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AHRQ Research Studies
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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 2 of 2 Research Studies DisplayedNguyen OK, Makam AN, Clark C
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
The purpose of this study was to develop an all-cause readmissions risk-prediction model incorporating electronic health record (EHR) data from the full hospital stay, and to compare "full-stay" model performance to a "first day" and 2 other validated models. It found that incorporating clinically granular EHR data from the full hospital stay modestly improves prediction of 30-day readmissions.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Makam AN, Clark C .
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
J Hosp Med 2016 Jul;11(7):473-80. doi: 10.1002/jhm.2568.
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Keywords: Electronic Health Records (EHRs), Hospital Readmissions, Hospitalization, Risk
Woollen J, Prey J, Wilcox L
Patient experiences using an inpatient personal health record.
Researchers investigated post-operative cardiac surgical patients' experience using an inpatient personal health record (PHR) on a tablet computer to increase engagement in their hospital care. They found that patients reported high satisfaction with being able to view their hospital medications and access educational materials related to their medical conditions. Patients also reported a desire to view daily progress reports about their hospital stay.
AHRQ-funded; HS021816.
Citation: Woollen J, Prey J, Wilcox L .
Patient experiences using an inpatient personal health record.
Appl Clin Inform 2016 Jun 1;7(2):446-60. doi: 10.4338/aci-2015-10-ra-0130.
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Keywords: Cardiovascular Conditions, Electronic Health Records (EHRs), Hospitalization, Patient Experience, Patient Experience