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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 4 of 4 Research Studies DisplayedKessler R, Stowell JR, Vogel JA
Effect of interventional program on the utilization of PACS in point-of-care ultrasound.
The study’s objective was to determine if a simple interventional program would influence the utilization of Picture Archiving and Communication Systems (PACS) in point-of-care ultrasound. It concluded that a simple interventional program for emergency physicians can significantly increase and sustain the utilization of PACS for point-of-care ultrasound.
AHRQ-funded; HS023901.
Citation: Kessler R, Stowell JR, Vogel JA .
Effect of interventional program on the utilization of PACS in point-of-care ultrasound.
J Digit Imaging 2016 Dec;29(6):701-05. doi: 10.1007/s10278-016-9893-x.
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Keywords: Emergency Medical Services (EMS), Imaging, Healthcare Utilization, Health Information Technology (HIT)
Murphy DR, Meyer AN, Bhise V
Computerized triggers of big data to detect delays in follow-up of chest imaging results.
A "trigger" algorithm was used to identify delays in follow-up of abnormal chest imaging results in a large national clinical data warehouse of electronic health record (EHR) data. In this study, the authors applied a trigger in a repository hosting EHR data from all Department of Veterans Affairs health-care facilities and analyzed data from seven facilities. The investigators concluded that application of triggers on "big" EHR data may aid in identifying patients experiencing delays in diagnostic evaluation of chest imaging results suspicious for malignancy.
Citation: Murphy DR, Meyer AN, Bhise V .
Computerized triggers of big data to detect delays in follow-up of chest imaging results.
Chest 2016 Sep;150(3):613-20. doi: 10.1016/j.chest.2016.05.001..
Keywords: Imaging, Electronic Health Records (EHRs), Health Information Technology (HIT), Data, Diagnostic Safety and Quality, Cancer
Liu S, Wu Y, Wooten HO
Methods to model and predict the ViewRay treatment deliveries to aid patient scheduling and treatment planning.
A software tool is developed to predict treatment delivery time for radiation therapy (RT) treatments of patients on ViewRay magnetic resonance image-guided radiation therapy (MR-IGRT) delivery system. This tool is necessary for managing patient treatment scheduling in a clinic. After modeling and quantitative analysis, the researchers proposed an algorithm that is able to predict the ViewRay treatment delivery time with the average prediction error 0.22min or 1.82 percent.
AHRQ-funded; HS022888.
Citation: Liu S, Wu Y, Wooten HO .
Methods to model and predict the ViewRay treatment deliveries to aid patient scheduling and treatment planning.
J Appl Clin Med Phys 2016 Mar 8;17(2):5907.
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Keywords: Cancer, Health Information Technology (HIT), Imaging
Lacson R, Prevedello LM, Andriole KP
Four-year impact of an alert notification system on closed-loop communication of critical test results.
The authors evaluated the impact of an alert notification system on policy adherence for communicating critical imaging test results to referring providers and assessed system adoption over the first 4 years after implementation. They concluded that an automated alert notification system for communicating critical imaging results was successfully adopted and was associated with increased adherence to institutional policy for communicating critical test results and with reduced workflow interruptions.
AHRQ-funded; HS019635.
Citation: Lacson R, Prevedello LM, Andriole KP .
Four-year impact of an alert notification system on closed-loop communication of critical test results.
AJR Am J Roentgenol 2014 Nov;203(5):933-8. doi: 10.2214/ajr.14.13064.
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Keywords: Communication, Decision Making, Guidelines, Health Information Technology (HIT), Imaging