title: Evaluating the potential effectiveness of using computerized information systems to prevent adverse drug events.
abstract: In this study a dynamic computer simulation model is used to estimate the effectiveness of various information systems applications designed to detect and prevent medication errors that result in adverse drug events (ADEs). The model simulates the four stages of the drug ordering and delivery system: prescribing, transcribing, dispensing and administering drugs. In this study we simulated interventions that have been demonstrated in prior studies to decrease error rates. The results demonstrated that a computerized information system that detected 26% of medication errors and prevented associated ADEs could save 1,226 days of excess hospitalization and $1.4 million in hospital costs annually. Those results suggest that such systems are potentially a cost-effective means of preventing ADEs in hospitals. The results demonstrated the importance of viewing adverse drug events from a systems perspective. Prevention efforts that focus on a single stage of the process had limited impact on the overall error rate. This study suggests that system-wide changes to the drug-ordering and delivery system are required to significantly reduce adverse drug events in a hospital setting.
authors.affiliation: Department of Sociology & Anthropology, Purdue University, West Lafayette, IN 47907, USA.
authors.forename: J G
authors.initials: JG
authors.lastname: Anderson
authors.forename: S J
authors.initials: SJ
authors.lastname: Jay
authors.forename: M
authors.initials: M
authors.lastname: Anderson
authors.forename: T J
authors.initials: TJ
authors.lastname: Hunt
mesh_terms: D016303:Clinical Pharmacy Information Systems; D003198:Computer Simulation; D003199:Computer Systems; D064420:Drug-Related Side Effects and Adverse Reactions; D005069:Evaluation Studies as Topic; D006751:Hospital Information Systems; D006784:Hospitals, Teaching; D006801:Humans; D008508:Medication Errors / Q000145:classification / Q000706:statistics & numerical data; D010607:Pharmacy Service, Hospital