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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 2 of 2 Research Studies DisplayedLevy AE, Shah NR, Matheny ME
Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: implications for natural language processing tools.
The authors investigated whether Natural Language Processing (NLP) tools could potentially help estimate myocardial perfusion imaging (MPI) risk. Subjects were VA patients who underwent stress MPI and coronary angiography 2009-11; stress test reports were randomly selected for analysis. The authors found that post-test ischemic risk was determinable but rarely reported in this sample of stress MPI reports. They conclude that this supports the potential use of NLP to help clarify risk and recommend further study of NLP in this context.
AHRQ-funded; HS022998.
Citation: Levy AE, Shah NR, Matheny ME .
Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: implications for natural language processing tools.
J Nucl Cardiol 2019 Dec;26(6):1878-85. doi: 10.1007/s12350-018-1275-y..
Keywords: Imaging, Risk, Clinical Decision Support (CDS), Health Information Technology (HIT), Diagnostic Safety and Quality, Cardiovascular Conditions, Heart Disease and Health
Mills J, Thomas A
AHRQ Author: Mills J
Risk assessment for cardiovascular disease with nontraditional risk factors.
This case study considers a 46-year-old Asian American woman who is concerned about risk of cardiovascular disease because of her new, less active working conditions. She has no personal history of hypertension or hypercholesterolemia, but does have a family history. The case study questions are based on USPSTF recommendations for nontraditional cardiovascular risk factors for CVD in asymptomatic adults.
AHRQ-authored.
Citation: Mills J, Thomas A .
Risk assessment for cardiovascular disease with nontraditional risk factors.
Am Fam Physician 2019 Jan 15;99(2):123-24.
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Keywords: Cardiovascular Conditions, Case Study, Diagnostic Safety and Quality, Risk, U.S. Preventive Services Task Force (USPSTF)