OHDSI

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The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics. All our solutions are open-source. OHDSI has established an international network of researchers and observational health databases with a central coordinating center housed at Columbia University. Our Mission To improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. Our Vision A world in which observational research produces a comprehensive understanding of health and disease. Our Objectives Innovation: Observational research is a field that will benefit greatly from disruptive thinking. We actively seek and encourage fresh methodological approaches in our work. Reproducibility: Accurate, reproducible, and well-calibrated evidence is necessary for health improvement. Community: Everyone is welcome to actively participate in OHDSI, whether you are a patient, a health professional, a researcher, or someone who simply believes in our cause. Collaboration: We work collectively to prioritize and address the real-world needs of our community’s participants. Openness: We strive to make all our community’s proceeds open and publicly accessible, including the methods, tools and the evidence that we generate. Beneficence: We seek to protect the rights of individuals and organizations within our community at all times.

Company Details

Employees
72
Founded
-
Address
622 West 168th Street, Ph-20, New York,ny 10032,united States
Industry
Research Services
Website
ohdsi.org
Keywords
Collaborative Research, Software Development, Data Network, Observational Research, Health Data, Open Science, Real World Evidence.
HQ
New York, NY
Competitors
EPSRC, Odysseus Data Services, Tufts Medical Center, OHDSI Belgium, OHDSI India Chapter, IMI_EHDEN, Health Data Research UK (HDR UK), SciForce, IQVIA, International Society for Pharmacoepidemiology.
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