UnBIASED

Understanding Biased patient-provider Interaction And Supporting Enhanced Discourse

Motivation

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.


Objective

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.

This 5-year project, funded by the National Library of Medicine, is a collaboration between the University of Washington and University of California 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.

UnBIASED Research Team

Photo of Andrea Hartzler

Andrea Hartzler, Ph.D.

Biomedical Informatics and Medical Education, University of Washington

Photo of Wanda Pratt

Wanda Pratt, Ph.D.

Information School, University of Washington

Photo of Janice Sabin

Janice Sabin, Ph.D.

Biomedical Informatics and Medical Education, University of Washington

Photo of Nadir Wiebel

Nadir Weibel, Ph.D.

Computer Science and Engineering, UC San Diego

Photo of Erin Beneteau

Erin Beneteau, MA CCC-SLP

Information School, University of Washington

Regina Casanova-Perez, MS

Biomedical Informatics and Medical Education, University of Washington

Colleen Emmenegger, MS

Design Lab, UC San Diego

Photo of Cezanne Lane

Cezanne Lane

Biology, University of Washington

Photo of Steven Rick

Steven Rick, MS

Computer Science and Engineering, UC San Diego

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