutional speed with transparent, stakeholder-engaged governance.

Journal of Medical Internet ResearchVol. 28
Boston Children's Hospital (US), Harvard University (US)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
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