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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.
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1 to 2 of 2 Research Studies DisplayedMurphy DR, Thomas EJ, Meyer AN
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
In this study, the researchers developed an electronic health record (EHR)-based trigger algorithm to identify delays in follow-up evaluation of patients with imaging findings suggestive of lung cancer. After validating the trigger with retrospective data, they concluded that EHR-based triggers can be used to identify patients with suspicious imaging findings in whom follow-up diagnostic evaluation was delayed.
AHRQ-funded; HS017820.
Citation: Murphy DR, Thomas EJ, Meyer AN .
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
Radiology 2015 Oct;277(1):81-7. doi: 10.1148/radiol.2015142530..
Keywords: Cancer: Lung Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging
Deppen SA, Blume JD, Kensinger CD
Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis.
The purpose of this study was to estimate the diagnostic accuracy of positron emission tomography (PET) combined with fludeoxyglucose F18 (FDG) for pulmonary modules suspicious for lung cancer in regions where infectious lung disease is endemic and compare the accuracy in regions where such disease is rare. It found that the accuracy of FDG-PET was extremely heterogeneous.
AHRQ-funded; HS021554.
Citation: Deppen SA, Blume JD, Kensinger CD .
Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis.
JAMA 2014 Sep 24;312(12):1227-36. doi: 10.1001/jama.2014.11488..
Keywords: Cancer, Cancer: Lung Cancer, Diagnostic Safety and Quality, Respiratory Conditions, Imaging