| Creating an ontology for an antibiotic prescribing decision support system. | |
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MedLine Citation:
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PMID: 18998876 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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One of the most effective and immediate solutions to the growing antimicrobial resistance problem is to address the role of inappropriate prescribing. Ontologies can support judicious prescribing, but use of an ontology as part of a CDSS to support antibiotic therapeutic planning has not been fully explored. The proposed research project will create and evaluate an ontology for supporting a CDSS module that generates an antibiotic-mismatch alert to guide appropriate antibiotic prescribing. |
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Authors:
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Tiffani J Bright; E Yoko Furuya; Gilad J Kuperman; Suzanne Bakken |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2008-11-06 |
Journal Detail:
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Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: - ISSN: 1942-597X ISO Abbreviation: - Publication Date: 2008 |
Date Detail:
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Created Date: 2008-11-12 Completed Date: 2010-01-08 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 888 Citation Subset: IM |
Affiliation:
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Department of Biomedical Informatics, Columbia University, New York, NY, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Anti-Bacterial Agents
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adverse effects,
therapeutic use* Bacterial Infections / drug therapy* Decision Support Systems, Clinical / organization & administration* Drug Therapy, Computer-Assisted / methods* Electronic Prescribing* Humans Medication Errors / prevention & control* United States |
| Grant Support | |
ID/Acronym/Agency:
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T15 LM007079/LM/NLM NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Anti-Bacterial Agents |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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