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Predicting Patients at Risk for Prolonged Hospital Stays
BACKGROUND: Patients with prolonged hospitalizations account for 14% of all hospital days in US hospitals. Predicting which medical patients are at risk for prolonged hospitalizations would allow early proactive management to reduce their length of stay. METHODS: Using the National Inpatient Sample,...
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| Gepubliceerd in: | Med Care |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7444462/ https://ncbi.nlm.nih.gov/pubmed/32826743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MLR.0000000000001345 |
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