Observational Health Data Sciences and Informatics (OHDSI) is a public initiative independent of IQVIA. As an international research community that promotes open-science, stakeholders work collaboratively to conduct outcomes-based research at scale.
OHDSI standardizes the way research is performed using standard analytical methods, tools and the OMOP Common Data Model (CDM) and Standardized Vocabularies.
The OMOP common data model transforms observational health data into a common format that allows real world evidence to be generated using OHDSI standardized analytical methods and tools.
With the OHDSI network, you gain access to higher quality and more reproducible health analytics research.
Stakeholders choose OHDSI/OMOP to:
Conduct faster, more reliable studies across a series of datasets and data types (i.e. claims, EMR and EHR data)
Reduce costs of ownership, including understanding coding schemes, writing statistical programs across databases or developing software
Expand data access via the OHDSI network and remote multi-center database studies
IQVIA offers solutions to expand data access and drive reliable real world evidence.
Software, ETL, SMEs: Build your own OHDSI/OMOP capabilities, leveraging IQVIA consulting and technical services/tools
Productized Analytics: Utilize IQVIA expertise and speed of analysis to design and execute analytics packages of simple to high complexity
Data network: Gain access to more than 2 billion patient records, most of which are otherwise commercially unavailable