title: Navigating the information technology highway: computer solutions to reduce errors and enhance patient safety.
abstract: Standardized, seamless, integrated information technology in the health-care environment used with other industry tools can markedly decrease preventable errors or adverse events and increase patient safety. According to an Institute of Medicine (IOM) report released in 1999, preventable errors have caused between 44,000 and 98,000 deaths per year. Following the report, President Bill Clinton requested that the Agency of Healthcare Research and Quality, a government agency, look into the issue and fund, at the local or state level, processes that can reduce errors. Funding subsequently was made available for research that utilizes best practice tools in clinical practice to increase patient safety. The Joint Commission on Accreditation of Healthcare Organization has placed a great deal of emphasis on strategies to reduce patient identification errors. Fragmented systems tout the individual as well as enhanced safety applications. These applications, however, are related to prevention in specific conditions and in specific health-care settings. Systems are not integrated with common reference data and common terminology aggregated at a regional or national level to provide access to patient safety risks for timely interventions before errors and adverse events occur. Standardized integrated patient care information systems are not available either on a regional or on a national level. This article examines tangible options to increase patient safety through improved state-of-the-art tools that can be incorporated into the health-care system to prevent errors.
authors.affiliation: University Hospital/New Jersey Medical School, UMDNJ, Newark, NJ 07103-2406, USA.
authors.forename: Ranie
authors.initials: R
authors.lastname: Koshy
mesh_terms: D000068:Accreditation; D001803:Blood Transfusion; D003365:Costs and Cost Analysis; D016208:Databases, Factual; D003878:Dermatoglyphics; D011307:Drug Prescriptions; D005544:Forecasting; D005568:Forms and Records Control; D006801:Humans; D019300:Medical Errors / Q000517:prevention & control*; D008490:Medical Informatics / Q000458:organization & administration / Q000639:trends; D016347:Medical Records Systems, Computerized; D008962:Models, Theoretical; D010355:Patient Identification Systems; D017751:Safety Management / Q000191:economics / Q000379:methods*; D065227:Transfusion Reaction; D014481:United States; D014486:United States Food and Drug Administration