Abstract
This paper describes a model for automated information retrieval in which questions posed by clinical users are analyzed to establish common syntactic and semantic patterns. The patterns are used to develop a set of general-purpose questions called generic queries. These generic queries are used in responding to specific clinical information needs. Users select generic queries in one of two ways. The user may type in questions, which are then analyzed, using natural language processing techniques, to identify the most relevant generic query; or the user may indicate patient data of interest and then pick one of several potentially relevant questions. Once the query and medical concepts have been determined, an information source is selected automatically, a retrieval strategy is composed and executed, and the results are sorted and filtered for presentation to the user. This work makes extensive use of the National Library of Medicine's Unified Medical Language System (UMLS): medical concepts are derived from the Metathesaurus, medical queries are based on semantic relations drawn from the UMLS Semantic Network, and automated source selection makes use of the Information Sources Map. The paper describes research currently under way to implement this model and reports on experience and results to date.
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Selected References
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- Covell D. G., Uman G. C., Manning P. R. Information needs in office practice: are they being met? Ann Intern Med. 1985 Oct;103(4):596–599. doi: 10.7326/0003-4819-103-4-596. [DOI] [PubMed] [Google Scholar]
- Florance V. Medical knowledge for clinical problem solving: a structural analysis of clinical questions. Bull Med Libr Assoc. 1992 Apr;80(2):140–149. [PMC free article] [PubMed] [Google Scholar]
- Haynes R. B., McKibbon K. A., Walker C. J., Ryan N., Fitzgerald D., Ramsden M. F. Online access to MEDLINE in clinical settings. A study of use and usefulness. Ann Intern Med. 1990 Jan 1;112(1):78–84. doi: 10.7326/0003-4819-112-1-78. [DOI] [PubMed] [Google Scholar]
- Haynes R. B., Mulrow C. D., Huth E. J., Altman D. G., Gardner M. J. More informative abstracts revisited. Ann Intern Med. 1990 Jul 1;113(1):69–76. doi: 10.7326/0003-4819-113-1-69. [DOI] [PubMed] [Google Scholar]
- Hendrickson G., Anderson R. K., Clayton P. D., Cimino J., Hripcsak G. M., Johnson S. B., McCormack M., Sengupta S., Shea S., Sideli R. The integrated academic information management system at Columbia-Presbyterian Medical Center. MD Comput. 1992 Jan-Feb;9(1):35–42. [PubMed] [Google Scholar]
- Hersh W. R., Greenes R. A. SAPHIRE--an information retrieval system featuring concept matching, automatic indexing, probabilistic retrieval, and hierarchical relationships. Comput Biomed Res. 1990 Oct;23(5):410–425. doi: 10.1016/0010-4809(90)90031-7. [DOI] [PubMed] [Google Scholar]
- Miller P. L., Paton J. A., Clyman J. I., Powsner S. M. Prototyping an institutional IAIMS/UMLS information environment for an academic medical center. Bull Med Libr Assoc. 1992 Jul;80(3):281–287. [PMC free article] [PubMed] [Google Scholar]
- Osheroff J. A., Forsythe D. E., Buchanan B. G., Bankowitz R. A., Blumenfeld B. H., Miller R. A. Physicians' information needs: analysis of questions posed during clinical teaching. Ann Intern Med. 1991 Apr 1;114(7):576–581. doi: 10.7326/0003-4819-114-7-576. [DOI] [PubMed] [Google Scholar]
- Timpka T., Ekström M., Bjurulf P. Information needs and information seeking behaviour in primary health care. Scand J Prim Health Care. 1989 Jun;7(2):105–109. doi: 10.3109/02813438909088656. [DOI] [PubMed] [Google Scholar]