
Bias in Health Professions Education (HPE)
Bias is everywhere. It is a part of how we make sense of the world. In HPE it shapes assessment, feedback, participation and care, operating within individuals, between people and through systems that reproduce inequities.
This curation brings together expert-selected research on bias. It frames bias as a predictable feature of human cognition and institutional design, not as a personal flaw. The experts advocate that bias should be surfaced, questioned and system designed to maximize fairness.
Two cases in working with bias
Nicole Perez and Javeed Sukhera introduces Case on assessment
Introducion of Case - Clinical decision making
Curation
Expert spotlight
Javeed Sukhera, MD, PhD
Physician-educator and researcher whose work on bias and its presence in HPE has shifted the field from awareness to structural understanding and evidence-informed change.
Nicole A. Perez, PhD
Sociologist and HPE researcher focusing on race, ethnicity, social inequality, and how educational structures shape trainee experiences—bringing critical sociological lenses to bias in HPE.
Foundations
What is bias, why does it matter, and how should we think about it?
What readers will find
How does bias operate at different levels?
How does bias impact health professions education?
Why intent is a poor proxy for impact
How power, norms, and systems shape bias
Bias - State of the art
What is the current understanding of bias?
How did\ we get to this current understanding?
What are tomorrow’s challenges?
If you only have time to read 4 papers…
Annotated references
Practical applications – from awareness to action
Bias is part of everyday practice. The question is what we do about it. This section highlights practical ways to notice, question, and redesign where bias takes hold.
Two cases: bias in everyday clinical education and care
Additional resources
The K’Nexus Podcast Bias Episodes
Photo: Pexels/PixabayYour hot take
It’s your turn to take the mic and tell us about bias in your context
Short answer
When your leadership asks you to explain how to address bias, here is the >5 sentence answer.
Equal opportunities at KI
Did you search for how KI works with equal opportunities, you'll find it here
