254: Stop searching for the “perfect” AI product and do this instead
AI in healthcare isn’t plug-and-play. Success depends on how organizations align tools to problems, manage risks, and invest in smart governance.
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Show Notes
Artificial intelligence (AI) continues to generate excitement across healthcare, promising to reduce clinician burnout, fuel innovation, and ease financial pressures. But despite the hype, AI is far from a “plug-and-play” solution—and simply investing in AI won’t guarantee success.
This week, host Rachel (Rae) Woods is joined by Advisory Board AI expert Ty Aderhold to explore what it really takes to see value from AI in healthcare. Together, they unpack:
- The current reality of AI’s return on investment
- The hidden risks—like bias, hallucinations, and uneven adoption—that leaders must manage
- Why leaders should resist the urge to merely copy others
- How to build the internal capabilities and governance needed for sustainable, high-impact AI adoption
Instead of chasing the latest tech trend, leaders should take a problem-first approach—investing in the right governance, expertise, and evaluation to ensure AI solutions are aligned with their organization’s needs.
Links:
- Ep. 220: Why AI in healthcare is more than just ChatGPT
- Upcoming webinar: AI in healthcare: Use cases, emerging risks, opportunities, and more
- Healthcare in 2025, part 2: How AI is shaping care team roles
- 3 paradigm shifts in healthcare: Cheat sheet series
Radio Advisory Tech & AI playlist
Survey insights: What to know about the clinician workforce today
A transcript of this episode as well as more information and resources can be found on RadioAdvisory.advisory.com.