Access To The World’s Largest Open Source Observational Health Data Network

Have you ever read a peer-reviewed paper on observational health data and been suspicious of single-center findings? Do you wonder if things can be replicated at scale across a variety of healthcare settings?
The Observational Health Data Sciences and Informatics (OHDSI) community provides a framework to enable the world’s largest federated network of observational health data for rapid hypothesis testing built on the OMOP Common Data Model and Standard Vocabularies. The global OHDSI open data network represents more than 152 databases in 18 countries covering more than 2.1 Billion lives.

How does it work? Can anyone do research in this model? What is the governance surrounding this global collaborative? You’re about to find out! You, too, can become an investigator in the world’s largest observational research network. Using the OHDSI methods and open source tools, the data network can easily specify an interoperable definition of a phenotype of interest and conduct large scale multi-center research on exposures and outcomes of interest on these data. These investigations have been spotlighted in more than 20 peer-reviewed publications including The Lancet, The Lancet Rheumatology, Drug Safety, PloS One, JAMA, JAMIA as well as public forums for the FDA Biologics Effectiveness and Safety (BEST) program.

Come hear how a global, open-source initiative that is as a “poor as a church mouse” is able to create the world’s largest, multi-center research investigations simply by the power of community and desire to improve patient outcomes. Maybe, just maybe, you’ll want to join the journey!

Speaker Bio:
Kristin Kostka is award-winning computational epidemiologist (an extra nerdy way to say data-driven, algorithms-powered outcomes researcher) with a passion for large scale health analytics. She is heavily invested in open science and innovation through collaboration with the Observational Health Data Sciences & Informatics (OHDSI) community aimed at improving patient outcomes through large scale analytics. In her work, Kristin partners with hospitals, payers, healthcare providers and industry experts to help organizations unlock the power of institutional data and connect with the world’s largest observational health data network.

Kristin’s professional experience includes over 10 years of time leading real world evidence generation studies, designing and implementing enterprise patient data lakes, conducting large-scale multinational clinical trials and preparing regulatory submissions. Kristin currently works as an Associate Director at IQVIA. Within the OHDSI open source community, Kristin sits on the OHDSI Steering Committee, the US Symposium Scientific Committee, the Women of OHDSI group, the OHDSI Study Nurture Committee and regularly leads OHDSI network studies. Notably, Kristin co-authored three chapters for the world’s first observational health open science textbook, the Book of OHDSI, and has co-presented research on the world’s largest observational study predicting individual risk of developing breast cancer after a negative mammography.

Kristin holds a Bachelor’s degree in Exercise Science from Elon University and a Master’s in Public Health in Epidemiology from Boston University School of Public Health.

Light refreshments sponsored by Code Ocean