Call for papers - First International Workshop on Drug Interaction Knowledge Representation (DIKR-2014)

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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)

-- 
Richard D Boyce, PhD
Assistant Professor of Biomedical Informatics
Faculty, Center for Pharmaceutical Policy and Prescribing
Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and Training Program
University of Pittsburgh
rdb20@pitt.edu
Office: 412-648-9219
Twitter: @bhaapgh

Received on Wednesday, 21 May 2014 11:47:37 UTC