@inproceedings{6a382b15fbe344778b053657bc4090c8,
title = "Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers",
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.",
keywords = "Databases, Health Services Research, Observation",
author = "George Hripcsak and Duke, {Jon D.} and Shah, {Nigam H.} and Reich, {Christian G.} and Vojtech Huser and Schuemie, {Martijn J.} and Suchard, {Marc A.} and Park, {Rae Woong} and Wong, {Ian Chi Kei} and Rijnbeek, {Peter R.} and {Van Der Lei}, Johan and Nicole Pratt and Nor{\'e}n, {G. Niklas} and Li, {Yu Chuan} and Stang, {Paul E.} and David Madigan and Ryan, {Patrick B.}",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-574",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "574--578",
editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",
booktitle = "MEDINFO 2015",
}