C Greg Elliott

University of Utah, Salt Lake City, Utah, United States

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Publications (2)2.39 Total impact

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    ABSTRACT: Background: An explicit approach to warfarin dose adjustment using computerized clinical decision support (CDS) improves warfarin management. We report metrics of quality for warfarin management before and after implementation of CDS in a large health care system. Methods: A total of 2591 chronically anticoagulated patients were eligible for inclusion. We compared interpatient time in therapeutic range (TTR) and international normalized ratio (INR) variability before and after implementation of CDS. We report outcomes of major bleeding, thrombosis, and health care utilization. Results: Implementation of CDS significantly improved TTR (from 63.99% to 65.13%; P = .04) and reduced out-of-range INRs (from 42.39% to 39.97%; P < .001). Venous thromboembolism (relative risk [RR] 0.41; P < .001) emergency department utilization (RR 0.62; P < .001), and hospitalization (RR 0.62; P < .001) were reduced after CDS implementation. Major hemorrhage was more frequent after CDS implementation (RR 1.42; P = .01). Conclusion: The CDS warfarin management was associated with improved TTR and decreased INR variability in a large cohort of chronically anticoagulated patients. Clinically relevant outcomes were broadly improved, although more bleeding events were observed.
    No preview · Article · Sep 2014 · Clinical and Applied Thrombosis/Hemostasis
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    ABSTRACT: Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), may be the number one preventable cause of death associated with hospitalization. Numerous evidence-based guidelines for effective VTE prophylaxis therapy exist. However, underuse is common due to the difficulty in integrating VTE risk assessment into routine patient care. Previous studies utilizing computer decision support to identify high-risk patients report improved use of prophylaxis therapy and reduced VTE. However, those studies did not report the sensitivity, specificity or positive predictive value of their methods to identify patients at high risk. We report an evaluation of a computerized tool to identify patients at high risk for VTE that found a sensitivity of 98% and positive predictive value of 99%. Another computer program used to detect VTE had a sensitivity of 92%, specificity of 99% and a positive predictive value of 97% to identify DVT and a sensitivity of 100%, specificity of 98% and positive predictive value of 89% to identify PE. These tools were found to provide a dependable method to identify patients at high risk for and with VTE.
    Full-text · Article · Jan 2010 · AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium