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Updated: Apr 18, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Comparative analytics of infusion pump data across multiple hospital systems
Ann Christine Catlin1, William X Malloy2, Karen J Arthur1
1Ann 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.
The Infusion Pump Informatics (IPI) system provides advanced analytics for smart infusion pump alerts. This helps hospitals analyze and reduce nuisance alerts, improving drug library design and patient safety.
Area of Science:
- Medical Informatics
- Health Systems Engineering
Background:
- Smart infusion pumps generate numerous alerts, often leading to nuisance alarms.
- Hospitals need effective tools to analyze alert data and optimize pump programming.
Purpose of the Study:
- To describe a web-based analytics system for evaluating smart infusion pump alert data.
- To facilitate in-house evaluations and cross-facility comparisons of alert patterns.
Main Methods:
- Development of the Infusion Pump Informatics (IPI) system, launched in 2009.
- Utilizing facility-specific and cross-facility analyses of alert data from over 55 institutions.
- Providing tools for aggregated data charts, investigative reports, and drill-down workflow analytics.
Main Results:
- The IPI system enables analysis of top alert-associated drugs, alert frequency, and override-to-alert ratios.
- Investigative reports allow detailed characterization of pump-programming errors.
- Workflow analytics facilitate efficient evaluation of alert patterns internally and across facilities.
Conclusions:
- The IPI analytics system successfully supports a community of hospitals.
- Provides sophisticated tools for reviewing and analyzing smart infusion pump alert data.
- Enhances smart pump drug library design through data-driven insights and comparisons.
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