Study procedures and results will be explained, together with main challenges and lessons learned under the first approach to OHDSI-OMOP tools by the participating EU hospitals.
TORONTO (PRWEB)
November 08, 2021
The future of real-world evidence (RWE) requires the use of common data models to streamline the analysis of electronic health records (EHR) in near real-time. The Observational Medical Outcomes Partnership (OMOP) data model is gaining global acceptance thanks to the Observational Health Data Sciences and Informatics (OHDSI, pronounced “Odyssey”) community, composed of more than 350 researchers with a coordinating center at Columbia University. Besides OMOP, OHDSI develops high-quality, open-source tools to analyze real-world data (RWD). In March 2020, these tools were quickly leveraged in an enormous effort to provide fast and reliable evidence to fight against COVID-19 using volunteer data partners.
In this webinar, featured speakers will explain “COVID-Real,” an OHDSI sub-study conducted in Spanish hospitals by TFS, a contract research organization (CRO) with large RWE experience, and IOMED, a technology company using OMOP and natural language processing (NLP) to extract free text information. Study procedures and results will be explained, together with main challenges and lessons learned under the first approach to OHDSI-OMOP tools by the participating EU hospitals.
Register for this webinar to hear expert speakers explain the great experience of engaging hospitals in global COVID-19 research and making them aware of the usefulness of the newest technologies to extract and analyze information in almost near-real time, which had been impossible only a few years ago.
Join Neus Valveny, PhD, Senior Director, Head of RWE at TFS HealthScience; and Gabriel Maeztu, MD, Co-Founder & CTO at IOMED, in a live webinar on Tuesday, November 30, 2021 at 10am EST (3pm GMT/UK).
For more information, or to register for this event, visit Future of Real-World Evidence: Common Data Models and OHDSI Tools Used in the COVID-Real Case Study.
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