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Methods for adverse events representation
Ontology and Information Model

July 22nd 2012, Graz, Austria


A variety of information systems are used to record and process adverse event reports. Recently there have been efforts to build ontology to assist in the representation, retrieval, and assessment of adverse event reports. Still, a question remains about how the ontology might be used in conjunction with new and existing information models. For example, are ontology terms to be added to records as keywords for retrieval? Or should information models be revised in the light of a more careful ontological analysis, earlier explored knowledge representation systems, or emerging standards for web semantics. This Workshop solicits participants who have experience that can shed light on these questions, or who actively develop adverse event reporting systems and can serve to evaluate feasibility and utility of workshop proposals. Specific areas of interest are:

  • Existing information models, their strengths, weaknesses, and competency criteria.
  • Ongoing efforts to build new information models for adverse event reporting or analysis.
  • Case studies demonstrating information systems that integrate ontology in clinical systems.
  • Reports of new developments in adverse event ontology.
All workshop attendees will be expected, at the workshop, to present either descriptions of their work or to articulate a position. In addition a number of participants will be selected to lead interactive sessions on focused topics.

DELIVERABLES: The goal is to bring together workshop attendees with the aim of setting a research agenda for upcoming work on adverse events reporting systems. Attendees will:
  • Develop a clear description of the problem space with examples to demonstrate the challenges encountered in clinical practice.
  • Hear about ongoing research in adverse event surveillance and analysis.
  • Review and assess ontologies being developed to represent and assess adverse events.
  • Share practical experience with researchers working in this and related areas.
  • Document successes and challenges in ontology based information models.

PAPERS: Selected papers will be invited to submit an extended version to the Journal of Biomedical Semantics, for publication as best papers. Note that those papers will undergo an additional round of revision pre-publication, and authors will be responsible for open-access processing costs.



Sivaram Arabandi
Elsevier Health Sciences

Mélanie Courtot
BC Cancer Research Centre

Albert Goldfain
Blue Highway, Inc

Chimezie Ogbuji
Case Western Reserve University

Alan Ruttenberg
University at Buffalo