- From: Richard Boyce <rdb20@pitt.edu>
- Date: Wed, 21 May 2014 07:47:10 -0400
- To: "public-semweb-lifesci@w3.org" <public-semweb-lifesci@w3.org>
Apologies for cross-posting Please forward this message to colleagues in the areas of interest 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