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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 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
Hoonakker PLT, Carayon P, Salwei ME
The design of PE Dx, a CDS to support pulmonary embolism diagnosis in the ED.
One possible explanation for user resistance to clinical decision support (CDS) procedures may be poor CDS design. This study describes the design of PE Dx, a CDS built to aid in the diagnosis of pulmonary embolism in the emergency department using human factors methods.
AHRQ-funded; HS022086.
Citation: Hoonakker PLT, Carayon P, Salwei ME .
The design of PE Dx, a CDS to support pulmonary embolism diagnosis in the ED.
Stud Health Technol Inform 2019 Aug 9;265:134-40. doi: 10.3233/shti190152..
Keywords: Blood Clots, Clinical Decision Support (CDS), Shared Decision Making, Diagnostic Safety and Quality, Emergency Department, Respiratory Conditions