Rainer Winnenburg

Current Research Interests

My research focuses on various aspects of interoperability of biomedical data, including terminologies and ontologies, derived artifacts, such as value sets, and clinical datasets, using Semantic Web technologies. I have developed a framework and workflows based on terminology integration systems, such as the UMLS and RxNorm, to analyze and compare value sets used for clinical quality measures. More recent applications include analyzing co-prescription data in electronic health records from the perspective of drug-drug interactions, alignment and comparison of drug information sources, and extraction and characterization of drug adverse events from MEDLINE indexing.

Current Research Projects:

Advancing Pharmacovigilance mining the Biomedical Literature

Papers:

  • Rainer Winnenburg, Alfred Sorbello, Olivier Bodenreider: Exploring adverse drug events at the class level, In J Biomed Semantics, accepted, 2015.
  • Rainer Winnenburg, Alfred Sorbello, Anna Ripple, Rave Harpaz, Joseph Tonning, Ana Szarfman, Henry Francis, Olivier Bodenreider: Leveraging MEDLINE indexing for pharmacovigilance – inherent limitations and mitigation strategies, In Journal of Biomedical Informatics, accepted, 2015.
  • Rave Harpaz, David Odgers, Greg Gaskin, William DuMouchel, Rainer Winnenburg, Olivier Bodenreider, Anna Ripple, Ana Szarfman, Alfred Sorbello, Eric Horvitz, Ryen W White, Nigam H Shah: A time-indexed reference standard of adverse drug reactions, In Scientific data, 2014.

Ontology aided Phenotyping

Papers:

Harmonizing drug class definitions across sources

Papers:

Quality Measures in clinical care

Papers: