Company intelligence
OHDSI
About OHDSI
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.
Verified activity
Signals from OHDSI
8 published signals
Research & Knowledge
OHDSI published final results from a European Health Data and Evidence Network (EHDEN) study assessing the incidence of heavy menstrual bleeding and co-occurring conditions from almost 4 million women across 7 countries in Europe and North America.
Reported by OHDSI
Research & Knowledge
OHDSI published the OMOPCAN Project, a proof-of-concept using real-world data mapped to the Observational Medical Outcomes Partnership common data model to support monitoring of cancer epidemiology and patient characteristics.
Reported by OHDSI
Research & Knowledge
OHDSI published a study applying sequence symmetry analysis to Danish and Dutch register data from the Integrated Primary Care Information (IPCI) database to investigate differences and added benefits of cross-national research projects for adverse drug reaction detection.
Reported by OHDSI
Research & Knowledge
OHDSI published a study developing and validating a scalable clinical approach to extract ECOG performance status from unstructured EHR notes, standardise heterogeneous representations, reduce redundancy, and generate analysis-ready ECOG data for large-scale observational research and OMOP Common Data Model harmonisation.
Reported by OHDSI
Research & Knowledge
OHDSI Network Study Replicates and Extends Orayj's Analysis on Antidepressant Cardiovascular Safety in Parkinson's Disease Using Real-World Data
Reported by OHDSI
Research & Knowledge
OHDSI published a brief report on the harmonization strategy applied to the Portuguese Reuma.pt registry and the Dutch DEPAR4 cohort.
Reported by OHDSI
Presence & Recognition
OHDSI published the Summer 2026 Vocabulary Standardized Release featuring highlights from the Oncology Working Group, CDM 5.5 support, rare disease vocabularies, and RxNorm Extension maintenance.
Reported by OHDSI
Research & Knowledge
OHDSI evaluated the completeness of breastfeeding records in the Information System for Research in Primary Care (SIDIAP) in Catalonia, Spain.
Reported by OHDSI