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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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Pubblicato in:Implement Sci
Autori principali: Rochefort, Christian M, Buckeridge, David L, Forster, Alan J
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2015
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Accesso online: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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