Literature DB >> 1807580

A free-text processing system to capture physical findings: Canonical Phrase Identification System (CAPIS).

R Lin1, L Lenert, B Middleton, S Shiffman.   

Abstract

The task of gathering detailed patient information from free-text medical records presents a significant barrier to clinical research. In this paper, we describe a prototype system for extracting physical examination findings from dictated admission summaries. Our computer program applies a concept-based free-text processing algorithm that identifies user-selected target physical examination findings. We are using the extraction system to enrich an existing clinical database. The system was evaluated by comparing the physical examination findings extracted by our computer program with findings extracted by an independent investigator. Our prototype system was able to recall 92 percent (sensitivity) of the relevant physical findings, with a precision of 96 percent (positive predictive value).

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Mesh:

Year:  1991        PMID: 1807580      PMCID: PMC2247517     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  5 in total

1.  Automated analysis of the discharge summary.

Authors:  E R Gabrieli; D J Speth
Journal:  J Clin Comput       Date:  1986

2.  SAPHIRE--an information retrieval system featuring concept matching, automatic indexing, probabilistic retrieval, and hierarchical relationships.

Authors:  W R Hersh; R A Greenes
Journal:  Comput Biomed Res       Date:  1990-10

3.  Computerized extraction of coded findings from free-text radiologic reports. Work in progress.

Authors:  P J Haug; D L Ranum; P R Frederick
Journal:  Radiology       Date:  1990-02       Impact factor: 11.105

4.  Practical use of a free-text computer system in pathology.

Authors:  T C Sharpe
Journal:  Med Inform (Lond)       Date:  1986 Apr-Jun

5.  Automatic encoding of clinical narrative.

Authors:  N Sager; I D Bross; G Story; P Bastedo; E Marsh; D Shedd
Journal:  Comput Biol Med       Date:  1982       Impact factor: 4.589

  5 in total
  1 in total

1.  A general natural-language text processor for clinical radiology.

Authors:  C Friedman; P O Alderson; J H Austin; J J Cimino; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

  1 in total

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