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

研究成果: 書貢獻/報告類型會議貢獻

281 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
主出版物標題Studies in Health Technology and Informatics
發行者IOS Press
頁面574-578
頁數5
216
ISBN(列印)9781614995630
DOIs
出版狀態已發佈 - 2015
事件15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, 巴西
持續時間: 八月 19 2015八月 23 2015

出版系列

名字Studies in Health Technology and Informatics
216
ISSN(列印)09269630
ISSN(電子)18798365

其他

其他15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
國家巴西
城市Sao Paulo
期間8/19/158/23/15

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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