National Healthcare Quality and Disparities Report
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- Adverse Events (2)
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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 5 of 5 Research Studies DisplayedPruitt ZM, Howe JL, Hettinger AZ
Emergency physician perceptions of electronic health record usability and safety.
Investigators sought to identify emergency physicians' perceived electronic health record (EHR) usability and safety strengths and shortcomings across major EHR vendor products. They found that the 3 most commonly discussed usability topics were Workflow Support (shortcoming), Visual Display (strength), and Data Entry. Fourteen cross-hospital/cross-vendor themes, 6 vendor-specific themes, and 4 hospital-specific themes emerged as well.
AHRQ-funded; HS025136.
Citation: Pruitt ZM, Howe JL, Hettinger AZ .
Emergency physician perceptions of electronic health record usability and safety.
J Patient Saf 2021 Dec 1;17(8):e983-e87. doi: 10.1097/pts.0000000000000849..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Enayati 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)
Griffey 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
Patterson BW, Repplinger MD, Pulia MS
Using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls after emergency department visits.
This study examined the utility of using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls in elderly patients after emergency department (ED) visits. Individuals aged 65 and older seen in the ED from January 2013 to September 30, 2015 participated in the study. The Hendrich II screen was found to correlate with outpatient falls, but it is likely it would have little utility as a stand-alone fall screen. When the screen was combined with other potential confounders or predictors, the screen performed much better.
AHRQ-funded; HS024558.
Citation: Patterson BW, Repplinger MD, Pulia MS .
Using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls after emergency department visits.
J Am Geriatr Soc 2018 Apr;66(4):760-65. doi: 10.1111/jgs.15299..
Keywords: Elderly, Falls, Risk, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Prevention, Patient Safety, Adverse Events
Peterson SM, Gurses AP, Regan L
Resident to resident handoffs in the emergency department: an observational study.
This study aimed to identify hazards to patient safety and barriers to efficiency related to resident handoffs in the ED. It found that residents were interrupted, on average, every 8.5 min. The most common deficit in relaying the plan of care strategy was failing to relay medications administered (32 percent). In addition, there were ambiguities related to medication administration.
AHRQ-funded; HS018762.
Citation: Peterson SM, Gurses AP, Regan L .
Resident to resident handoffs in the emergency department: an observational study.
J Emerg Med 2014 Nov;47(5):573-9. doi: 10.1016/j.jemermed.2014.06.027..
Keywords: Emergency Department, Emergency Medical Services (EMS), Patient Safety, Electronic Health Records (EHRs), Medication