Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review

Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review

Abstract The accurate extraction of surgical data from electronic health records (EHRs), particularly operative notes through manual chart review (MCR), is complex, crucial, and time-intensive, limited by human error due to fatigue and the level of training. This study aimed to develop and validate...

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Bibliographic Details
Main Authors: Mert Marcel Dagli, Yohannes Ghenbot, Hasan S. Ahmad, Daksh Chauhan, Ryan Turlip, Patrick Wang, William C. Welch, Ali K. Ozturk, Jang W Yoon
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Humans
Artificial intelligence
Data science
Electronic health records
Natural language processing
Quality improvement
Online Access:https://doi.org/10.1038/s41598-024-77535-y
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https://doi.org/10.1038/s41598-024-77535-y

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