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Translational Informatics Applied to Drug Safety (TrIADS)

Translational Informatics Applied to Drug Safety (TrIADS). Richard D. Boyce, PhD Associate Professor Department of Biomedical Informatics University of Pittsburgh Faculty, Center for Pharmaceutical Policy and Prescribing

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Translational Informatics Applied to Drug Safety (TrIADS)

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  1. Translational Informatics Applied to Drug Safety (TrIADS) Richard D. Boyce, PhD Associate Professor Department of Biomedical Informatics University of Pittsburgh Faculty, Center for Pharmaceutical Policy and Prescribing Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and Training Program

  2. A new paradigm for drug-drug and drug-natural product interaction evidence and knowledge NLM R01LM011838 Dynamic enhancements Scientific literature Product labeling Semantic annotation pipeline Knowledge curation Aim 1 • Data driven: • Synthesis of public PDDI sources • Expert: • Web-based scientific discourse A framework for representing PDDI assertions and evidence as interoperable Linked Data available for community annotation Aim 2 Aim 3 More efficient synthesis of PDDI evidence, easier identification of gaps Reduced risk of a PDDI medication error! • Expected benefits: • More complete and accurate PDDI evidence • Better informed pharmacists and other clinicians • More effective PDDI alerting and decisions support systems

  3. Interventions that improve drug safety for older adults NIA K01AG044433 Automated Observational Health Data Sciences and Informatics (OHDSI) LAERTES project Patient Specific Actionable

  4. Research and Clinical Impact • Google scholar h-index: 16 • Selected Publication • AyvazS, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD, Toward a complete dataset of drug-drug interaction information from publicly available sources, Journal of Biomedical Informatics. 55 (2015), 206-217. DOI:10.1016/j.jbi.2015.04.006. http://www.sciencedirect.com/science/article/pii/S1532046415000738# PMCID: PMC4464899. • Boyce RD, Handler SM, Karp JF, Perera S, Reynolds CF 3rd. Preparing Nursing. Home Data from Multiple Sites for Clinical Research - A Case Study Using Observational Health Data Sciences and Informatics. eGEMS (Generating Evidence & Methods to improve patient outcomes). 2016 Oct 26;4(1):1252. PubMed PMID: 27891528. PMCID: PMC5108634. DOI: http://dx.doi.org/10.13063/2327-9214.1252 Available at: http://repository.edm-forum.org/egems/vol4/iss1/21 • Boyce, RD., Voss, E., Huser, V., Evans, L., Reich, C., Duke, JD., Tatonetti, NP., Lorberbaum, T., Dumontier, M., Hauben, M., Wallberg, M., Peng, L., Dempster, S., He, O., Sena, A., Koutkias, V., Natsiavas, P., Ryan, P. (Knowledge Base workgroup of the Observational Health Data Sciences and Informatics (OHDSI) collaborative). Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. J Biomed Semantics. 2017 Mar 7;8(1):11. doi: 10.1186/s13326-017-0115-3. PubMed PMID: 28270198; PubMed Central PMCID: PMC5341176.Inventions • “Pharmacogenomics Information System”, University of Pittsburgh Invention Disclosure Number 03041. 2013 • “An automated multifactorial patient-specific fall risk intervention designed for the nursing home setting that includes consideration of potential drug-drug interactions”, University of Pittsburgh Invention Disclosure Number: 03647. 2015

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