Agentic AI with Isaac Park of Keebler Health
Season 1, Episode 71, Jun 30, 09:00 AM
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Isaac Park, CEO of Keebler Health, joins the show to talk agentic AI and how it can be used in health care.
Music Credits:
Saxophonia by Offenbach Project - stock.adobe.com
Relaxing Lounge by Classy Call me Man - stock.adobe.com
COCKTAIL by Mythical Audio - stock.adobe.com
Editor's note: Episode timestamps and transcript produced using AI tools.
Introduction and Pace of AI Change (00:00:00) Discussion on the unprecedented speed and velocity of technological change, especially with AI.
Podcast Introduction and Guest Overview (00:00:26) Host introduces the podcast, the episode’s topic, and the guest, Isaac Park.
Defining Agent AI vs. Large Language Models (00:01:09) Explains what agent AI is, how it differs from large language models, and its core capabilities.
Agent AI Use Cases and Healthcare Applications (00:02:43) Describes agent AI’s potential to mimic human workflows and its analogy to customer service bots.
Appropriate Use Cases in Healthcare (00:04:31) Agent AI’s current use in low-clinical, high-administrative tasks like scheduling and EHR management.
Limitations and Human-in-the-Loop Necessity (00:06:09) Discusses why agent AI shouldn’t be used alone in high-stakes clinical decisions; need for human oversight.
Agent AI as a Tool for Physicians (00:07:16) Frames agent AI as a tool to empower clinicians, not replace them, and parallels with other tech advances.
Impact on Clinician Performance (00:08:23) How AI tools can amplify both good and bad performance, based on user expertise.
Building and Maintaining Trust in AI (00:09:31) Addresses the importance of trust, transparency, and evidence in AI adoption among clinicians.
AI in Staffing and Documentation (00:11:32) Explores AI’s role in automating scheduling and its success in clinical documentation (ambient scribing).
Future Steps in Documentation and Efficiency (00:13:49) Considers whether agent AI can further automate tasks like billing and multi-step processes.
Complexity and Limitations of AI in Healthcare (00:14:26) Explains healthcare’s complexity, AI’s struggles with structured tasks, and why full automation is risky.
Point Solutions and Future AI Trends (00:18:27) Predicts proliferation of small, effective AI tools in healthcare, but questions full autonomy.
Prospects for Artificial General Intelligence (AGI) (00:20:13) Discusses fluctuating industry opinions on AGI and the rapid pace of AI development.
Closing Remarks and Outro (00:21:52) Wrap-up of the conversation, thanks to the guest, and podcast subscription information.
Music Credits:
Saxophonia by Offenbach Project - stock.adobe.com
Relaxing Lounge by Classy Call me Man - stock.adobe.com
COCKTAIL by Mythical Audio - stock.adobe.com
Editor's note: Episode timestamps and transcript produced using AI tools.
Introduction and Pace of AI Change (00:00:00) Discussion on the unprecedented speed and velocity of technological change, especially with AI.
Podcast Introduction and Guest Overview (00:00:26) Host introduces the podcast, the episode’s topic, and the guest, Isaac Park.
Defining Agent AI vs. Large Language Models (00:01:09) Explains what agent AI is, how it differs from large language models, and its core capabilities.
Agent AI Use Cases and Healthcare Applications (00:02:43) Describes agent AI’s potential to mimic human workflows and its analogy to customer service bots.
Appropriate Use Cases in Healthcare (00:04:31) Agent AI’s current use in low-clinical, high-administrative tasks like scheduling and EHR management.
Limitations and Human-in-the-Loop Necessity (00:06:09) Discusses why agent AI shouldn’t be used alone in high-stakes clinical decisions; need for human oversight.
Agent AI as a Tool for Physicians (00:07:16) Frames agent AI as a tool to empower clinicians, not replace them, and parallels with other tech advances.
Impact on Clinician Performance (00:08:23) How AI tools can amplify both good and bad performance, based on user expertise.
Building and Maintaining Trust in AI (00:09:31) Addresses the importance of trust, transparency, and evidence in AI adoption among clinicians.
AI in Staffing and Documentation (00:11:32) Explores AI’s role in automating scheduling and its success in clinical documentation (ambient scribing).
Future Steps in Documentation and Efficiency (00:13:49) Considers whether agent AI can further automate tasks like billing and multi-step processes.
Complexity and Limitations of AI in Healthcare (00:14:26) Explains healthcare’s complexity, AI’s struggles with structured tasks, and why full automation is risky.
Point Solutions and Future AI Trends (00:18:27) Predicts proliferation of small, effective AI tools in healthcare, but questions full autonomy.
Prospects for Artificial General Intelligence (AGI) (00:20:13) Discusses fluctuating industry opinions on AGI and the rapid pace of AI development.
Closing Remarks and Outro (00:21:52) Wrap-up of the conversation, thanks to the guest, and podcast subscription information.