Literature DB >> 14728472

Creating a note classification scheme for a multi-institutional electronic medical record.

Thomas H Payne1, Barak Gaster, Durline Mineer, Jim Mazurk, Nancy Dunnington, Jacquie Zehner, Bill Lober, Erik Van Eaton, Wayne McCormick.   

Abstract

How notes are categorized in an electronic medical record (EMR) influences how rapidly users can locate documents and enter new ones, whether algorithmic search for chart deficiencies is possible, and the ease of incorporating collections of existing notes. We balanced these competing needs when developing a note classification scheme for the Online Record of Clinical Activity (ORCA) electronic medical record at the University of Washington.

Mesh：

Year:  2003        PMID： 14728472      PMCID： PMC1480190     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  1 in total

1.  Derivation and evaluation of a document-naming nomenclature.

Authors:  S H Brown; M Lincoln; S Hardenbrook; O N Petukhova; S T Rosenbloom; P Carpenter; P Elkin
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497
  1 in total
  2 in total

1.  Evolution and use of a note classification scheme in an electronic medical record.

Authors:  Thomas H Payne; Robert Kalus; Jacquie Zehner
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques.

Authors:  Serguei V S Pakhomov; James D Buntrock; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497
  2 in total

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