National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Clinical Decision Support (CDS) (1)
- Critical Care (1)
- (-) Diagnostic Safety and Quality (5)
- Digestive Disease and Health (1)
- Electronic Health Records (EHRs) (1)
- Genetics (1)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (1)
- Medical Errors (3)
- Methicillin-Resistant Staphylococcus aureus (MRSA) (1)
- (-) Patient Safety (5)
- Primary Care (1)
- Quality Measures (2)
- 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 5 of 5 Research Studies DisplayedAlmario CV, Chey WD, Iriana S
Computer versus physician identification of gastrointestinal alarm features.
This study's objective was to compare the number of alarms documented by physicians during usual care vs. that collected by a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS). AEGIS identified more patients with positive alarm features compared to physicians and also documented more positive alarms. Moreover, clinicians documented only 30% of the positive alarms self-reported by patients through AEGIS.
AHRQ-funded; HS000046.
Citation: Almario CV, Chey WD, Iriana S .
Computer versus physician identification of gastrointestinal alarm features.
Int J Med Inform 2015 Dec;84(12):1111-7. doi: 10.1016/j.ijmedinf.2015.07.006.
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Keywords: Clinical Decision Support (CDS), Diagnostic Safety and Quality, Digestive Disease and Health, Electronic Health Records (EHRs), Patient Safety
Murray DJ, Freeman BD, Boulet JR
Decision making in trauma settings: simulation to improve diagnostic skills.
The objective of this study was to determine whether simulation could be used to provide teams the experiences in managing scenarios that require the use of heuristic as well as analytic diagnostic skills to effectively recognize and treat potentially life-threatening injuries. The results of this preliminary study indicates that teams led by more senior residents received higher scores when managing heuristic scenarios but were less effective when managing the scenarios that require a more analytic approach.
AHRQ-funded; HS018734; HS022265.
Citation: Murray DJ, Freeman BD, Boulet JR .
Decision making in trauma settings: simulation to improve diagnostic skills.
Simul Healthc 2015 Jun;10(3):139-45. doi: 10.1097/sih.0000000000000073..
Keywords: Shared Decision Making, Diagnostic Safety and Quality, Critical Care, Patient Safety, Medical Errors
Patel PA, Robicsek A, Grayes A
Evaluation of multiple real-time PCR tests on nasal samples in a large MRSA surveillance program.
The researchers evaluated the LightCycler MRSA Advanced Test (Roche Molecular Diagnostics, Pleasanton, CA), the BD MAX MRSA assay (Becton Dickinson, Franklin Lakes, NJ), and the Xpert MRSA assay (Cepheid, Sunnyvale, CA) on nasal samples using the same population. Their results suggest that the performance of the three commercial assays is similar.
AHRQ-funded; HS019968.
Citation: Patel PA, Robicsek A, Grayes A .
Evaluation of multiple real-time PCR tests on nasal samples in a large MRSA surveillance program.
Am J Clin Pathol 2015 May;143(5):652-8. doi: 10.1309/ajcpmdy32ztdxpfc..
Keywords: Methicillin-Resistant Staphylococcus aureus (MRSA), Healthcare-Associated Infections (HAIs), Patient Safety, Diagnostic Safety and Quality, Genetics
Singh H, Sittig DF
Setting the record straight on measuring diagnostic errors. Reply to: 'Bad assumptions on primary care diagnostic errors' by Dr Richard Young.
This letter responds to a letter by Dr. Richard Young who criticizes Singh’s article on measuring diagnostic error. Singh defends his systems-based approach to advancing the science of measuring diagnostic error and acknowledges some of the uncertainties and evolution in the diagnostic process that Dr. Young writes about.
AHRQ-funded; HS022087
Citation: Singh H, Sittig DF .
Setting the record straight on measuring diagnostic errors. Reply to: 'Bad assumptions on primary care diagnostic errors' by Dr Richard Young.
BMJ Qual Saf. 2015 May;24(5):345-8. doi: 10.1136/bmjqs-2015-004140..
Keywords: Diagnostic Safety and Quality, Medical Errors, Patient Safety, Primary Care, Quality Measures
Singh H, Sittig DF
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
The authors developed a multifaceted framework to advance the science of measuring diagnostic errors (The Safer Dx framework). They described how their framework serves as a conceptual foundation for system-wide safety measurement, monitoring, and improvement of diagnostic error. They posited that the Safer Dx framework can be used by a variety of stakeholders including researchers, clinicians, health care organizations, and policymakers, to stimulate both retrospective and more proactive measurement of diagnostic errors.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
BMJ Qual Saf 2015 Feb;24(2):103-10. doi: 10.1136/bmjqs-2014-003675.
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Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Medical Errors, Patient Safety, Quality Measures