Rethinking information delivery: using a natural language processing application for point-of-care data discovery.
Objective: This paper examines the use of Semantic MEDLINE, a natural language processing application enhanced with a statistical algorithm known as Combo, as a potential decision support tool for clinicians. Semantic MEDLINE summarizes text in PubMed citations, transforming it into compact declarat...
| Publicado en: | Journal of the Medical Library Association Vol. 100; no. 2; pp. 113 - 121 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Apr2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104560303&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104560303 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Apr2012 vid: 100 iid: 2 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 104560303 74664711 10.3163/1536-5050.100.2.009 NLM22514507 PMC3324802 104560303 ppf: 113 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Rethinking information delivery: using a natural language processing application for point-of-care data discovery. aug: au: Workman, T. Elizabeth Stoddart, Joan M. affil: Postdoctoral Research Associate, Department of Biomedical Informatics, University of Utah, HSEB 5775, 26 South 2000 East, Salt Lake City, UT 84112 sug: subj: Semantics Medline Computerized Literature Searching Natural Language Processing Information Retrieval Methods Human Funding Source Algorithms Decision Support Systems, Clinical Information Needs Resource Databases, Health Programming Languages Website Development ab: Objective: This paper examines the use of Semantic MEDLINE, a natural language processing application enhanced with a statistical algorithm known as Combo, as a potential decision support tool for clinicians. Semantic MEDLINE summarizes text in PubMed citations, transforming it into compact declarations that are filtered according to a user's information need that can be displayed in a graphic interface. Integration of the Combo algorithm enables Semantic MEDLINE to deliver information salient to many diverse needs. Methods: The authors selected three disease topics and crafted PubMed search queries to retrieve citations addressing the prevention of these diseases. They then processed the citations with Semantic MEDLINE, with the Combo algorithm enhancement. To evaluate the results, they constructed a reference standard for each disease topic consisting of preventive interventions recommended by a commercial decision support tool. Results: Semantic MEDLINE with Combo produced an average recall of 79% in primary and secondary analyses, an average precision of 45%, and a final average F-score of 0.57. Conclusion: This new approach to point-of-care information delivery holds promise as a decision support tool for clinicians. Health sciences libraries could implement such technologies to deliver tailored information to their users. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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