National Healthcare Quality and Disparities Report
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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 DisplayedEnayati M, Sir M, Zhang X
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
This study’s objective will be to identify variables associated with diagnostic errors in emergency departments using large-scale EHR data and machine learning techniques. It will use trigger algorithms with electronic health record (EHR) data repositories to generate a large data set of records that are labeled trigger-positive or trigger-negative, depending on if they meet certain criteria. This study will be conducted by 2 academic medical centers with affiliated community hospitals.
AHRQ-funded; HS027363; HS026622.
Citation: Enayati M, Sir M, Zhang X .
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
JMIR Res Protoc 2021 Jun 14;10(6):e24642. doi: 10.2196/24642..
Keywords: Emergency Department, Diagnostic Safety and Quality, Patient Safety, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Okafor N, Payne VL, Chathampally Y
Using voluntary reports from physicians to learn from diagnostic errors in emergency medicine.
The researchers analysed incidents reported by ED physicians to determine disease conditions, contributory factors and patient harm associated with ED-related diagnostic errors. Among the 209 incidents, they identified 214 diagnostic errors associated with 65 unique diseases/conditions. Most diagnostic errors in ED appeared to relate to common disease conditions.
AHRQ-funded; HS017586; HS022087.
Citation: Okafor N, Payne VL, Chathampally Y .
Using voluntary reports from physicians to learn from diagnostic errors in emergency medicine.
Emerg Med J 2016 Apr;33(4):245-52. doi: 10.1136/emermed-2014-204604.
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Keywords: Diagnostic Safety and Quality, Emergency Department, Medical Errors, Risk, Patient Safety