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Episode 112: What a Climate Change Economist Can Teach Us About Clinician Burnout with Dr. Sisi Hu

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Manage episode 420758980 series 3550479
Content provided by Diane Shannon, MD, Diane Shannon, and MD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Diane Shannon, MD, Diane Shannon, and MD or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

Reviews are greatly appreciated.

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

  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 420758980 series 3550479
Content provided by Diane Shannon, MD, Diane Shannon, and MD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Diane Shannon, MD, Diane Shannon, and MD or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

Reviews are greatly appreciated.

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

  continue reading

18 episodes

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