Juan M. Banda, PhD,
Research Scientist,
Stanford Center for Biomedical Informatics Research , Stanford University

Abstract:
With over 160 collaborators in 16 countries, the Observational Health Sciences and Informatics (OHDSI) data network of over 600 million patients offers some very unique research opportunities. OHDSI is an interdisciplinary collaborative to bring out the value of health data through large-scale analytics with all our solutions being open-source. In this talk I will discuss how a research lab can join the journey and what benefits does this entail. I will talk about the details of getting de-identified Stanford EHR data into the OMOP CDM, discuss the OHDSI tool stack, and how to deploy it for a research group. We will then discuss the exciting research initiatives and work groups in OHDSI focused on phenotyping, cohort building, patient-level prediction, and population level estimation. By the end of this talk you will be excited about joining the OHDSI journey and asking where to sign up.