Using patient data to retrieve health knowledge.
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.
Cimino
James J
JJ
Department of Biomedical Informatics, Columbia University, New York, New York, USA.
Meyer
Mark
M
Lee
Nam-Ju
NJ
Bakken
Suzanne
S
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