National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Cardiovascular Conditions (1)
- Clinical Decision Support (CDS) (1)
- Electronic Health Records (EHRs) (3)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (3)
- Heart Disease and Health (1)
- Hospitals (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (1)
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- Primary Care: Models of Care (1)
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- (-) Quality Indicators (QIs) (3)
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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.
Results
1 to 3 of 3 Research Studies DisplayedClassen 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)
Knierim KE, Hall TL, Dickinson LM
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
The objective of this study was to determine how quickly primary care practices can report electronic clinical quality measures (eCQMs) and to identify the practice characteristics associated with faster reporting. Examining the EvidenceNOW Southwest initiative, the researchers’ results showed that the time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Additional support for practices to succeed in new programs that require eCQM reporting was recommended.
AHRQ-funded; HS023904.
Citation: Knierim KE, Hall TL, Dickinson LM .
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
JAMA Netw Open 2019 Aug 2;2(8):e198569. doi: 10.1001/jamanetworkopen.2019.8569..
Keywords: Primary Care, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT)
Shah T, Patel-Teague S, Kroupa L
Impact of a national QI programme on reducing electronic health record notifications to clinicians.
In this study, the investigators evaluated the impact of a national, multicomponent, quality improvement (QI) programme designed to reduce low-value EHR notifications. The investigators found that, based on prior estimates on time to process notifications, this national QI programme potentially saved 1.5 hours per week per PCP to enable higher value work. The investigators also found that the number of daily notifications remained high, suggesting the need for additional multifaceted interventions and protected clinical time to help manage them.
AHRQ-funded; HS022087.
Citation: Shah T, Patel-Teague S, Kroupa L .
Impact of a national QI programme on reducing electronic health record notifications to clinicians.
BMJ Qual Saf 2019 Jan;28(1):10-14. doi: 10.1136/bmjqs-2017-007447..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Improvement, Quality of Care, Primary Care, Primary Care: Models of Care