title: Patient safety: detection and prevention of adverse drug events.
abstract: Adverse Drug Events (ADE) represent a key problem in Public Health. The detection and prevention of ADE is a real challenge for hospitals and healthcare professionals. Healthcare Information and Communication Technologies can contribute to reduce the incidence of preventable ADE. During this workshop, we will discuss the various aspects of detection of ADE through methods like data and semantic mining in medical databases; the possibility of preventing ADE by using clinical decision support systems; the importance of Human Factors Engineering and the contextualization of knowledge. Examples and demonstrations will come from the European Project PSIP, devoted to the detection and prevention of ADE in Hospitals.
authors.affiliation: University Hospital, INSERM CIC-IT807, UDSL, Lille, France. regis.beuscart@univ-lille2.fr
authors.forename: Régis
authors.initials: R
authors.lastname: Beuscart
authors.forename: Peter
authors.initials: P
authors.lastname: McNair
authors.forename: Stéfan J
authors.initials: SJ
authors.lastname: Darmoni
authors.forename: Vassilis
authors.initials: V
authors.lastname: Koutkia
authors.forename: Nicos
authors.initials: N
authors.lastname: Maglaveras
authors.forename: Marie-Catherine
authors.initials: MC
authors.lastname: Beuscart-Zephir
authors.forename: Christian
authors.initials: C
authors.lastname: Nohr
mesh_terms: D020000:Decision Support Systems, Clinical; D004493:Education; D006801:Humans; D008508:Medication Errors / Q000517:prevention & control*; D011634:Public Health; D011787:Quality of Health Care; D017751:Safety Management / Q000379:methods*