Nancy D. Lin, Vice President -Real World Insights & Evidence, joined Health Catalyst Life Sciences in September 2020. Dr. Lin is an epidemiologist with over 15 years of experience in clinical and pharmacoepidemiology research and specific experience in cross-institutional studies. Her primary research interests include application, utility, and methodologic considerations for the use of electronic health care data systems to enhance surveillance and assessment of medical products’ safety and effectiveness. Prior to joining Health Catalyst, Dr. Lin was a Senior Scientist in the Optum Insight Life Sciences, Epidemiology business. In that capacity, she provided scientific oversight over a range of retrospective and prospective cohort studies that leveraged health care claims, electronic health records, and data linkages (e.g., medical records, free-text clinical notes, registry data), and from 2013-2020, served as Optum’s Site Principal Investigator supporting the FDA Mini-Sentinel/Sentinel initiative. Dr. Lin also serves as Chair of the Science Committee for the Biologics and Biosimilars Collective Intelligence Consortium, a non-profit, multi-stakeholder scientific initiative engaged in real-world evidence generation on the utilization, safety, and effectiveness of biologics and biosimilars using a distributed network of health care organizations. Dr. Lin received a Doctor of Science in Epidemiology in 2004 and a Master of Science in Epidemiology in 2001 from the Harvard School of Public Health.
33. Three Worlds Come Together: How Healthcare Organizations, Public Health, and Research Intersected to Fight COVID-19
COVID-19 has made urgent the need for rapid evidence generation around disease understanding, testing, and treatment patterns in broad populations. In response, the Reagan-Udall Foundation for the FDA and Friends of Cancer Research developed the COVID-19 Evidence Accelerator to convene a real-world data healthcare ecosystem. This session will feature case examples from the Reagan Udall Foundation Evidence Accelerator and demonstrate the importance of a national data repository in driving real-world evidence generation to support multistakeholder collaboration.
Participants will learn:
- How healthcare organizations, public health, and research can effectively collaborate.
- How to design and execute an optimal process to incorporate a risk prediction model into operation.
- How an optimal data structure and user-friendly visualization design can greatly improve model development and utilization.