Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Time Efficiency

Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Time Efficiency

ABSTRACT BackgroundEmergency and acute medicine doctors require easily accessible evidence-based information to safely manage a wide range of clinical presentations. The inability to find evidence-based local guidelines on the trust’s intranet leads to information...

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Bibliographic Details
Main Authors: Hamza Ejaz, Hon Lung Keith Tsui, Mehul Patel, Luis Rafael Ulloa Paredes, Ellen Knights, Shah Bakht Aftab, Christian Peter Subbe
Format: Article
Language:English
Published: JMIR Publications 2025-02-01
Series:JMIR Human Factors
Online Access:https://humanfactors.jmir.org/2025/1/e52358

Internet

https://humanfactors.jmir.org/2025/1/e52358

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