Dax Paramanathan

Staff Data Scientist at Cityblock

Dax is a data scientist at Cityblock Health, where she has the privilege of supporting the company’s front-line care team members in delivering personalized, high-touch medical, behavioral, and social care to low-income members who need it most. As Cityblock’s first data team hire, she built their analytics capabilities from the ground up before moving into machine learning to enrich care provision, and evaluation/research to assess impact. Prior to Cityblock, she worked at an oncology tech company called Cota Healthcare, where she was also the company’s first data hire. She holds a Master’s Degree in Mathematics from NYU’s Courant Institute of Mathematical Sciences. She lives in Brooklyn, where she enjoys befriending dogs on the street, shopping in thrift stores, and dabbling in graphic design.

WATCH LIVE: February 17 @ 2:25PM – 2:55PM ET

Addressing Disparities with Public Data on Social Determinants

Medical data from insurance claims or electronic health records provide a limited picture of a person’s health. Data on social determinants of health (SDOH), which are the non-medical factors that influence health outcomes, can enrich your understanding of member health, improve your model performance and findings, make your recommendations more equitable, and are easier to access than you might think.

In this talk, you will learn about SDOH and the impact of not considering them in ML applications in healthcare. You will also receive recommendations on free, publicly available data sources that you can integrate into your data warehouse to better understand and anticipate social/environmental factors impacting health outcomes.