AI Is Here. Now What? Healthcare leaders are moving past the initial hype to address the practical realities of implementation and governance. A panel at the upcoming Healthcare Innovation San Diego Summit will focus on real-world applications and the necessity of rethinking how the industry governs emerging technologies.
Chad Wilson, founder of Wild Duck Labs and a former CISO, argued that traditional governance structures often fail with artificial intelligence. He noted that many organizations mistakenly treat AI as just another software tool. This approach exposes the holes in existing governance programs rather than fixing them.
“Regular governance programs will not solve AI,” Wilson said. He explained that AI increasingly makes judgments during processes, not just executing predetermined rules. This shifts the responsibility of decision-making to machines, which requires a fundamentally different approach to oversight in healthcare.
The panel, titled “AI Innovations and Disruptors in Healthcare,” will explore this accountability gap. Participants will discuss who is responsible for AI-generated decisions, what judgments are being delegated, and how organizations can understand the outcomes when errors occur.
Related: UofL Health Saves $1.5M Monthly on Anesthesia
The conversation also addresses the immense amount of hype currently surrounding the sector. Tyson Blauer, senior insights director at KLAS, questioned what health systems are actually doing with the technology. He pointed out the difference between what AI can do and what is genuinely moving the needle.
Allie Lutin, senior product marketing manager at CallRail, emphasized that the focus is shifting toward return on investment. She noted that organizations are now asking harder questions about the problems they are solving. The goal is to determine if AI produces a meaningful outcome or if it is simply a new tool for an old process.
Adam Cherrington, founder of Aligned Health Advisory, offered a simple metaphor for this shift. He said people often buy a hammer to build something, not just to hit something. The industry is now asking what they are building with AI rather than just deploying the technology for speed.
A critical point raised during the prep conversation involves the potential to automate inefficient workflows. Tyson Blauer suggested that sometimes the answer isn’t automation. He used the example of prior authorization, a notoriously cumbersome process.
Healthcare has spent years trying to make this process more efficient through technology. However, AI might help automate pieces of a broken process without solving the underlying issue. The panel will consider whether healthcare should redesign the process itself rather than trying to digitize a flawed system.
Related: NYU Langone, Dana Farber Partner on Oncology Platform
Panelists plan to cover patient engagement, revenue cycle management, data silos, and interoperability. The discussion will also look at personalization and the growing number of AI solutions entering the market. Leaders will identify where real progress is happening and where organizations are getting ahead of themselves.
Healthcare leaders need to hear about solutions, ideas, and actual wins rather than reasons why the industry is difficult. The event will feature an interactive format where audience questions are welcome throughout the session.
Wilson, Blauer, Lutin, and Cherrington will join a group of peers to discuss these topics in depth. Attendees can expect a deep dive into the practical mechanics of AI adoption.
The session highlights a specific case study from UofL Health, which has achieved significant financial results through the use of an anesthesia management platform. The organization reportedly saves $1.5 million monthly by utilizing this technology. This kind of tangible financial impact is a central theme of the discussion.
