Session ID: 

All Big Data Aren’t Created Equal: Challenges and Opportunities to Building Bias-Free Analytics

8:45am - 9:45am Monday, March 9
Orlando - Orange County Convention Center
Additional Registration
Extra Fee


Big data holds the potential to tell a rich and detailed story. The challenge is ensuring it is collected and used in the right way, at the right time, and for the right reasons. Implicit bias and related pitfalls are common today, as these and other new data sources are increasingly employed in data analytics projects. And they can have far-reaching effects on population health. Through the lens of precision medicine, Dr. Esteban López, Chief Medical Officer for Clinical Strategy and Innovation discusses the relationship between big data and social determinants of health and illustrates how working through implicit bias can help move healthcare into a post-racial medical future.
This session is part of a special program called Big Data Symposium. Extra fees and separate registration is required.

Learning Objectives

  • Discuss the relationship between big data, precision medicine and social determinants of health
  • Identify the current issues and obstacles preventing collection of reliable health data and statistics on underrepresented populations of Americans
  • Evaluate the effects of social determinants of health on big data


CMO, Clinical Strategy & Innovation,
Health Care Service Corporation


Data Scientist
Population Health Management Professional