Session Abstract – PMWC 2020 Silicon Valley


Population sequencing of healthy individuals has huge value for preventive care. Recently, we have seen a rise in newly launched initiatives across various medical organizations. In this session we will hear updates from several of these studies to learn about their objectives, protocols, challenges, and more.

 Session Chair Profile

Ph.D., Deputy Director, UCLA Institute for Precision Health

Biography
Dr. Lajonchere is the Deputy Director for the UCLA Institute for Precision Health and Adjunct Professor in the Department of Neurology at the David Geffen School of Medicine at UCLA. Her background reflects a wide range of professional, clinical, and research experience across CNS disorders. She has spent her career on cross-cutting issues in psychiatric genetics and translational medicine. Through the Institute, Dr. Lajonchere worked collaboratively with thought leaders across the state of California to advance precision medicine and improve outcomes for patients. Prior to UCLA, Dr. Lajonchere held faculty appointments at USC where she conducted her own NIH research, and served as VP of Clinical Programs for Autism Speaks. More recently, she served as the Chief Scientific Officer for Cognoa, Inc, a digital healthcare company in Palo Alto and consults for several tech start-ups in the autism space focused on AI, robotics, and targeted therapeutics.


 Speaker Profile

M.D., Director, Analytic Enablement at Highmark Inc., Highmark BlueCross/BlueShield

Biography
Lincoln's data science teams build analytic products across several Highmark business functions including clinical services and revenue cycle. Those products have leveraged advanced analytics to generate personalized member insights that drive efficiencies and savings for the health plan, providers, and members. Aside from workflow app development, his teams have developed several robotic process automations that work side by side with clinicians. Those bots employ image processing and advanced analytics in their work. Several workflow apps employ real time machine learning and natural language processing to enhance identification and stratification of members. Prior to working at Highmark, Lincoln worked as a data scientist at the UPMC Technology Development Center and then at one of their portfolio companies. He graduated from Rutgers Medical School and received his MS from Princeton University working on the use of real time machine learning to stratify and identify members at risk of various outcomes.


 Speaker Profile

M.D., President and Chief Executive Officer, Renown Health

Biography
Dr. Tony Slonim is one of the nation’s most innovative and progressive health leaders. With a personal passion for improving health, Tony caught the industry’s attention by launching the Healthy Nevada Project®, the first and fastest-growing population health study combining genetic, environmental, social and clinical data to address individual and community health needs. With nearly 40,000 study volunteers enrolled across the state, the Project is returning clinically actionable results to participants and conducting extensive research. Recognized nationally as a thought leader, Modern Healthcare named Tony to its Most Influential Physician Executives and Leaders list. He has also been honored on Becker’s Hospital Review’s “Physician Leaders to Know” list since 2014. A quadruple board-certified physician with more than 120 publications and 15 textbooks to his name, Tony is a certified pediatric intensivist by training, a two time TEDx speaker.and chair of the American Hospital Association’s Systems Council representing more than 300 integrated health systems.

Talk
Healthy USA Project: Genetic Crowdsourcing Improving Health
This talk will cover 40,000 Nevadans have enrolled in a genetic study – each with a story of learning more about their health. Study volunteers are now being notified of their genetic health risks tied to heart disease and cancer. This is potentially life-saving information that more than 60% who tested positive may not have received otherwise.