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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedMakam AN, Nguyen OK, Clark C
Predicting 30-day pneumonia readmissions using electronic health record data.
The objective of this study was to develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay"). The investigators concluded that EHR data collected from the entire hospitalization can accurately predict readmission risk among patients hospitalized for pneumonia. They suggest that this approach outperforms a first-day pneumonia-specific model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores.
AHRQ-funded; HS022418.
Citation: Makam AN, Nguyen OK, Clark C .
Predicting 30-day pneumonia readmissions using electronic health record data.
J Hosp Med 2017 Apr;12(4):209-16. doi: 10.12788/jhm.2711..
Keywords: Pneumonia, Hospital Readmissions, Hospitalization, Electronic Health Records (EHRs), Health Information Technology (HIT)