Bias abounds in health care, whether it’s intended or not. Even in health care marketing and consumer engagement, common targeting methods unintentionally exclude race, gender, and sexual minorities. For example, methods that segment by zip codes and income, and even methods using EMR data, common algorithms, or machine learning frequently perpetuate bias.
Dr. Emily Bembeneck, Sr. Associate Director for UC Booth Applied AI, will share the story on bias in widespread approaches in health care and their playbook for health care leaders to fight bias in their own organizations.
Fighting bias doesn’t stop with algorithms. Rebecca Nissan from ideas42 will discuss the behavioral sciences involved, and Chris Hemphill and Ling Hong from SymphonyRM will discuss coordinating data science with patient engagement leaders to make these efforts real.
Join us to discuss and learn on a whole host of issues impacting health equity today -