Health Tech Is Enabling Personalized Care: Or Is It?

Tech innovations have been promising to make healthcare more personalized. But is it helping everyone? Who is actually benefiting from the boom in health tech? Which patient populations are missing out? What needs to change in personalized care models to ensure that all people have access to quality care? In this panel discussion, the speakers will discuss the current and future state of personalized care models. We will explore the barriers and opportunities for populations left out of personalized healthcare through a data science and behavioral science perspective. We will discuss the three major obstacles to equitable personalized care: 1) tech is built on the model body and that’s not female but is instead based on “the reference man,” 2) there are no real financial incentives to address the gaps with underrepresented populations and 3) the challenge of caregiver and patient populations who are willing and non-willing to change their behaviors. Attendees will learn how to identify weaknesses in their personalized care models, bridge the gaps in female and other population representation and better enable caregivers to keep patients and populations healthy.