Enhancing clinical problem lists through data mining and natural language processing
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Updated: Jun 28, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Elizabeth S Chen1, Adam Wright, Francine L Maloney
1Clinical Informatics Research & Development, Partners HealthCare System, Wellesley, MA, USA.
Abstract:
The availability of timely, accurate, comprehensive, and coded clinical problem lists is essential for supporting a range of healthcare activities. Evidence and experience suggest, however, that problem lists are frequently out-of-date, sometimes omit clinically important problems, and contain uncoded entries. Here, we describe a study being performed at Partners HealthCare System to explore automated techniques for enhancing existing problem lists.
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