Richard Boyce, University of Pittsburgh
Department of Biomedical Informatics
Product labeling
Scientific literature
A framework for representing PDDI
assertions and evidence as interoperable
Linked D...

•
– http://dbmi-icode-01.dbmi.pitt.edu/linkedSPLs/
•
•
•
–
•
–
PDDI information mashups
http://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/outfiles-poc-10252012/dikb-label-mashup-citalopr...
http://www.openannotation.org/spec/core/
Drug Interaction Knowledge Base (DIKB) 
Open Data Anotation + Scientific Discourse
• See• >300 evidence sources
• >1500 l...
Work in progress…
A pipeline for the extraction PDDIs from SPLs and publishing
them as semantically annotated Linked Data
Potential for PDDI semantic annotation
dissemination
• As Linked Data, it automatically extends
– DrugBank, ChEBI, RxNorm,...
•
•
•
•
•
Brief update to W3C HCLS on representing and linking potential drug-drug interaction knowledge
Brief update to W3C HCLS on representing and linking potential drug-drug interaction knowledge
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Brief update to W3C HCLS on representing and linking potential drug-drug interaction knowledge

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  • I am very privileged to have been invited to speak at your seminar. I would like to thank Dr. Lang Li for inviting me and all those who have helped arrange my visit. The title of my talk is….
  • Annotations in the data model are a set of RDF resources that connect some target to a set of resources that are in some way about it.
  • Highlight links by URIs of the objects, the complementary information
  • Annotations in the data model are a set of RDF resources that connect some target to a set of resources that are in some way about it.
  • Brief update to W3C HCLS on representing and linking potential drug-drug interaction knowledge

    1. 1. Richard Boyce, University of Pittsburgh Department of Biomedical Informatics
    2. 2. Product labeling Scientific literature A framework for representing PDDI assertions and evidence as interoperable Linked Data available for community annotation Pharmacoepidemiology studies Semantic annotation High priority PDDIs for research Semantic annotation Reduced risk of a PDDI medication error! Clinical experience Better synthesis of PDDI evidence, easier identification of gaps Expected benefits: • More complete and accurate PDDI evidence • Better informed pharmacists and other clinicians • More effective PDDI alerting and decisions support systems
    3. 3.  • – http://dbmi-icode-01.dbmi.pitt.edu/linkedSPLs/ • • • – • –
    4. 4. PDDI information mashups http://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/outfiles-poc-10252012/dikb-label-mashup-citalopram-001714c1- a292-40be-bfbd-0ff67193ace6.html
    5. 5. http://www.openannotation.org/spec/core/
    6. 6. Drug Interaction Knowledge Base (DIKB)  Open Data Anotation + Scientific Discourse • See• >300 evidence sources • >1500 links to ~1300 assertions A production rule base for inferring pharmacokinetic PDDIs DIKB: http://dbmi-icode-01.dbmi.pitt.edu/dikb/ Initial conversion (not ready for release): http://swat-4-med-safety.googlecode.com/svn/trunk/analyses/dikb-open-annotation/
    7. 7. Work in progress… A pipeline for the extraction PDDIs from SPLs and publishing them as semantically annotated Linked Data
    8. 8. Potential for PDDI semantic annotation dissemination • As Linked Data, it automatically extends – DrugBank, ChEBI, RxNorm, NDF-RT • A user friendly knowledge base portal – Currently testing Domeo: http://swan.mindinformatics.org/ – Enables community annotation and scientific discourse • Other possibilities: – The FDAs SPL indexing initiative • Could guide future requirements for SPL submissions • Complements our work on representing pharmacogenomics clinical statements [18]
    9. 9. • • • • •
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