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

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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.

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Journal

Journal ID (iso-abbrev): Stud Health Technol Inform

Title: Studies in health technology and informatics

ISSN: 0926-9630

ISSN (Print): 0926-9630

Publication date (Electronic): 2015

Volume: 216

Affiliations

[1 ] Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.

[2 ] Regenstrief Institute, Indianapolis, IN, USA.

[3 ] Center for Biomedical Informatics Research, Stanford University, CA, USA.

[4 ] AstraZeneca PLC, Waltham, MA, USA.

[5 ] NIH Clinical Center, Bethesda, MD, USA.

[6 ] Centre for Safe Medication Practice and Research, Dept. of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong.

[7 ] Dept. of Biomathematics & Dept. of Human Genetics, David Geffen School of Medicine, Uni. of California, Los Angeles, CA, USA.

[8 ] Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.

[9 ] Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

[10 ] School of Pharmacy and Medical Sciences, University of South Australia, Australia.

[11 ] Uppsala Monitoring Centre, WHO Collaborating Centre for International Drug Monitoring, Uppsala, Sweden.

[12 ] College of Medical Science and Technology (CoMST), Taipei Medical University, Taipei, Taiwan.

[13 ] Janssen Research & Development, LLC, Titusville, NJ, USA.

[14 ] Department of Statistics, Columbia University, New York, NY, USA.

Article

Mid ID: NIHMS771006

DOI: 10.3233/978-1-61499-564-7-574

PMC ID: 4815923

PubMed ID: 26262116

SO-VID: 4bc88807-64b2-4e51-bd54-9597fce95e57

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