At first glance, you might not see the parallels between predicting the potential damage of climate change and improving the retention of clinicians. I didn’t either–until I spoke with Dr. Sisi Hu. She helped me understand the value of predictive modeling and the power of data to help leverage change in our clinical workplaces. Intrigued? Listen to our conversation!

Dr. Sisi Hu is an economist at Harvard University and co-founder and chief well-being economist of Atalan, a mission-driven startup that uses machine learning to predict and prevent clinician burnout and turnover. Initially her career was focused on researching labor disruptions caused by climate change. With the pandemic, her focus shifted to clinician burnout and wellbeing.

Connect with Dr. Hu at sisi@atalantech.com

Like what you heard? Listen to more episodes with Dr. Diane Shannon on our podcast Vital Signs: Thriving as Women in Medicine

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Diane W. Shannon, MD, MPH, PCC is an internal medicine physician, award-winning writer, and certified coach. She understands the stresses inherent in the practice of medicine and the additional challenges that women face in the profession. Her passion is helping women in medicine create lives where they can thrive.

Share your experience and continue the conversation with Diane at www.dianeshannon.com or www.linkedin.com/in/dianewshannon