title: Using patient data to retrieve health knowledge.
abstract: BACKGROUND
  We sought to study a variety of terminologic approaches to the use of clinical data for searching on-line information resources.
  
  
  METHODS
  We used a collection of narrative text and coded data to search a variety of text-based, concept-based, and concept-indexed resources.
  
  
  RESULTS
  Automated retrievals using original terms could be accomplished and technically produced ample results. However, quality of the results varied with the resource. Terminology translations were difficult to accomplish and produced variable results.
  
  
  CONCLUSIONS
  Current resources support automated retrieval; however, achieving quality results varies with the terms and the resources, with term translation productive only in select situations.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, New York, USA.
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
authors.forename: Mark
authors.initials: M
authors.lastname: Meyer
authors.forename: Nam-Ju
authors.initials: NJ
authors.lastname: Lee
authors.forename: Suzanne
authors.initials: S
authors.lastname: Bakken
mesh_terms: D000043:Abstracting and Indexing; D019992:Databases as Topic; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008491:Medical Informatics Applications; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D009626:Terminology as Topic; D018875:Vocabulary, Controlled