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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, Washington C, Clark CR
Man vs. machine: comparing physician vs. electronic health record-based model predictions for 30-day hospital readmissions.
Electronic health record (EHR)-based readmission risk prediction models can be automated in real-time but have modest discrimination and may be missing important readmission risk factors. Clinician predictions of readmissions may incorporate information unavailable in the EHR, but the comparative usefulness is unknown. In this study, the investigators sought to compare clinicians versus a validated EHR-based prediction model in predicting 30-day hospital readmissions.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Washington C, Clark CR .
Man vs. machine: comparing physician vs. electronic health record-based model predictions for 30-day hospital readmissions.
J Gen Intern Med 2021 Sep;36(9):2555-62. doi: 10.1007/s11606-020-06355-3..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions
Elysee G, Yu H, Herrin J
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
A study was conducted to determine if there is an association of health information technology (HIT) adoption and a decrease in 30-day hospital readmission rates. Data was used from the 2013 American Hospital Association IT survey which included non-federal U.S. acute care hospitals with self-reported capabilities. A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis. A one-point increase in the hospital adoption of patient engagement capability latent scores generally leads to a 0.086% decrease in risk-standardized readmission rates (RSRRs). However, computerized hospital discharge and information exchange among clinicians did not seem as beneficial.
AHRQ-funded; HS022882.
Citation: Elysee G, Yu H, Herrin J .
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
Medicine 2021 Feb 26;100(8):e24755. doi: 10.1097/md.0000000000024755..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality of Care