https://doi.org/10.7490/f1000research.1120027.1
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Shieh L, Jeong Y, Smith M et al. Using AI for Detecting Clinical Deterioration: Insights and Responses from the Care Team [version 1; not peer reviewed]. F1000Research 2024, 13:1440 (poster) (https://doi.org/10.7490/f1000research.1120027.1)
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Using AI for Detecting Clinical Deterioration: Insights and Responses from the Care Team

Lisa Shieh1, Yejin Jeong, Margaret Smith, Robert Gallo, Jerri Westphal, Aubrey Florom-Smith, Lisa Knowlton, Steven Lin
Author Affiliations
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Published 28 Nov 2024

Using AI for Detecting Clinical Deterioration: Insights and Responses from the Care Team

[version 1; not peer reviewed]

Lisa Shieh1, Yejin Jeong, Margaret Smith, Robert Gallo, Jerri Westphal, Aubrey Florom-Smith, Lisa Knowlton, Steven Lin
Author Affiliations
1 Medicine, Stanford University School of Medicine, Stanford, California, USA
Presented at
North American Primary Care Research Group Annual Meeting, 2024
Abstract
Competing Interests

No competing interests were disclosed

Keywords
AI clinical pathway, clinical deterioration, team engagement
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