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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 5 of 5 Research Studies DisplayedChang X, Li HH, Kalet AM
Development and validation of a bayesian network method to detect external beam radiation therapy physician order errors.
This study investigated using a Bayesian network (BN)-based method to detect physician order errors in external beam radiation therapy. The authors extracted data from 4331 total external beam radiation orders written from 2008 to 2017 at their institution of origin. The cohort was divided into 3 groups: single prescription, concurrent boost, and sequential boost. True-positive (TPR) and false-positive (FPR) rates were determined. The investigators saw good results using the BN method.
AHRQ-funded; HS022888.
Citation: Chang X, Li HH, Kalet AM .
Development and validation of a bayesian network method to detect external beam radiation therapy physician order errors.
Int J Radiat Oncol Biol Phys 2019 Oct 1;105(2):423-31. doi: 10.1016/j.ijrobp.2019.05.034..
Keywords: Medical Errors, Patient Safety, Cancer, Treatments
Maitree R, Perez-Carrillo GJG, Shimony JS
Adaptive anatomical preservation optimal denoising for radiation therapy daily MRI.
An innovative method, adaptive anatomical preservation optimal denoising (AAPOD), was developed for optimal image denoising, i.e., to maximally reduce noise while preserving the tissue boundaries. The experimental results demonstrated that AAPOD was capable of reducing noise adaptively and optimally while avoiding tissue boundary losses.
AHRQ-funded; HS022888.
Citation: Maitree R, Perez-Carrillo GJG, Shimony JS .
Adaptive anatomical preservation optimal denoising for radiation therapy daily MRI.
J Med Imaging 2017 Jul;4(3):034004. doi: 10.1117/1.jmi.4.3.034004.
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Keywords: Imaging, Treatments, Cancer, Patient Safety
Liu S, Mazur T, Li H
SU-F-T-275: A correlation study on 3D fluence-based QA and 2D dose measurement-based QA.
The aim of this paper was to demonstrate the feasibility and creditability of computing and verifying 3D fluencies to assure IMRT and VMAT treatment deliveries, by correlating the passing rates of the 3D fluence-based QA (P(alpha)) to the passing rates of 2D dose measurement based QA (P(Dm)). It concluded that the demonstrated correlations improve the creditability of using 3D fluence-based QA for assuring treatment deliveries for IMRT/VMAT plans.
AHRQ-funded; HS022888.
Citation: Liu S, Mazur T, Li H .
SU-F-T-275: A correlation study on 3D fluence-based QA and 2D dose measurement-based QA.
Med Phys 2016 Jun;43(6 Part 17):3525-26. doi: 10.1118/1.4956415.
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Keywords: Cancer, Healthcare Delivery, Treatments, Patient Safety, Health Information Technology (HIT)
Liu S, Wu Y, Chang X
TU-FG-201-03: Automatic pre-delivery verification using statistical analysis of consistencies in treatment plan parameters by the treatment site and modality.
A novel computer software system, namely APDV (Automatic Pre-Delivery Verification), was developed for verifying patient treatment plan parameters right prior to treatment deliveries in order to automatically detect and prevent catastrophic errors. This study implemented APDV as a stand-alone program to ensure required real time performance. It concluded that APDV could be useful in detecting and preventing catastrophic errors immediately before treatment deliveries.
AHRQ-funded; HS022888.
Citation: Liu S, Wu Y, Chang X .
TU-FG-201-03: Automatic pre-delivery verification using statistical analysis of consistencies in treatment plan parameters by the treatment site and modality.
Med Phys 2016 Jun;43(6 Part 35):3753. doi: 10.1118/1.4957526.
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Keywords: Cancer, Healthcare Delivery, Treatments, Patient Safety, Health Information Technology (HIT)
Yang D, Wooten HO, Green O
A software tool to automatically assure and report daily treatment deliveries by a Cobalt-60 radiation therapy device.
The researchers developed a method for verification of treatment delivery after each treatment fraction in order to detect and correct errors, and they developed a comprehensive daily report. The end result has been integrated into a commercial version of the treatment delivery system, and it has been in clinical use for over one year.
AHRQ-funded; HS022888.
Citation: Yang D, Wooten HO, Green O .
A software tool to automatically assure and report daily treatment deliveries by a Cobalt-60 radiation therapy device.
J Appl Clin Med Phys 2016 May 8;17(3):6001.
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Keywords: Treatments, Cancer, Quality of Care, Patient Safety