National Healthcare Quality and Disparities Report
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- Adverse Events (1)
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- (-) Imaging (13)
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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 13 of 13 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
Ray X, Bojechko C, Moore KL
Evaluating the sensitivity of Halcyon's automatic transit image acquisition for treatment error detection: a phantom study using static IMRT.
The Varian Halcyon electronic portal imaging detector is always in-line with the beam and automatically acquires transit images for every patient with full-field coverage. These images could be used for "every patient, every monitor unit" quality assurance (QA) and eventually adaptive radiotherapy. This study evaluated the imager's sensitivity to potential clinical errors and day-to-day variations from clinical exit images.
AHRQ-funded; HS025440.
Citation: Ray X, Bojechko C, Moore KL .
Evaluating the sensitivity of Halcyon's automatic transit image acquisition for treatment error detection: a phantom study using static IMRT.
J Appl Clin Med Phys 2019 Nov;20(11):131-43. doi: 10.1002/acm2.12749..
Keywords: Imaging, 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
Qiu J, Harold Li H, Zhang T
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
Insufficient image contrast associated with radiation therapy daily setup x-ray images could negatively affect accurate patient treatment setup. The study authors developed a method to perform automatic and user-independent contrast enhancement on 2D kilo voltage (kV) and megavoltage (MV) x-ray images. The study concluded that the proposed method is able to outperform the standard image contrast adjustment procedures that are currently used in the commercial clinical systems.
AHRQ-funded; HS022888.
Citation: Qiu J, Harold Li H, Zhang T .
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
J Appl Clin Med Phys 2017 Nov;18(6):218-23. doi: 10.1002/acm2.12172..
Keywords: Diagnostic Safety and Quality, Quality of Care, Imaging, Patient Safety
Guo JW, Bennett H, Crouch BI
Reference website use patterns of poison control center specialists.
The purpose of this pilot study was to describe web reference use patterns of poison control center specialists using time tracking software. Investigators analyzed two weeks of web site use data from Utah poison control center (PCC) computers to describe patterns of reference web site use. The study demonstrated the utility of time tracking software for better understanding reference utilization in the PCC setting.
AHRQ-funded; HS021472.
Citation: Guo JW, Bennett H, Crouch BI .
Reference website use patterns of poison control center specialists.
2017 IEEE International Conference on Healthcare Informatics (ICHI) 2017 Aug:453. doi: 10.1109/ICHI.2017.40..
Keywords: Patient Safety, Imaging, Quality of Care
Wang Y, Mazur TR, Park JC
Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance.
This article describes the development of a fast Monte Carlo dose calculating system for validating online magnetic resonance imaging radiation therapy adaptive plans with both speed and accuracy. The Monte Carlo system is based on a simplified dose planning method code that incorporates a vendor-provided head model. A validated Monte Carlo code (gPENELOPE) was used to benchmark the new system.
AHRQ-funded; HS022888.
Citation: Wang Y, Mazur TR, Park JC .
Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance.
Phys Med Biol 2017 Jun 21;62(12):4970-90. doi: 10.1088/1361-6560/aa6e38..
Keywords: Cancer, Quality of Care, Imaging
Liu S, Mazur TR, Li H
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
In this study, a method is reported to perform IMRT and VMAT treatment delivery verification using 3D volumetric primary beam fluences reconstructed directly from planned beam parameters and treatment delivery records. The goals of this paper are to demonstrate that 1) 3D beam fluences can be reconstructed efficiently, and 2) quality assurance (QA) based on the reconstructed 3D fluences is capable of detecting additional treatment delivery errors, particularly for VMAT plans.
AHRQ-funded; HS022888.
Citation: Liu S, Mazur TR, Li H .
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
J Appl Clin Med Phys 2017 Jan;18(1):128-38. doi: 10.1002/acm2.12017.
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Keywords: Patient Safety, Imaging, Cancer: Lung Cancer, Treatments, Quality of Care
Kanzaria HK, Hall MK, Moore CL
Emergency department diagnostic imaging: the journey to quality.
The authors examine the current state of quality measurement as it pertains to ED imaging. They also review relevant policies and discuss both the associated challenges and the facilitators of using quality measures to help optimize ED imaging. Understanding such factors will help ensure the delivery of diagnostic imaging that is appropriate, high-quality, and patient-centered.
AHRQ-funded; HS023498.
Citation: Kanzaria HK, Hall MK, Moore CL .
Emergency department diagnostic imaging: the journey to quality.
Acad Emerg Med 2015 Dec;22(12):1380-4. doi: 10.1111/acem.12817.
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Keywords: Emergency Department, Imaging, Quality Indicators (QIs), Quality of Care
Ford E, Phillips M, Bojechko C
TU-G-BRD-08: in-vivo EPID dosimetry: quantifying the detectability of four classes of errors.
The researchers analyzed 17 patients; EPID images of the exit dose were acquired and used to reconstruct the planar dose at isocenter. Their data demonstrate the ability of EPID-based in-vivo dosimetry in detecting variations in patient habitus and errors related to machine parameters such as systematic multi-leaf collimator misalignments and machine output changes.
AHRQ-funded; HS022244.
Citation: Ford E, Phillips M, Bojechko C .
TU-G-BRD-08: in-vivo EPID dosimetry: quantifying the detectability of four classes of errors.
Med Phys 2015 Jun;42(6 Part 35):3629. doi: 10.1118/1.4925743..
Keywords: Patient Safety, Imaging, Quality of Care
Hollingsworth JM, Sakshaug JW, Zhang Y
In-office imaging capabilities among procedure-based specialty practices.
The authors sought to determine whether arrangements tailored to fit Stark law spur utilization. They found that the availability of in-office advanced imaging is associated with increased imaging use.
AHRQ-funded; HS020927; HS018726.
Citation: Hollingsworth JM, Sakshaug JW, Zhang Y .
In-office imaging capabilities among procedure-based specialty practices.
Surg Innov 2014 Aug;21(4):403-8. doi: 10.1177/1553350613505715.
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Keywords: Ambulatory Care and Surgery, Quality of Care, Imaging, Practice Patterns