National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (4)
- Adverse Events (8)
- Back Health and Pain (1)
- Clinical Decision Support (CDS) (2)
- Diagnostic Safety and Quality (3)
- (-) Electronic Health Records (EHRs) (10)
- Emergency Department (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (10)
- (-) Medical Errors (10)
- Medication (4)
- Medication: Safety (2)
- Patient Safety (10)
- Primary Care: Models of Care (1)
- Quality Improvement (1)
- Quality of Care (1)
- Shared Decision Making (1)
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 10 of 10 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
Salmasian H, Blanchfield BB, Joyce K
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Wrong-patient order entry (WPOE) errors have a high potential for harm; these errors are particularly frequent wherever workflows are complex and multitasking and interruptions are common, such as in the emergency department (ED). The purpose of this study was to evaluate whether the use of noninterruptive display of patient photographs in the banner of the electronic health record (EHR) is associated with a decreased rate of WPOE errors.
AHRQ-funded; HS024713.
Citation: Salmasian H, Blanchfield BB, Joyce K .
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
AMA Netw Open 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication, Medication: Safety, Patient Safety, Diagnostic Safety and Quality
Soleimani J, Pinevich Y, Barwise AK
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Although diagnostic error (DE) is a significant problem, it remains challenging for clinicians to identify it reliably and to recognize its contribution to the clinical trajectory of their patients. The purpose of this work was to evaluate the reliability of real-time electronic health record (EHR) reviews using a search strategy for the identification of DE as a contributor to the rapid response team (RRT) activation. Early and accurate recognition of critical illness is of paramount importance.
AHRQ-funded; HS026609.
Citation: Soleimani J, Pinevich Y, Barwise AK .
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Appl Clin Inform 2020 May;11(3):474-82. doi: 10.1055/s-0040-1713750..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety
Lambert BL, Galanter W, Liu KL
Automated detection of wrong-drug prescribing errors.
Investigators assessed the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data. They found that automated detection of LASA medication errors is feasible and can reveal errors not currently detected by other means. Additionally, real-time error detection is not possible with the current system. They suggested that further development should replicate their analysis in other health systems and on a larger set of medications and should decrease clinician time spent reviewing false-positive triggers by increasing specificity.
AHRQ-funded; HS021093.
Citation: Lambert BL, Galanter W, Liu KL .
Automated detection of wrong-drug prescribing errors.
BMJ Qual Saf 2019 Nov;28(11):908-15. doi: 10.1136/bmjqs-2019-009420..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Adelman JS, Applebaum JR, Schechter CB
Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial.
This study assessed whether the belief that having only 1 electronic health record (EHR) open at a time as opposed to 4 will reduce the number of wrong-patient orders by clinicians. A randomized clinical trial was conducted with 3356 clinicians in a large New York Health system from October 2015 to April 2017. Outcomes from emergency department, inpatient, and outpatient settings showed that there seemed to be no difference in the number of wrong-patient order errors. However, most clinicians in the unrestricted group placed orders with a single-record open anyway which limited the power of the study.
AHRQ-funded; HS023704.
Citation: Adelman JS, Applebaum JR, Schechter CB .
Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial.
JAMA 2019 May 14;321(18):1780-87. doi: 10.1001/jama.2019.3698..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Medical Errors, Patient Safety
Bhise V, Meyer AND, Singh H
Errors in diagnosis of spinal epidural abscesses in the era of electronic health records.
With this study, the investigators set out to identify missed opportunities in diagnosis of spinal epidural abscesses to outline areas for process improvement. The investigators found that despite wide availability of clinical data, errors in diagnosis of spinal epidural abscesses were common and involved inadequate history, physical examination, and test ordering. They suggested that solutions should include renewed attention to basic clinical skills.
AHRQ-funded; HS022087.
Citation: Bhise V, Meyer AND, Singh H .
Errors in diagnosis of spinal epidural abscesses in the era of electronic health records.
Am J Med 2017 Aug;130(8):975-81. doi: 10.1016/j.amjmed.2017.03.009..
Keywords: Adverse Events, Back Health and Pain, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Patient Safety
Horsky J, Aarts J, Verheul L
Clinical reasoning in the context of active decision support during medication prescribing.
The purpose of this study was to describe and analyze reasoning patterns of clinicians responding to drug-drug interaction alerts in order to understand the role of patient-specific information in the decision-making process about the risks and benefits of medication therapy. The investigators found that declining an alert suggestion was preceded by sometimes brief but often complex reasoning, prioritizing different aspects of care quality and safety, especially when the perceived risk was higher.
AHRQ-funded; HS021094.
Citation: Horsky J, Aarts J, Verheul L .
Clinical reasoning in the context of active decision support during medication prescribing.
Int J Med Inform 2017 Jan;97:1-11. doi: 10.1016/j.ijmedinf.2016.09.004..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Liang C, Gong Y
On building an ontological knowledge base for managing patient safety events.
The authors developed a semantic web ontology based on the WHO International Classification for Patient Safety (ICPS) and AHRQ Common Formats for patient safety event reporting. The ontology holds potential in enhancing knowledge management and information retrieval, as well as providing flexible data entry and case analysis. They detailed their efforts in data acquisition, transformation, implementation and initial evaluation of the ontology.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
On building an ontological knowledge base for managing patient safety events.
Stud Health Technol Inform 2015;216:202-6.
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Keywords: Adverse Events, Medical Errors, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Senathirajah Y
Safer design - composable EHRs and mechanisms for safety.
In this paper, the author discussed how the different drag/drop interaction paradigm has implications for health IT safety via several mechanisms. These mechanisms included display fragmentation and the need to changeably prioritize information elements, interruptions, fit to tasks and contexts, and rapid changeability allowing low-cost readjustments when lack of fit is found.
AHRQ-funded; HS023708.
Citation: Senathirajah Y .
Safer design - composable EHRs and mechanisms for safety.
Stud Health Technol Inform 2015;218:40602.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Primary Care: Models of Care, Patient Safety
Pohl JM, Tanner C, Hamilton A
Medication safety after implementation of a commercial electronic health record system in five safety-net practices: a mixed methods approach.
This study, conducted in five safety-net practices, examined the impact of implementing a commercial electronic health records system on medication safety. The authors found 130 "true" drug-drug interaction (DDI) pairs, representing 149,087 visits and 62 providers, with the largest DDI categories being related to antihypertensive medications, which are often prescribed together. They found no significant differences between physicians and nurse practitioners on the rate of DDI pairs.
AHRQ-funded; HS017191.
Citation: Pohl JM, Tanner C, Hamilton A .
Medication safety after implementation of a commercial electronic health record system in five safety-net practices: a mixed methods approach.
J Am Assoc Nurse Pract 2014 Aug;26(8):438-44. doi: 10.1002/2327-6924.12089.
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Keywords: Medication: Safety, Medication, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety