Quantifying the Impact of the Social Determinants of Health in the Covid-19 Era

Shae Armstrong
Optum
Friday, October 23, 2020 - 7:30pm to 8:30pm
Zoom Link: https://umn.zoom.us/j/99433158383?pwd

The Social Determinants of Health (SDoH) are key factors in each person’s environment and life that influence clinical outcomes of their health and wellbeing. These factors include, but are not limited to, income, housing, food security, education, and geography. In the age of Covid-19, understanding these factors and how they correlate to each other is more important than ever. Once we as industry gain insight on these clinical and financial impacts, we need to translate that insight into policy to mitigate root cause issues to better serve patients across the country. During this lecture we lay the foundation by defining what the Social Determinants of Health are and the various categories they fall into. We will also examine what data sources feed various SDoH models and limitations of said data sources. Next we will conduct a deep-dive examination on a variety of case studies and models aimed at quantifying the short-term and long-term clinical and financial impact of Covid-19. From there we will touch on the future and impact of healthcare data analytics within the healthcare industry and as human beings navigating an unprecedented pandemic.

Bio: Shae Armstrong is a Senior Healthcare Economic Consultant at OptumCare, a subsidiary of Optum, focusing on data strategy efforts to support a myriad of users from actuaries to data scientists who in turn, use data results to help providers make the best decisions for their patients. OptumCare is one of the largest healthcare systems in the nation, delivering care to patients in 15 states across the country. OptumCare is recognized nationally for its unique emphasis on data driven results and value-based care, creating a more effective and efficient kind of care. Data strategy efforts Shae currently supports ranges from data validation, standardization, and curation to defining data quality standards to operationalizing and optimizing data engines, streams, and processes. Prior to working at OptumCare, Shae was an Actuarial Analyst at Mercer Consulting working on actuarial pricing for a variety of state Medicaid programs. At Mercer she learned some of the fundamental data components and validations needed to support a wide variety actuarial and data science reporting needs. Shae is an alumnus of the University of Minnesota: Twin Cities where she double majored in Mathematics specializing in Actuarial Science (B.A.) and Economics (B.S.) with a minor in Risk Management and