CIO Podcast – Episode 125: High Reliability vs AI Adoption with Renu Sara Nargund

For the 125th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Renu Sara Nargund, Data Scientist at the Institute for Data Science in Oncology of UT MD Anderson Cancer Center, to talk about high reliability vs AI adoption! We kick this episode off by detailing what a high reliability organization is, before going into the challenges and opportunities AI poses for high reliability. Next, Nargund shares the premise and her research for her article “Sustaining High Reliability Amid Artificial Intelligence Adoption in Oncology“. Then, we discuss what a ‘human in the loop’ is and why it isn’t enough to solve the reliability problem with AI. While Nargund isn’t against human in the loop, she shares what she thinks is needed to make the human more capable at what they do. 

We then get into what it means for an organization to have layered defenses – with Nargund sharing her ‘swiss cheese’ example. Then, we analyze a poignant quote from Nargund’s article, “In this new ecosystem, the distinction between being present in the loop and being reliably protective in the loop becomes critical.” Next, we talk about what organizations can do to address these AI reliability challenges in their organization. Finally, we conclude this episode with Nargund sharing advice to anyone who is looking for a career in healthcare AI and data science.

Here’s a look at the questions and topics we discuss in this episode:

• What is a high reliability organization? What challenges and opportunities does AI pose to high reliability?
• You wrote an article called “Sustaining High Reliability Amid Artificial Intelligence Adoption in Oncology“. What’s the premise of the article and your research for it?
• What is a “capable human in the loop,” and why is that not enough to solve the problem of reliability with AI?
• You’re not advocating for no “human in the loop”. What is needed to make the human more capable as a human in the loop?
• What does it mean for an organization to have layered defenses? And tell us about your Swiss Cheese example.
• “In this new ecosystem, the distinction between being present in the loop and being reliably protective in the loop becomes critical.”
• What can organizations do to address these AI challenges of reliability in their organization?
• For those looking at a career in healthcare AI and data science, what advice would you give them?

Now, without further ado, we’re excited to share with you the next episode of the CIO Podcast by Healthcare IT Today.

For the 125th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Renu Sara Nargund, Data Scientist at the Institute for Data Science in Oncology of UT MD Anderson Cancer Center, to talk about high reliability vs AI adoption! We kick this episode off by detailing what a high reliability organization is, before going into the challenges and opportunities AI poses for high reliability. Next, Nargund shares the premise and her research for her article “Sustaining High Reliability Amid Artificial Intelligence Adoption in Oncology“. Then, we discuss what a ‘human in the loop’ is and why it isn’t enough to solve the reliability problem with AI. While Nargund isn’t against human in the loop, she shares what she thinks is needed to make the human more capable at what they do. 

We then get into what it means for an organization to have layered defenses – with Nargund sharing her ‘swiss cheese’ example. Then, we analyze a poignant quote from Nargund’s article, “In this new ecosystem, the distinction between being present in the loop and being reliably protective in the loop becomes critical.” Next, we talk about what organizations can do to address these AI reliability challenges in their organization. Finally, we conclude this episode with Nargund sharing advice to anyone who is looking for a career in healthcare AI and data science.

Here’s a look at the questions and topics we discuss in this episode:

• What is a high reliability organization? What challenges and opportunities does AI pose to high reliability?
• You wrote an article called “Sustaining High Reliability Amid Artificial Intelligence Adoption in Oncology“. What’s the premise of the article and your research for it?
• What is a “capable human in the loop,” and why is that not enough to solve the problem of reliability with AI?
• You’re not advocating for no “human in the loop”. What is needed to make the human more capable as a human in the loop?
• What does it mean for an organization to have layered defenses? And tell us about your Swiss Cheese example.
• “In this new ecosystem, the distinction between being present in the loop and being reliably protective in the loop becomes critical.”
• What can organizations do to address these AI challenges of reliability in their organization?
• For those looking at a career in healthcare AI and data science, what advice would you give them?

Now, without further ado, we’re excited to share with you the next episode of the CIO Podcast by Healthcare IT Today.