National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (2)
- Ambulatory Care and Surgery (2)
- Back Health and Pain (1)
- Communication (1)
- (-) Diagnostic Safety and Quality (9)
- Electronic Health Records (EHRs) (1)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (2)
- Hospitals (1)
- Imaging (3)
- Injuries and Wounds (1)
- Medical Errors (3)
- (-) Patient Safety (9)
- Primary Care (1)
- Provider: Clinician (1)
- Quality Improvement (2)
- Quality of Care (2)
- Rural/Inner-City Residents (1)
- Surgery (1)
- Urban Health (1)
- Vulnerable Populations (1)
- Women (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 9 of 9 Research Studies DisplayedChang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH
A method to recognize anatomical site and image acquisition view in x-ray images.
A method was developed to recognize anatomical site and image acquisition view automatically in 2D X-ray images that are used in image-guided radiation therapy. The purpose was to enable site and view dependent automation and optimization in the image processing tasks including 2D-2D image registration, 2D image contrast enhancement, and independent treatment site confirmation.
AHRQ-funded; HS022888.
Citation: Chang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH .
A method to recognize anatomical site and image acquisition view in x-ray images.
J Digit Imaging 2017 Dec;30(6):751-60. doi: 10.1007/s10278-017-9981-6..
Keywords: Diagnostic Safety and Quality, Imaging, Patient Safety
Yang D, Zhang M, Chang X
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
An image processing procedure was developed in this study to detect large quantity of landmark pairs accurately in pairs of volumetric medical images. The procedure allows a semi-automatic way to generate the ground truth landmark datasets that allow quantitatively evaluation of deformable image registration algorithms for radiation therapy applications.
AHRQ-funded; HS022888.
Citation: Yang D, Zhang M, Chang X .
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
Med Phys 2017 Nov;44(11):5859-72. doi: 10.1002/mp.12526..
Keywords: Imaging, Patient Safety, Diagnostic Safety and Quality
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
Rogith D, Iyengar MS, Singh H
Using fault trees to advance understanding of diagnostic errors.
In this study, the investigators used fault trees to advance understanding of diagnostic errors. A team of three experts reviewed 10 published cases of diagnostic error and constructed fault trees. The fault trees were modeled according to currently available conceptual frameworks characterizing diagnostic error. The 10 trees were then synthesized into a single fault tree to identify common contributing factors and pathways leading to diagnostic error. The investigators indicate that fault trees might provide a useful framework for both quantitative and qualitative analysis of diagnostic errors.
AHRQ-funded; HS022087; HS023602.
Citation: Rogith D, Iyengar MS, Singh H .
Using fault trees to advance understanding of diagnostic errors.
Jt Comm J Qual Patient Saf 2017 Nov;43(11):598-605. doi: 10.1016/j.jcjq.2017.06.007..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality of Care, Quality Improvement
Clarity C, Sarkar U, Lee J
Clinician perspectives on the management of abnormal subcritical tests in an urban academic safety-net health care system.
Missed or delayed follow-up of abnormal subcritical tests (tests that do not require immediate medical attention) can lead to poor patient outcomes. Safety-net health systems with limited resources and socially complex patients are vulnerable to safety gaps resulting from delayed management. In this study, clinician perspectives to identify system challenges, vulnerable situations, and potential solutions, were sought in focus groups.
AHRQ-funded; HS023558.
Citation: Clarity C, Sarkar U, Lee J .
Clinician perspectives on the management of abnormal subcritical tests in an urban academic safety-net health care system.
Jt Comm J Qual Patient Saf 2017 Oct;43(10):517-23. doi: 10.1016/j.jcjq.2017.05.007..
Keywords: Urban Health, Rural/Inner-City Residents, Diagnostic Safety and Quality, Patient Safety, Vulnerable Populations, Ambulatory Care and Surgery, Communication, Provider: Clinician
Calderwood MS, Huang SS, Keller V
Variable case detection and many unreported cases of surgical-site infection following colon surgery and abdominal hysterectomy in a statewide validation.
This study assesses hospital surgical-site infection (SSI) identification and reporting following colon surgery and abdominal hysterectomy via a statewide external validation. The authors concluded that claims-based surveillance is a standardized approach that hospitals can use to augment traditional surveillance methods and health departments can use for external validation.
AHRQ-funded; HS021424.
Citation: Calderwood MS, Huang SS, Keller V .
Variable case detection and many unreported cases of surgical-site infection following colon surgery and abdominal hysterectomy in a statewide validation.
Infect Control Hosp Epidemiol 2017 Sep;38(9):1091-97. doi: 10.1017/ice.2017.134..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Patient Safety, Women, Adverse Events, Diagnostic Safety and Quality, Hospitals
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
Arnold S
AHRQ Author: Arnold S
The imperative to address diagnostic safety.
Diagnostic errors are likely to impact most of us in our lifetime. The author discusses two studies pointing to the vastness of the challenge and the urgency to act now. He also discusses other aspects of this issue and highlights two current AHRQ dedicated research opportunities on diagnostic safety: one to look at the incidence and causes of diagnostic errors in ambulatory care, and the second to look at improvement strategies and interventions.
AHRQ-authored.
Citation: Arnold S .
The imperative to address diagnostic safety.
Diagnosis 2017 Jun 27;4(2):55-56. doi: 10.1515/dx-2017-0017.
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Keywords: Diagnostic Safety and Quality, Medical Errors, Ambulatory Care and Surgery, Patient Safety, Quality Improvement
Singh H, Schiff GD, Graber ML
The global burden of diagnostic errors in primary care.
In this narrative review, the authors discuss the global significance, burden and contributory factors related to diagnostic errors in primary care. They then synthesize available literature to discuss the types of presenting symptoms and conditions most commonly affected. Finally, they summarize interventions based on available data and suggest next steps to reduce the global burden of diagnostic errors.
AHRQ-funded; HS022087; HS023602.
Citation: Singh H, Schiff GD, Graber ML .
The global burden of diagnostic errors in primary care.
BMJ Qual Saf 2017 Jun;26(6):484-94. doi: 10.1136/bmjqs-2016-005401.
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Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Medical Errors, Patient Safety, Primary Care