title: Using technology to prevent adverse drug events in the intensive care unit.
abstract: Critically ill patients are particularly susceptible to adverse drug events (ADEs) due to their rapidly changing and unstable physiology, complex therapeutic regimens, and large percentage of medications administered intravenously. There are a wide variety of technologies that can help prevent the points of failure commonly associated with ADEs (i.e., the five "Rights": right patient; right drug; right route; right dose; right frequency). These technologies are often categorized by their degree of complexity to design and engineer and the type of error they are designed to prevent. Focusing solely on the software and hardware design of technology may over- or underestimate the degree of difficulty to avoid ADEs at the bedside. Alternatively, we propose categorizing technological solutions by identifying the factors essential for success. The two major critical success factors are: 1) the degree of clinical assessment required by the clinician to appropriately evaluate and disposition the issue identified by a technology; and 2) the complexity associated with effective implementation. This classification provides a way of determining how ADE-preventing technologies in the intensive care unit can be successfully integrated into clinical practice. Although there are limited data on the effectiveness of many technologies in reducing ADEs, we will review the technologies currently available in the intensive care unit environment. We will also discuss critical success factors for implementation, common errors made during implementation, and the potential errors using these systems.
authors.affiliation: Department of Research and Product Marketing, Philips VISICU, Baltimore, MD, USA.
authors.forename: Erkan
authors.initials: E
authors.lastname: Hassan
authors.forename: Omar
authors.initials: O
authors.lastname: Badawi
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Weber
authors.forename: Henry
authors.initials: H
authors.lastname: Cohen
mesh_terms: D001291:Attitude of Health Personnel; D001331:Automation; D004059:Diffusion of Innovation; D006801:Humans; D007362:Intensive Care Units / Q000458:organization & administration*; D008508:Medication Errors / Q000517:prevention & control*; D019095:Point-of-Care Systems; D017751:Safety Management / Q000379:methods*; D013678:Technology, Pharmaceutical / Q000295:instrumentation* / Q000379:methods*; D014481:United States