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Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol
BACKGROUND: Adverse events are associated with significant morbidity, mortality and cost in hospitalized patients. Measuring adverse events is necessary for quality improvement, but current detection methods are inaccurate, untimely and expensive. The advent of electronic health records and the deve...
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| Publicado no: | Implement Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4296680/ https://ncbi.nlm.nih.gov/pubmed/25567422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13012-014-0197-6 |
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