National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Clinical Decision Support (CDS) (1)
- Electronic Health Records (EHRs) (4)
- (-) Health Information Technology (HIT) (4)
- Hospitalization (1)
- Hospital Readmissions (1)
- (-) Hospitals (4)
- Patient Safety (2)
- Prevention (1)
- Provider Performance (1)
- Quality Improvement (1)
- (-) Quality Indicators (QIs) (4)
- Quality Measures (2)
- Quality of Care (3)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedHolmgren AJ, Kuznetsova M, Classen D
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
The authors measured hospital performance, stratified by electronic health record (EHR) vendor, across 4 quality metrics. They found that no EHR vendor was associated with higher quality across all measures, and the 2 largest vendors were not associated with the highest scores. Only a small fraction of quality variation was explained by EHR vendor choice. They concluded that top performance on quality measures can be achieved with any EHR vendor, as much of quality performance is driven by the hospital and how it uses the EHR.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Kuznetsova M, Classen D .
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
J Am Med Inform Assoc 2021 Sep 18;28(10):2101-07. doi: 10.1093/jamia/ocab120..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Measures, Hospitals, Quality of Care, Provider Performance
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
Classen DC, Holmgren AJ, Co Z
National trends in the safety performance of electronic health record systems from 2009 to 2018.
This study examined trends in the safety performance of electronic health records (EHRs) in hospitals from 2009 to 2018. The Leapfrog Health IT Safety Measure test was administered by the Leapfrog Group from July 2018 to December 1, 2019. Overall mean performance scores increased from 53.9% in 2009 to 65.6% in 2018. Mean hospital scores for categories representing basic clinical decision support increased from 69.8% in 2009 to 85.6% in 2018. Advanced decision clinical support also increased from 29.5% in 2009 to 46.1%. These results showed great improvement, but there is still substantial safety risk in current hospital EHR systems.
AHRQ-funded; HS023696.
Citation: Classen DC, Holmgren AJ, Co Z .
National trends in the safety performance of electronic health record systems from 2009 to 2018.
JAMA Netw Open 2020 May;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Patient Safety, Quality Measures, Clinical Decision Support (CDS), Quality Indicators (QIs)
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)