AI adoption: why you can't afford to "wait and see"

It is no question that we are in an unprecedented era of technological change. Large language models and the rise of generative AI have dominated industry conversations in recent months, and for good reasons. It's clear that AI is here to stay, but what isn't so clear is how the industry should adopt it. Should you run headfirst into experimentation? Or wait for data and case studies before implementation?

In this episode, host Rachel (Rae) Woods invites Advisory Board digital health experts Ty Aderhold and Elysia Culver to discuss how the industry needs to be thinking about AI adoption and integration. Throughout the conversation, they discuss what we can (and cannot) learn from past technologies, what it means to be an "early mover" or "fast follower," and why taking an incremental approach can empower your business strategy.

Have a healthcare question? Want to learn more about what goes on behind-the-scenes at Radio Advisory? Submit your question and we may use it in our final episode of 2024! Email podcasts@advisory.com or leave us a voice message by Thanksgiving for consideration. Thanks!

Links:

• The best AI strategy isn't about AI
• Overcoming AI challenges to unlock potential
• Leading the way: How health system executives approach AI in healthcare
• Ep. 180: Tom Lawry on why AI has a PR problem
• Ep. 138: Microsoft's head of AI on building ethical systems

Visit advisory.com/AIstrategy to learn what's necessary for AI to drive transformative outcomes in the healthcare landscape.

A transcript of this episode as well as more information and resources can be found on radioadvisory.advisory.com.