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Development of an Ontology to Model Medical Errors, Information Needs, and the Clinical Communication Space
Medical errors are common, costly and often preventable. Work in understanding the proximal causes of medical errors demonstrates that systems failures predispose to adverse clinical events. Most of these systems failures are due to lack of appropriate information at the appropriate time during the...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
2002
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC419427/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M1235 |
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