@article{leroy_toward_2009,
	title = {Toward automatic detection and prevention of adverse drug events},
	volume = {143},
	copyright = {All rights reserved},
	issn = {0926-9630},
	url = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_itch_towardautomaticdetection.pdf},
	abstract = {Adverse Drug Events (ADE) due to medication errors and human factors are a major public health issue. They endanger patient safety and cause considerable extra healthcare costs. The European project PSIP (Patient Safety through Intelligent Procedures in medication) aims to identify and prevent ADE. Data mining of the structured hospital data bases will give a list of observed ADE with frequencies and probabilities, thereby giving a better understanding of potential risks. The main objective of the project is to develop innovative knowledge based on the mining results and to deliver to professionals and patients, in the form of alerts and decision support functions, a contextualized knowledge fitting the local risk parameters.},
	language = {eng},
	journal = {Studies in health technology and informatics},
	author = {Leroy, Nicolas and Chazard, Emmanuel and Beuscart, Régis and Beuscart-Zephir, Marie Catherine and {Psip Consortium}},
	year = {2009},
	pmid = {19380911},
	keywords = {Decision Support Systems, Clinical, Denmark, Drug Toxicity, France, Hospital Information Systems, Humans, Medical Audit},
	pages = {30--35},
}

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