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Practical Applications of AI in Healthcare with Joseph Zabinski, PhD of OM1

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Manage episode 379439901 series 2934463
Content provided by Carrie Nixon and Rebecca Gwilt, Carrie Nixon, and Rebecca Gwilt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carrie Nixon and Rebecca Gwilt, Carrie Nixon, and Rebecca Gwilt 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.

In this episode, you will discover:

  • AI is for optimization and not replacement
  • The two hurdles to implementing AI in healthcare
  • The benefit of LLMs in healthcare
  • Using AI to improve diagnosis and treatment

Key Takeaways:

  • Every time there’s a new technology, there’s always a lot of fear surrounding it. With AI, we must always focus our intention on and enlighten people with the fact that these technological advances are for the optimization of work and not for the replacement of people.
  • Conservatism in regard to AI will always be one of the biggest hurdles in its implementation. This is because we want to make sure that there will be no harm caused in using this tool. When querying for information that might be critical for treatment, it should be able to give out accurate results. Another hurdle is the integration of AI tools into clinical workflows.
  • LLMs are very good at helping extract and summarize information from messy datasets. A practical application for this is saving clinicians’ time by summarizing physician’s notes.
  • AI can be used as a tool to identify subtypes of diseases within large categories, leveraging patient data to improve diagnosis and treatment.

“We're not trying to replace the humans involved in the process. There are many, many things they do that AI will never do as well as them. In my opinion, we're augmenting and helping, just like other tools would.” - Joseph Zabinski

Resources:

LinkedIn: https://www.linkedin.com/in/zabinskijoe

Learn more from Carrie and Rebecca:

Healthcare Insights (a monthly deep dive into specific topics for innovators): https://nixongwiltlaw.com/healthcare-insights

Telehealth/Virtual Care Mgmt Update (a biweekly LinkedIn newsletter tracking legal and policy changes across the nation): https://www.linkedin.com/newsletters/telehealth-virtual-care-update-6901900767960068096/

Website: https://nixongwiltlaw.com/


Carrie on LinkedIn: https://www.linkedin.com/in/carrienixon/

Rebecca on LinkedIn: https://www.linkedin.com/in/rebeccagwilt/

NGL on LinkedIn: https://www.linkedin.com/company/nixon-gwilt-law/

  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 379439901 series 2934463
Content provided by Carrie Nixon and Rebecca Gwilt, Carrie Nixon, and Rebecca Gwilt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carrie Nixon and Rebecca Gwilt, Carrie Nixon, and Rebecca Gwilt 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.

In this episode, you will discover:

  • AI is for optimization and not replacement
  • The two hurdles to implementing AI in healthcare
  • The benefit of LLMs in healthcare
  • Using AI to improve diagnosis and treatment

Key Takeaways:

  • Every time there’s a new technology, there’s always a lot of fear surrounding it. With AI, we must always focus our intention on and enlighten people with the fact that these technological advances are for the optimization of work and not for the replacement of people.
  • Conservatism in regard to AI will always be one of the biggest hurdles in its implementation. This is because we want to make sure that there will be no harm caused in using this tool. When querying for information that might be critical for treatment, it should be able to give out accurate results. Another hurdle is the integration of AI tools into clinical workflows.
  • LLMs are very good at helping extract and summarize information from messy datasets. A practical application for this is saving clinicians’ time by summarizing physician’s notes.
  • AI can be used as a tool to identify subtypes of diseases within large categories, leveraging patient data to improve diagnosis and treatment.

“We're not trying to replace the humans involved in the process. There are many, many things they do that AI will never do as well as them. In my opinion, we're augmenting and helping, just like other tools would.” - Joseph Zabinski

Resources:

LinkedIn: https://www.linkedin.com/in/zabinskijoe

Learn more from Carrie and Rebecca:

Healthcare Insights (a monthly deep dive into specific topics for innovators): https://nixongwiltlaw.com/healthcare-insights

Telehealth/Virtual Care Mgmt Update (a biweekly LinkedIn newsletter tracking legal and policy changes across the nation): https://www.linkedin.com/newsletters/telehealth-virtual-care-update-6901900767960068096/

Website: https://nixongwiltlaw.com/


Carrie on LinkedIn: https://www.linkedin.com/in/carrienixon/

Rebecca on LinkedIn: https://www.linkedin.com/in/rebeccagwilt/

NGL on LinkedIn: https://www.linkedin.com/company/nixon-gwilt-law/

  continue reading

65 episodes

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