title: Adverse drug event notification on a semantic interoperability framework.
abstract: Adverse drug events (ADEs) are common, costly and one of the most important issues in contemporary pharmacotherapy. Current drug safety surveillance methods are largely based on spontaneous reports. However, this is known to be rather ineffective. There is a lack of automated systems checking potential ADEs on routine data captured in electronic health records (EHRs); present systems are usually built directly on top of specific clinical information systems through proprietary interfaces. In the context of the European project "SALUS", we aim to provide an infrastructure as well as a tool-set for accessing and analyzing clinical patient data of heterogeneous clinical information systems utilizing standard methods. This paper focuses on two components of the SALUS architecture: The "Semantic Interoperability Layer" (SIL) enables an access to disparate EHR sources in order to provide the patient data in a common data model for ADE detection within the "ADE Detection and Notification Tool" (ANT). The SIL in combination with the ANT can be used in different clinical environments to increase ADE detection and reporting rates. Thus, our approach promises a profound impact in the domain of pharmacovigilance.
authors.affiliation: OFFIS - Institute for Information Technology, Oldenburg, Germany.
authors.forename: Tobias
authors.initials: T
authors.lastname: Krahn
authors.affiliation: OFFIS - Institute for Information Technology, Oldenburg, Germany.
authors.forename: Marco
authors.initials: M
authors.lastname: Eichelberg
authors.affiliation: OFFIS - Institute for Information Technology, Oldenburg, Germany.
authors.forename: Frerk
authors.initials: F
authors.lastname: Müller
authors.affiliation: SRDC - Software Research and Development Center.
authors.forename: Suat
authors.initials: S
authors.lastname: Gönül
authors.affiliation: SRDC - Software Research and Development Center.
authors.forename: Gokce B
authors.initials: GB
authors.lastname: Laleci Erturkmen
authors.affiliation: SRDC - Software Research and Development Center.
authors.forename: A Anil
authors.initials: AA
authors.lastname: Sinaci
authors.affiliation: University of Oldenburg, Department of Computer Science.
authors.forename: H-Jürgen
authors.initials: HJ
authors.lastname: Appelrath
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000458:organization & administration*; D057286:Electronic Health Records / Q000458:organization & administration*; D005060:Europe; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D012660:Semantics; D012984:Software; D012985:Software Design; D018875:Vocabulary, Controlled