title: An evolutionary approach to the representation of adverse events.
abstract: One way to detect, monitor and prevent adverse events with the help of Information Technology is by using ontologies capable of representing three levels of reality: what is the case, what is believed about reality, and what is represented. We report on how Basic Formal Ontology and Referent Tracking exhibit this capability and how they are used to develop an adverse event ontology and related data annotation scheme for the European ReMINE project.
authors.affiliation: New York State Center of Excellence in Bioinformatics & Life Sciences, University of Buffalo, Buffalo, NY 14203, USA. ceusters@buffalo.edu
authors.forename: Werner
authors.initials: W
authors.lastname: Ceusters
authors.forename: Maria
authors.initials: M
authors.lastname: Capolupo
authors.forename: Barry
authors.initials: B
authors.lastname: Smith
authors.forename: Georges
authors.initials: G
authors.lastname: De Moor
mesh_terms: D005060:Europe; D006751:Hospital Information Systems; D019300:Medical Errors / Q000517:prevention & control; D016730:Program Development; D012308:Risk Management; D017751:Safety Management