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Best Practices to Improve Healthcare Delivery Using AI

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Manage episode 411297621 series 3472284
Content provided by Tory Cenaj. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tory Cenaj 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.

Best Practices to Improve Healthcare Delivery Using AI

  • Prasad Kothari, Director, Axtria Health
  • Tarun Mohan Lal, Vice President, Chief Analytics and Solutions Officer, Atrium/Navicent and incoming President of Society for Health Systems
  • Dr. Anand S. Rao, Partner and Global AI Lead, PwC
  • Swathi Young, Chief Technology Officer, Integrity Management Services Inc.

A candid discussion that dives into the recesses of AI and ethics including topics such as what lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems, how can responsible AI help build a clinical support system, examples from providers and payers and learnings from responsible AI which can be used in Obamacare and clinical trial implementation.

Discussion topics will include:

  • What is responsible AI? Is it the same as Ethical AI?
  • What lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems?
  • Why is responsible AI important for healthcare? Is there demographic bias in the treatment part of responsible AI?
  • How can responsible AI help build a clinical support system?
  • What are some examples of responsible AI in the healthcare industry with respect to providers and payers?
  • What are learnings from responsible AI which can be used in Obamacare implementation?
  • HHS introduced an interoperability rule between EMR/EHR systems in 2019. How does it help in the implementation of responsible AI?
  • How responsible AI is currently covered in new US government initiative such as AI.gov
  • Responsible AI & data bias in clinical trials
  continue reading

221 episodes

Artwork
iconShare
 
Manage episode 411297621 series 3472284
Content provided by Tory Cenaj. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tory Cenaj 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.

Best Practices to Improve Healthcare Delivery Using AI

  • Prasad Kothari, Director, Axtria Health
  • Tarun Mohan Lal, Vice President, Chief Analytics and Solutions Officer, Atrium/Navicent and incoming President of Society for Health Systems
  • Dr. Anand S. Rao, Partner and Global AI Lead, PwC
  • Swathi Young, Chief Technology Officer, Integrity Management Services Inc.

A candid discussion that dives into the recesses of AI and ethics including topics such as what lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems, how can responsible AI help build a clinical support system, examples from providers and payers and learnings from responsible AI which can be used in Obamacare and clinical trial implementation.

Discussion topics will include:

  • What is responsible AI? Is it the same as Ethical AI?
  • What lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems?
  • Why is responsible AI important for healthcare? Is there demographic bias in the treatment part of responsible AI?
  • How can responsible AI help build a clinical support system?
  • What are some examples of responsible AI in the healthcare industry with respect to providers and payers?
  • What are learnings from responsible AI which can be used in Obamacare implementation?
  • HHS introduced an interoperability rule between EMR/EHR systems in 2019. How does it help in the implementation of responsible AI?
  • How responsible AI is currently covered in new US government initiative such as AI.gov
  • Responsible AI & data bias in clinical trials
  continue reading

221 episodes

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