Literature DB >> 9357678

Puya: a method of attracting attention to relevant physical findings.

W D de Estrada1, S Murphy, G O Barnett.   

Abstract

Puya is a method that compares the physical exam in an electronic clinical note with a set of stereotypical physical exam sentences that have been previously classified as "normal". The note is then displayed in a web browser with normal findings clearly delineated. The list of stereotypical sentences comes from a set of physical findings found within extensive electronic medical record. This list is then screened to select only those that represent "normal" findings, a process that yields 96% total agreement among 4 clinicians surveyed. This final list of stereotypical "normal" sentences accounts for 64% of the clinical narrative text. Sentences in the clinical note that do not match sentences in the "normal" list are assumed to be "abnormal". Puya screened 98 clinical notes consisting of 610 individual sentences. Puya achieved a sensitivity of 100%, a specificity of 63%, a positive predictive value of 44% and a negative predictive value of 100%. This leads to an application that reduces informational noise.

Mesh:

Year:  1997        PMID: 9357678      PMCID: PMC2233598     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  5 in total

1.  Empirical, automated vocabulary discovery using large text corpora and advanced natural language processing tools.

Authors:  W R Hersh; E H Campbell; D A Evans; N D Brownlow
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

2.  Achieving automated narrative text interpretation using phrases in the electronic medical record.

Authors:  S N Murphy; G O Barnett
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

3.  Medical language processing with SGML display.

Authors:  N Sager; N T Nhàn; M Lyman; L J Tick
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

4.  Recognizing noun phrases in medical discharge summaries: an evaluation of two natural language parsers.

Authors:  K A Spackman; W R Hersh
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

Review 5.  Natural language processing and the representation of clinical data.

Authors:  N Sager; M Lyman; C Bucknall; N Nhan; L J Tick
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

  5 in total
  4 in total

1.  Ad hoc classification of radiology reports.

Authors:  D B Aronow; F Fangfang; W B Croft
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Medical text representations for inductive learning.

Authors:  A Wilcox; G Hripcsak
Journal:  Proc AMIA Symp       Date:  2000

3.  An electronic health record based on structured narrative.

Authors:  Stephen B Johnson; Suzanne Bakken; Daniel Dine; Sookyung Hyun; Eneida Mendonça; Frances Morrison; Tiffani Bright; Tielman Van Vleck; Jesse Wrenn; Peter Stetson
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

Review 4.  Automated methods for the summarization of electronic health records.

Authors:  Rimma Pivovarov; Noémie Elhadad
Journal:  J Am Med Inform Assoc       Date:  2015-04-15       Impact factor: 4.497

  4 in total

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