Comparative analytics of infusion pump data across multiple hospital systems
Skip to main page content HOME CURRENT ISSUE PAST ISSUES SUPPLEMENTS REPRINTS ALERTS KEYWORDS GO Advanced Search ? AdvertisementComparative analytics of infusion pump data across multiple hospital systems Ann Christine Catlin, William X. Malloy?, Karen J. Arthur, Cindy Gaston, James Young, Sudheera Fernando and Ruchith Fernando Ann Christine Catlin, M.Sc., is Senior Research Scientist, Rosen Center for Advanced Computing, Purdue University, West Lafayette, IN. William X. Malloy, M.S., Pharm.D., BCPS, is Clinical Coordinator, Pharmacy; and Karen J. Arthur, Pharm.D., BCPS, is Medication Safety Program Manager, Roudebush Veterans Affairs Medical Center, Indianapolis, IN. Cindy Gaston, Pharm.D., BCPS, is Medication Use Policy Analyst, University of Wisconsin Hospital & Clinics, Madison. James Young, Pharm.D., CPHQ, is Quality Assurance/Performance Improvement Pharmacist, Eskenazi Health, Indianapolis. Sudheera Fernando, B.S., is Senior Software Engineer, Rosen Center for Advanced Computing; and Ruchith Fernando, Ph.D., is a graduate from the computer sciences department at Purdue University. Address correspondence to Dr. Malloy (william.malloy2{at}va.gov). Abstract Purpose A Web-based analytics system for conducting inhouse evaluations and cross-facility comparisons of alert data generated by smart infusion pumps is described. Summary The Infusion Pump Informatics (IPI) project, a collaborative effort led by research scientists at Purdue University, was launched in 2009 to provide advanced analytics and tools for workflow analyses to assist hospitals in determining the significance of smart-pump alerts and reducing nuisance alerts. The IPI system allows facility-specific analyses of alert patterns and trends, as well as cross-facility comparisons of alert data uploaded by more than 55 participating institutions using different types of smart pumps. Tools accessible through the IPI portal include (1) charts displaying aggregated or breakout data on the top drugs associated with alerts, numbers of alerts per device or care area, and override-to-alert ratios, (2) investigative reports that can be used to characterize and analyze pump-programming errors in a variety of ways (e.g., by drug, by infusion type, by time of day), and (3) “drill-down” workflow analytics enabling users to evaluate alert patterns—both internally and in relation to patterns at other hospitals—in a quick and efficient stepwise fashion. Conclusion The formation of the IPI analytics system to support a community of hospitals has been successful in providing sophisticated tools for member facilities to review, investigate, and efficiently analyze smart-pump alert data, not only within a member facility but also across other member facilities, to further enhance smart pump drug library design. Copyright ? 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.
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Twitter What's this? ? Previous | Next Article ? Table of Contents This Article doi: 10.2146/ajhp140424 American Journal of Health-System Pharmacy February 15, 2015 vol. 72 no. 4 317-324 ? Abstract Full Text Full Text (PDF) Classifications Print Content Medication-Use Technology Services Email this article to a colleague Alert me when this article is cited Alert me if a correction is posted Alert me when eLetters are published Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager eLetters Submit an eLetter No eLetters published Citing Articles Load citing article information Google Scholar Articles by Catlin, A. C. Articles by Fernando, R. PubMed PubMed citation Articles by Catlin, A. C. Articles by Fernando, R. Related Content Load related web page information Social Bookmarking CiteULike Delicious Digg Facebook Google+ Reddit Twitter What's this? Current Issue February 15, 2015, 72 (4) 
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