DBMI To Host Jan. 26 Disability Ethics, Intersectionality
and AI/ML Bias Speaker Series Event
Columbia University’s Center for Precision Medicine and Genomics, Division of Ethics, and Department of Biomedical Informatics are pleased to introduce the next event in the ‘Disability Ethics, Intersectionality and AI/ML Bias Speaker Series 2022/2023, entitled: The Intersection of Diabetes and Blindness: Lessons about Healthcare Biases,’ featuring speakers Nazanin Heydarian, PhD, and Allyson S. Hughes, PhD.
Join us on January 26th, 2023 at 12 – 1pm EST for a critical examination of blind patients’ experiences with managing diabetes and encountering bias. Blindness and diabetes are significantly interrelated. Diabetic retinopathy is the leading cause of vision loss. Blind people have an elevated risk of developing diabetes. Little is known about mental health, diabetes distress, or how to improve diabetes management for blind and low vision people. Clinicians are often untrained on competently interacting with blind patients and are, thus, prone to using heuristics and stereotypes to guide their interactions. In this talk, we will present an evidence-based picture of experiencing diabetes and blindness, highlight the lived experience of people who are blind and are seeking healthcare, and provide lessons learned and recommendations.
You can add this event to your Calendar.
This is a hybrid event. You can attend online or in person at:
Biomedical Informatics Conference Room 20-200
Presbyterian Hospital PH-20 (20th floor)
622 W 168th Street
10032
New York, NY
For additional information about the Speaker Series, contact Maya Sabatello, LLB, PhD, Associate Professor, Center for Precision Medicine & Genomics and Division of Ethics. For more information about this project, visit: Blind/Disability and Intersectional Biases in EHR. These events are free and open to the public. The location is wheelchair accessible, and the event is captioned. If you need further accommodation, please E-mail Dr. Sabatello at ms4075@cumc.columbia.edu least 7 days in advance and we will do our best to accommodate.
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