National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Decision Making (2)
- Diagnostic Safety and Quality (5)
- Electronic Health Records (EHRs) (1)
- Emergency Department (3)
- Healthcare Costs (1)
- Health Information Technology (HIT) (1)
- (-) Imaging (8)
- Medical Errors (1)
- Patient Safety (2)
- Payment (1)
- Policy (1)
- (-) Quality Improvement (8)
- Quality Indicators (QIs) (1)
- Quality Measures (1)
- Quality of Care (5)
- Research Methodologies (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 DisplayedDesai S, Kapoor N, Hammer MM
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
This study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented. Findings showed that the RADAR QI initiative was associated with increased timely IPN follow-up.
AHRQ-funded; HS024722.
Citation: Desai S, Kapoor N, Hammer MM .
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
Jt Comm J Qual Patient Saf 2021 May;47(5):275-81. doi: 10.1016/j.jcjq.2020.12.006..
Keywords: Quality Improvement, Quality of Care, Diagnostic Safety and Quality, Imaging
Kocher KE, Arora R, Bassin BS
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
The Michigan Emergency Department Improvement Collaborative (MEDIC) has baseline performance data to identify practice variation across 15 diverse emergency departments on key emergency care quality indicators. The authors assessed MEDIC quality measures and found that performance varied greatly, with demonstrated opportunity for improvement. They conclude that MEDIC provides a robust platform for emergency physician engagement across emergency department practice settings to improve care and is a model for other states.
AHRQ-funded; HS024160.
Citation: Kocher KE, Arora R, Bassin BS .
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
Ann Emerg Med 2020 Feb;75(2):192-205. doi: 10.1016/j.annemergmed.2019.04.033..
Keywords: Emergency Department, Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Imaging, Diagnostic Safety and Quality
Sheehan SE, Safdar N, Singh H
Detection and remediation of misidentification errors in radiology examination ordering.
In this study, the investigators described the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation. The investigators concluded that their trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high positive predictive value.
AHRQ-funded; HS022087; HS017820.
Citation: Sheehan SE, Safdar N, Singh H .
Detection and remediation of misidentification errors in radiology examination ordering.
Appl Clin Inform 2020 Jan;11(1):79-87. doi: 10.1055/s-0039-3402730..
Keywords: Medical Errors, Adverse Events, Diagnostic Safety and Quality, Patient Safety, Imaging, Quality Improvement, Quality of Care
Kang SK, Garry K, Chung R
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
The authors developed natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations using the electronic health records for patients who underwent chest CT before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. They concluded that NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.
AHRQ-funded; HS024376.
Citation: Kang SK, Garry K, Chung R .
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
J Am Coll Radiol 2019 Nov;16(11):1587-94. doi: 10.1016/j.jacr.2019.04.026..
Keywords: Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT), Electronic Health Records (EHRs), Quality Improvement, Quality of Care
Cochon LR, Kapoor N, Carrodeguas E
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
The purpose of this study was to determine the incidence and to identify factors associated with follow-up recommendations in radiology reports from multiple modalities, patient care settings, and imaging divisions. A trained algorithm classified 318,366 report; the findings indicate that substantial interradiologist variation exists in the probability of recommending a follow-up examination in a radiology report.
AHRQ-funded; HS024722.
Citation: Cochon LR, Kapoor N, Carrodeguas E .
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
Radiology 2019 Jun;291(3):700-07. doi: 10.1148/radiol.2019182826..
Keywords: Decision Making, Diagnostic Safety and Quality, Imaging, Patient Safety, Quality of Care, Quality Improvement
Blackmore CC, Castro A
Improving the quality of imaging in the emergency department.
The six-tier efficacy hierarchy of Fryback and Thornbury enables understanding of the value of imaging on multiple levels, ranging from technical efficacy to medical decision-making and higher-level patient and societal outcomes. In this article, the authors elucidate the Fryback and Thornbury framework to define the value of imaging in the ED and to relate emergency imaging to the IOM quality domains.
AHRQ-funded; HS023498.
Citation: Blackmore CC, Castro A .
Improving the quality of imaging in the emergency department.
Acad Emerg Med 2015 Dec;22(12):1385-92. doi: 10.1111/acem.12816.
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Keywords: Decision Making, Emergency Department, Imaging, Quality Improvement
Berdahl C, Schuur JD, Fisher NL
Policy measures and reimbursement for emergency medical imaging in the era of payment reform: proceedings from a panel discussion of the 2015 Academic Emergency Medicine Consensus Conference.
In May 2015, Academic Emergency Medicine convened a consensus conference titled "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization." As part of the conference, a panel of health care policy leaders and emergency physicians discussed the effect of the Affordable Casre Act and other quality programs on ED diagnostic imaging. This article discusses the content of the panel's presentations.
AHRQ-funded; HS023498.
Citation: Berdahl C, Schuur JD, Fisher NL .
Policy measures and reimbursement for emergency medical imaging in the era of payment reform: proceedings from a panel discussion of the 2015 Academic Emergency Medicine Consensus Conference.
Acad Emerg Med 2015 Dec;22(12):1393-9. doi: 10.1111/acem.12829.
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Keywords: Emergency Department, Healthcare Costs, Payment, Policy, Imaging, Policy, Quality Improvement
Abramson RG, Burton KR, Yu JP
Methods and challenges in quantitative imaging biomarker development.
In this article, the Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force reviews current issues in quantitative imaging (QI) biomarker research, discusses motivations for advancing QI, defines key terms, presents a framework for QI biomarker research, and outlines challenges in QI biomarker development.
AHRQ-funded; 290201200007I.
Citation: Abramson RG, Burton KR, Yu JP .
Methods and challenges in quantitative imaging biomarker development.
Acad Radiol 2015 Jan;22(1):25-32. doi: 10.1016/j.acra.2014.09.001.
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Keywords: Imaging, Quality Improvement, Research Methodologies