Strategic Governance of Artificial Intelligence–Enabled Clinical Algorithm Development: Formative Evaluation of the Semiautomatic Clinical Algorithm Development Framework

These preliminary findings suggest that the S-ACAD framework may offer a potential pathway for "active governance" in AI-assisted clinical content development. In this proof-of-concept case, the framework combined rapid AI-assisted drafting with continuous expert oversight and independent clinical review, suggesting the potential to reduce turnaround time while maintaining safety safeguards. However, these results are based on a single expert applying the workflow to a single clinical topic, and validation across multiple experts, topics, and institutional contexts is needed before generalizability can be established.

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Publication Details

Journal
JMIR Formative Research
Published
2026-03-12
DOI
https://doi.org/10.2196/90273
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Strategic Governance of Artificial Intelligence–Enabled Clinical Algorithm Development: Formative Evaluation of the Semiautomatic Clinical Algorithm Development Framework

Sang Hyun Ahn, Junhewk Kim
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
article

Strategic Governance of Artificial Intelligence–Enabled Clinical Algorithm Development: Formative Evaluation of the Semiautomatic Clinical Algorithm Development Framework

Sang Hyun Ahn, Junhewk Kim
article en

Abstract

These preliminary findings suggest that the S-ACAD framework may offer a potential pathway for "active governance" in AI-assisted clinical content development. In this proof-of-concept case, the framework combined rapid AI-assisted drafting with continuous expert oversight and independent clinical review, suggesting the potential to reduce turnaround time while maintaining safety safeguards. However, these results are based on a single expert applying the workflow to a single clinical topic, and validation across multiple experts, topics, and institutional contexts is needed before generalizability can be established.

JMIR Formative ResearchVol. 10
Yonsei University (KR), T-Mobile (United States) (US), Yonsei University Dental Hospital (KR), Center For Social Innovation (US), Dankook University Hospital (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
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