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Real-time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality
BACKGROUND: Real-time automated continuous sampling of electronic medical record data may expeditiously identify patients at risk for death and enable prompt life-saving interventions. We hypothesized that a real-time electronic medical record-based alert could identify hospitalized patients at risk...
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| Gepubliceerd in: | Am J Med |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4916370/ https://ncbi.nlm.nih.gov/pubmed/27019043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.amjmed.2016.02.037 |
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