CFP First International Workshop on Drug Interaction Knowledge Representation (DIKR-2014) at the International Conference on Biomedical Ontologies (ICBO 2014)
Mathias Brochhausen
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CALL FOR PAPERS
First International Workshop on Drug Interaction Knowledge
Representation (DIKR-2014) at the International Conference on Biomedical
Ontologies (ICBO 2014)
October 6-7, 2014
Houston, USA
Website: https://sites.google.com/site/ddikrandir/home/dikr2014
OVERVIEW
The combination of poor quality evidence and a general lack of drug-drug
interaction (DDI) knowledge by persons who prescribe drugs results in
many thousands of preventable medication errors each year. While many
sources of DDI evidence exist to help improve prescriber knowledge, no
clinician-oriented meta-data standard currently exists. Such a standard
could enable a more effective synthesis of DDI evidence during tasks
such as consulting and guideline development.
The goal of this workshop is to bring clinical and ontology experts
together to discuss:
a) potential DDI knowledge representation solutions that reflect the
state-of-the-art of both the clinical understanding of DDIs and
biomedical ontology development,
b) how to best link DDI ontologies to pre-existing drug terminology
efforts, and
c) roadblocks to the adoption of ontology-driven solutions such as
coverage, usability, and scalability.
AREAS OF INTEREST TO THE WORKSHOP
- Previous and current drug-drug interaction ontology development efforts
- Competency questions and clinical, epidemiologic, and translational
use cases
- Approaches to representing drug-drug interaction evidence and
scientific discourse
- Drug-drug interaction ontology maintenance
- How to move toward an international standard for representing and
sharing drug-drug interaction knowledge
VENUE AND FORMAT
The authors of accepted papers will present 15 minute talks followed by
brief discussions. Following papers presentations, an interdisciplinary
panel will lead a moderated discussion focusing on prioritizing research
challenges. All workshop participants will provide input and help guide
the discussion using a live survey system. Accepted papers and a summary
of the moderated discussion will be published in the proceedings and
made available at CEUR (http://ceur-ws.org/).
INTENDED AUDIENCE
- Anyone with an interest in how information systems can best represent
and share drug-drug interaction knowledge for clinically oriented
applications. These might include:
- Clinical and translational scientists who focus on drug safety
- Terminology and ontology developers or users
- Clinical decision support developers or users
- Natural Language Processing researchers
- Drug compendium developers or editors
- Regulatory scientists
IMPORTANT DATES
Paper Submission deadline: August 4, 2014
Notification of paper acceptance: August 25, 2014
PAPER SUBMISSION
Papers describing original research or novel applications are welcome.
All papers be peer reviewed to assess the quality of scientific method
and potential for the work to advance DDI knowledge representation
beyond existing methods or technologies.
Papers should be between 5 - 10 pages long excluding references. Please
use Springer's Lecture Notes in Computer Science (LNCS) templates:
Springer Author Guidelines (pdf): http://bit.ly/1m3C9tP
Springer LNCS template files: http://bit.ly/1nejsYb
Submit manuscripts to the Easy Chair submission site:
https://www.easychair.org/conferences/?conf=dikr2014
ORGANIZERS
Richard D. Boyce (University of Pittsburgh)
Mathias Brochhausen (University of Arkansas for Medical Sciences)
Philip Empey (University of Pittsburgh)
William R. Hogan (University of Arkansas for Medical Sciences)
Daniel Malone (University of Arizona)
SCIENTIFIC COMMITTEE
Richard D. Boyce (University of Pittsburgh)
Mathias Brochhausen (University of Arkansas for Medical Sciences)
Michel Dumontier (Stanford University)
Jon Duke (Regenstrief Institute)
Philip Empey (University of Pittsburgh)
William R. Hogan (University of Arkansas for Medical Sciences)
Daniel Malone (University of Arizona)
Alan Ruttenberg (University at Buffalo)
David Weinstein (Wolters Kluwer Health)
SUPPORTED BY
This project is supported by a grant from the National Library of
Medicine: "Addressing gaps in clinically useful evidence on drug-drug
interactions" (1R01LM011838-01)