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EP451: Hey, Let’s Not Talk About Artificial Intelligence, With Spencer Dorn, MD, MPH, MHA

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Conteúdo fornecido por Stacey Richter. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Stacey Richter ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In Episode 451 of Relentless Health Value, host Stacey Richter converses with Dr. Spencer Dorn about the implications of AI in healthcare, referencing lessons learned from EHR implementations.

They discuss Kranzberg's first law of technology, which advises against labeling a technology as inherently good, bad, or neutral, emphasizing instead the importance of its application, configuration, and the human decisions surrounding its use. Dorn and Richter explore both the potential benefits and drawbacks of AI, drawing parallels with past experiences in healthcare digitization.

To read the full article with links mentioned or to sign up to the newsletter, visit our episode page.

The first takeaway from this short show focused on artificial intelligence is gonna be the same, really, as it was in episode 446 about EHRs. Do not ascribe any given technology a label of, as good, bad, or even neutral. That is Kranzberg’s First Law of Technology; and it applies here, too.

Second major takeaway—and again, this is the same as in that earlier show about EHRs, but today we’re talking about AI—if you’re thinking about the ultimate impact of the people and the processes that have some technology in their midst (technology, again, such as AI, artificial intelligence), the ultimate impact will not be a black-and-white binary.

We talk about some of these nuanced not binaries in the 10 minutes that follow, but for more, I’ve put some links in the show notes on our epsiode page for some newsletters et cetera to check out.

05:23 What could happen with AI in healthcare if we aren’t thinking about how we’re deploying it?

05:58 How could the lessons from digitizing healthcare help us with employing AI?

08:25 How could artificial intelligence make things better and simultaneously worse?

10:55 Why is it important to look beyond the hype and pessimism and make a clear-eyed assessment?

  continue reading

558 episódios

Artwork
iconCompartilhar
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 07, 2024 11:48 (7d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 441995167 series 2701020
Conteúdo fornecido por Stacey Richter. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Stacey Richter ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In Episode 451 of Relentless Health Value, host Stacey Richter converses with Dr. Spencer Dorn about the implications of AI in healthcare, referencing lessons learned from EHR implementations.

They discuss Kranzberg's first law of technology, which advises against labeling a technology as inherently good, bad, or neutral, emphasizing instead the importance of its application, configuration, and the human decisions surrounding its use. Dorn and Richter explore both the potential benefits and drawbacks of AI, drawing parallels with past experiences in healthcare digitization.

To read the full article with links mentioned or to sign up to the newsletter, visit our episode page.

The first takeaway from this short show focused on artificial intelligence is gonna be the same, really, as it was in episode 446 about EHRs. Do not ascribe any given technology a label of, as good, bad, or even neutral. That is Kranzberg’s First Law of Technology; and it applies here, too.

Second major takeaway—and again, this is the same as in that earlier show about EHRs, but today we’re talking about AI—if you’re thinking about the ultimate impact of the people and the processes that have some technology in their midst (technology, again, such as AI, artificial intelligence), the ultimate impact will not be a black-and-white binary.

We talk about some of these nuanced not binaries in the 10 minutes that follow, but for more, I’ve put some links in the show notes on our epsiode page for some newsletters et cetera to check out.

05:23 What could happen with AI in healthcare if we aren’t thinking about how we’re deploying it?

05:58 How could the lessons from digitizing healthcare help us with employing AI?

08:25 How could artificial intelligence make things better and simultaneously worse?

10:55 Why is it important to look beyond the hype and pessimism and make a clear-eyed assessment?

  continue reading

558 episódios

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