Monitoring pharmacy expert system performance using statistical process control methodology.

Joshua A. Doherty, Richard M. Reichley, Laura A. Noirot, Ervina Resetar, Michael R. Hodge, Robert D. Sutter, Wm Claiborne Dunagan, Thomas C. Bailey

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence on expert systems increase and the systems become more complex, it is important to closely monitor their performance. Failure to generate alerts can jeopardize the health and safety of patients, while generating excessive false positive alerts can lead to valid alerts being dismissed as noise. In this study, statistical process control charts were used to monitor an expert system, and the strengths and weaknesses of this technology are presented.

Original languageEnglish
Pages (from-to)205-209
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003

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