Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J. Schuemie, Marc A. Suchard, Rae Woong Park, Ian Chi Kei Wong, Peter R. Rijnbeek, Johan Van Der Lei, Nicole Pratt, G. Niklas Norén, Yu Chuan Li, Paul E. Stang, David Madigan, Patrick B. Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

192 Citations (Scopus)

Abstract

The vision of creating accessible, reliable clinical evidence by accessing the clincial experience of hundreds of millions of patients across the globe is a reality. Observational Health Data Sciences and Informatics (OHDSI) has built on learnings from the Observational Medical Outcomes Partnership to turn methods research and insights into a suite of applications and exploration tools that move the field closer to the ultimate goal of generating evidence about all aspects of healthcare to serve the needs of patients, clinicians and all other decision-makers around the world.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages574-578
Number of pages5
Volume216
ISBN (Print)9781614995630
DOIs
Publication statusPublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • Databases
  • Health Services Research
  • Observation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Hripcsak, G., Duke, J. D., Shah, N. H., Reich, C. G., Huser, V., Schuemie, M. J., Suchard, M. A., Park, R. W., Wong, I. C. K., Rijnbeek, P. R., Van Der Lei, J., Pratt, N., Norén, G. N., Li, Y. C., Stang, P. E., Madigan, D., & Ryan, P. B. (2015). Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. In Studies in Health Technology and Informatics (Vol. 216, pp. 574-578). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-574