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  • Title: Enhancing clinical problem lists through data mining and natural language processing.
    Author: Chen ES, Wright A, Maloney FL, Van Putten C, Paterno MD, Goldberg HS.
    Journal: AMIA Annu Symp Proc; 2008 Nov 06; ():901. PubMed ID: 18999076.
    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 Evidence and experience suggest, however, that problem lists are frequently out-of-date, sometimes omit clinically important problems, and contain uncoded entries.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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