UnBIASED: Understanding Biased patient-provider Interactions And Supporting Enhanced Discourse


Overview

Healthcare bias – based on patients’ race, gender, sexual orientation – and other factors lead to health disparities, such as lack of appropriate treatment and inadequate pain support. Such biases are often unintentional and “hidden” in communication between patients and doctors.

Existing approaches to address hidden bias are limited because they are removed from actual patient-doctor interactions in which bias hides. Technology offers an opportunity to design new approaches that can make hidden bias more visible and thus addressable.

We are investigating a new approach to address hidden healthcare bias by improving patient-doctor communication in primary care. This approach monitors body language for signs of bias and provides feedback to raise awareness of patients and doctors for opportunities to adjust their communication style.

We are partnering closely with patients and doctors to ensure this approach is guided by their experiences and needs. Through this collaborative effort, we expect to gain a deep understanding of how hidden bias is experienced and how we can address it better in the future.

More Info here: http://unbiased.health


Funding and External Collaborations

UnBIASED ia a 5-year project, funded by the National Library of Medicine (NLMR01LM013301), and it is a collaboration between the University of Washington and the HXI Lab at UC San Diego. Our ultimate goal is to create tools to support patients and the next generation of doctors to have bias-free interactions that promote healthcare access, quality, and equity.


Publications

Nadir Weibel
Nadir Weibel
Associate Professor of Computer Science and Engineering
Steven Rick
Steven Rick
Ph.D. Candidate
Naba Rizvi
Naba Rizvi
Ph.D. Student