Author(s): Sager N, Lyman M, Bucknall C, Nhan N, Tick LJ
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Abstract OBJECTIVE: Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance. DESIGN: The Linguistic String Project (LSP) system of New York University utilizes syntactic analysis, augmented by a sublanguage grammar and an information structure that are specific to the clinical narrative, to map free-text documents into a database for querying. MEASUREMENTS: Information precision (I-P) and information recall (I-R) were measured for queries for the presence of 13 asthma-health-care quality assurance criteria in a database generated from 59 discharge letters. RESULTS: I-P, using counts of major errors only, was 95.7\% for the 28-letter training set and 98.6\% for the 31-letter test set. I-R, using counts of major omissions only, was 93.9\% for the training set and 92.5\% for the test set.
This article was published in J Am Med Inform Assoc
and referenced in Journal of Health & Medical Informatics