Authenticity and bias in recommendation letters

Heather Furnas, an adjunct clinical associate professor at Stanford and an aesthetic surgeon, joins us as we delve into the intricate world of recommendation letters, biases in evaluations, and their impact on diverse fields. Heather lends her expertise to unravel the complexities of authenticity, gender disparities, and alternative assessment methods. Discover how these issues resonate across academia, medicine, and beyond. Tune in for an insightful conversation that challenges conventional norms and explores pathways to more equitable evaluation processes. Heather Furnas is an adjunct clinical associate professor at Stanford and an aesthetic surgeon in Northern California. She co-hosts the Skintuition podcast and can be reached on her website, Heather Furnas, and on Twitter @drheatherfurnas, Instagram @drheatherfurnas, Facebook, and LinkedIn. She discusses the KevinMD article, "Let's rethink letters of recommendation." The Podcast by KevinMD is brought to you by the Nuance Dragon Ambient eXperience. With a growing physician shortage, increasing burnout, and declining patient satisfaction, a dramatic change is needed to make health care more efficient and effective and bring back the joy of practicing medicine. AI-driven ambient clinical intelligence promises to help by revolutionizing patient and provider experiences with clinical documentation that writes itself. The Nuance Dragon Ambient eXperience, or DAX for short, is a voice-enabled, ambient clinical intelligence solution that automatically captures patient encounters securely and accurately at the point of care. Physicians who use DAX have reported a 50 percent decrease in documentation time and a 70 percent reduction in feelings of burnout, and 83 percent of patients say their physician is more personable and conversational. Rediscover the joy of medicine with clinical documentation that writes itself, all within the EHR. VISIT SPONSOR → https://nuance.com/daxinaction SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended GET CME FOR THIS EPISODE → https://earnc.me/JY1gIP Powered by CMEfy.