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How a Chief Wellbeing Economist is Helping Healthcare Systems Identify Current and Future Financial States with Targeted Action Plans

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Manage episode 376180825 series 3387748
Content provided by Dr. Katie Cole. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Katie Cole 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.
I had the absolute pleasure in interviewing Dr. Sisi Hu on Hope for Healthcare today! She and her business partner Tiffany Chan have created an AI model to support our healthcare workers, specifically to support our health systems to measure, benchmark, and mitigate clinician burnout and turnover using data-driven technologies. Please tune in to hear how their model is complementary, and utilizes current health system data and resources! Discussion Points:
  • Why are you passionate about studying the economics and science of clinician burnout?
  • How are you turning the science into a platform for targeted action planning for health systems?
  • What sets your model apart from other well-being assessment models?
  • How does your model complement and use the data that a healthcare organization has already collected.
Listen to the complete podcast.
  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 376180825 series 3387748
Content provided by Dr. Katie Cole. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Katie Cole 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.
I had the absolute pleasure in interviewing Dr. Sisi Hu on Hope for Healthcare today! She and her business partner Tiffany Chan have created an AI model to support our healthcare workers, specifically to support our health systems to measure, benchmark, and mitigate clinician burnout and turnover using data-driven technologies. Please tune in to hear how their model is complementary, and utilizes current health system data and resources! Discussion Points:
  • Why are you passionate about studying the economics and science of clinician burnout?
  • How are you turning the science into a platform for targeted action planning for health systems?
  • What sets your model apart from other well-being assessment models?
  • How does your model complement and use the data that a healthcare organization has already collected.
Listen to the complete podcast.
  continue reading

38 episodes

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