National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
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Search All Research Studies
Topics
- Adverse Events (2)
- Blood Pressure (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (2)
- Emergency Department (1)
- (-) Health Information Technology (HIT) (3)
- Health Services Research (HSR) (1)
- (-) Medical Errors (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 DisplayedGriffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: validation and testing to optimize yield.
Researchers validated the emergency department trigger tool (EDTT) in an independent sample and compared record selection approaches to optimize yield for quality improvement. In this single-site study of the EDTT, they observed high levels of validity in trigger selection, yield, and representativeness of adverse events, with yields that are superior to estimates for traditional approaches to adverse event detection. Record selection using weighted triggers outperformed a trigger count threshold approach and far outperformed random sampling from records with at least one trigger. They concluded that the EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the emergency department.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: validation and testing to optimize yield.
Acad Emerg Med 2020 Dec;27(12):1279-90. doi: 10.1111/acem.14101..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events, Patient Safety, Quality Improvement, Quality of Care
Zhou L, Blackley SV, Kowalski L
Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists.
The purpose of this study was to identify and analyze errors at each stage of the speech recognition (SR) assisted dictation process. The study concluded that seven in 100 words in SR-generated documents contain errors; many errors involve clinical information. That most errors were corrected before notes were signed demonstrates the importance of manual review, quality assurance, and auditing.
AHRQ-funded; HS024264.
Citation: Zhou L, Blackley SV, Kowalski L .
Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists.
JAMA Network Open 2018 Jul;1(3):e180530. doi: 10.1001/jamanetworkopen.2018.1627..
Keywords: Quality of Care, Health Information Technology (HIT), Health Services Research (HSR), Medical Errors, Patient Safety
Muldoon MF, Kronish IM, Shimbo D
Of signal and noise: overcoming challenges in blood pressure measurement to optimize hypertension care.
This paper reviews the manifestations and consequences of BP mismeasurement and misinterpretation in clinical practice and draw on recent research to propose a set of solutions that leverage available technologies to optimize hypertension care.
AHRQ-funded; HS024262.
Citation: Muldoon MF, Kronish IM, Shimbo D .
Of signal and noise: overcoming challenges in blood pressure measurement to optimize hypertension care.
Circ Cardiovasc Qual Outcomes 2018 May;11(5):e004543. doi: 10.1161/circoutcomes.117.004543..
Keywords: Blood Pressure, Diagnostic Safety and Quality, Adverse Events, Medical Errors, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality of Care