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Managing AI-Enabled Uncertainty in Clinical AI Deployment: Mixed-Methods Study of Governance, Workflow, and Organizational Learning in an ICU Decision Support Pilot

2026-02-05

Abstract excerpt

<h4>Background</h4> Health care organizations are increasingly required to make strategic decisions about artificial intelligence (AI) systems before their clinical value, operational consequences, governance requirements, and workforce implications are fully known. Clinical AI pilots can reduce this uncertainty only if they generate management-relevant evidence beyond retrospective model performance, including e...

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Literature Corpus work
3ca6596d-125f-5bf1-b0c8-15bc9117f50c
DOI
10.64898/2026.02.04.26345355
Open publication

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