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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (2)
- Ambulatory Care and Surgery (1)
- Clinical Decision Support (CDS) (1)
- (-) Diagnostic Safety and Quality (8)
- Electronic Health Records (EHRs) (5)
- (-) Health Information Technology (HIT) (8)
- Imaging (2)
- Medical Errors (2)
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- Medication: Safety (1)
- (-) Patient Safety (8)
- Surveys on Patient Safety Culture (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 8 of 8 Research Studies DisplayedSalmasian 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
Yang J, Wang L, Phadke
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor. The purpose of this study was to develop a deep learning model to identify allergic reactions in the free-text narrative of hospital safety reports and evaluate its generalizability, efficiency, productivity, and interpretability. The investigators concluded that their study showed that a deep learning model could accurately and efficiently identify allergic reactions using free-text narratives written by a variety of health care professionals.
AHRQ-funded; HS025375.
Citation: Yang J, Wang L, Phadke .
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
JAMA Netw Open 2020 Nov 2;3(11):e2022836. doi: 10.1001/jamanetworkopen.2020.22836..
Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Patient Safety
Lacson R, Healey MJ, Cochon LR
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
The purpose of this study was to assess the prevalence of unscheduled radiologic examination orders in an electronic health record and to assess the proportion of unscheduled orders that are clinically necessary. Unscheduled radiologic examination orders were retrieved for seven modalities: computed tomography, magnetic resonance imaging, ultrasound, obstetric ultrasound, bone densitometry, mammography, and fluoroscopy. Findings showed that large numbers of radiologic examination orders remain unscheduled in the electronic health record. Identifying and performing clinically necessary unscheduled radiologic examination orders may help reduce diagnostic errors related to diagnosis and treatment delays and enhance patient safety.
AHRQ-funded; HS024722.
Citation: Lacson R, Healey MJ, Cochon LR .
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
J Am Coll Radiol 2020 Jun;17(6):765-72. doi: 10.1016/j.jacr.2019.12.021..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Imaging, Patient Safety
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
Meyer AND, Giardina TD, Spitzmueller C
Patient perspectives on the usefulness of an artificial intelligence-assisted symptom checker: cross-sectional survey study.
This study examined patients’ experiences using an artificial intelligence (AI)-assisted online symptom checker and their doctors’ reactions to that use. From March 2 through March 15, 2018 an online survey was conducted of US users of the Isabel Symptom Checker within 6 months of their use. The majority of users were women, white, and had a mean age of 48. Overall, patients had a positive experience with the symptom checker and felt they would use it again (91.4%). About 48% discussed the findings with their physician and felt about 40% of their physicians were interested. Patients who had previously experienced diagnostic errors were more likely to use the symptom checker to determine if they should seek care.
AHRQ-funded; HS025474; HS027363.
Citation: Meyer AND, Giardina TD, Spitzmueller C .
Patient perspectives on the usefulness of an artificial intelligence-assisted symptom checker: cross-sectional survey study.
J Med Internet Res 2020 Jan 30;22(1):e14679. doi: 10.2196/14679..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety
Campione JR, Mardon RE, McDonald KM
Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.
Researchers investigated the relationship between patient safety culture, health information technology (IT) implementation, and the frequency of problems that could lead to diagnostic errors in the medical office setting. Using survey data from the 2012 Agency for Healthcare Research and Quality Medical Office Surveys on Patient Safety Culture database, they found that the most frequent problem was "results from a lab or imaging test were not available when needed," with 15% of respondents reporting that it happened daily or weekly. Higher overall culture scores were significantly associated with fewer occurrences of each problem assessed, and offices in the process of health IT implementation had higher frequency of problems.
AHRQ-funded; 290201200003I.
Citation: Campione JR, Mardon RE, McDonald KM .
Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.
J Patient Saf 2019 Dec;15(4):267-73. doi: 10.1097/pts.0000000000000531..
Keywords: Surveys on Patient Safety Culture, Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Ambulatory Care and Surgery
Lacson R, Gujrathi I, Healey M
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
This study looked at the impact of implementing a tool called SCORE (System for Coordinating Orders for Radiology Exams), whose objective is to manage unscheduled orders for outpatient diagnostic imaging in an electronic health record (EHR) with embedded computerized physician order entry. The rate of unscheduled imaging orders was compared before SCORE (October 2017 to September 2018) and after (October 2018 to June 2019). There was a 49% reduction in unscheduled orders after SCORE implementation at a large academic institution.
AHRQ-funded; HS024722.
Citation: Lacson R, Gujrathi I, Healey M .
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
J Am Coll Radiol 2021 Jan;18(1 Pt A):60-67. doi: 10.1016/j.jacr.2020.09.031..
Keywords: Imaging, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Murphy DR, Meyer AN, Sittig DF
Application of electronic trigger tools to identify targets for improving diagnostic safety.
This article discusses the use of electronic trigger tools to reduce diagnostic errors and improve patient safety. The authors present a framework called Safer Dx Trigger Tools Framework that will enable health systems to develop and implement e-trigger tools. It identifies and measures diagnostic errors using comprehensive electronic health record (EHR) data. The application of the algorithms used will require a diverse team of specialists to implement. Future research is also outlined.
AHRQ-funded; HS022901; HS022087; HS017820.
Citation: Murphy DR, Meyer AN, Sittig DF .
Application of electronic trigger tools to identify targets for improving diagnostic safety.
BMJ Qual Saf 2019 Feb;28(2):151-59. doi: 10.1136/bmjqs-2018-008086..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety