Clinician Satisfaction With Advanced Clinical Decision Support to Reduce the Risk of Torsades de Pointes

From the ∗Division of Clinical Data Analytics and Decision Support, University of Arizona College of Medicine—Phoenix

†Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy

‡Department of Medical Toxicology, Banner – University Medical Center Phoenix, Phoenix

§Arizona Center for Education and Research on Therapeutics (AZCERT), Oro Valley, Arizona

∥College of Pharmacy, Purdue University

¶Division of Clinical Pharmacology, School of Medicine, Indiana University, Indianapolis, Indiana

∗∗BannerHealth, Greeley, Colorado

††Community and Health Systems Science Division, College of Nursing, University of Arizona, Tucson, Arizona

‡‡College of Pharmacy, University of Utah, Salt Lake City, Utah.

Correspondence: Daniel C. Malone, RPh, PhD, Department of Pharmacotherapy, LS Skaggs Institute for Pharmacy, University of Utah Salt Lake City; 30 S 2000 E, UT 84112 (e-mail: [email protected]).

All authors received grant funding from the Agency for Healthcare Research and Quality, T.G., C.W.H., R.L.W., and C.C.A. received grant funding from the Flinn Foundation, and R.L.W. received grant funding from the U.S. Food and Drug administration for his work on this project.

Supplemental digital contents are available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.journalpatientsafety.com).

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