Detection and Prevention of Adverse Drug Events: Information Technologies and Human Factors
Régis Beuscart, Werner Hackl, Christian Nøhr
IOS Press, 2009 - Medical - 225 pages
When someone enters hospital for examination or treatment, is given a doctors prescription, receives medication from a pharmacist or has his drugs administered by a nurse, he assumes that his health and welfare will benefit from this medical intervention. But the effectiveness of available therapies should also be viewed from the perspective of potentially negative consequences: adverse drug events (ADE).
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2009 The authors ADE detection administration adverse drug events Adverse Drug Reactions adverse events alerts analysis approach association rules ATC code authors and IOS Bates DW Beuscart Bevacizumab causes CDSS CISMeF cited 2009 february classification clinical context clinical decision support clinical rule complex Computer concepts CPOE system Danish data mining data model decision support systems decision trees defensive medicine design game diagnosis domain effect Electronic Health Records European evaluation Figure framework guidelines hospital stays Human Factors identify implementation Informatics information systems integration interactions IOS Press knowledge engineering lab results Lenolidamide litigation medication errors MeSH descriptors methods mining techniques nurses ontology outcome patient safety pharmacovigilance physician order entry potential ADE practice prescribing Procedures in medication PSIP project relevant ReMINE reporting repository risk semantic mining Seventh Framework Programme SNOMED CT specific step taxonomy technology-induced errors terminology tool validation