AI in healthcare: Regulated, not paralyzed

When people hear about AI in healthcare, many think of chatbots or futuristic robots. The reality is more practical and, frankly, more interesting. This keynote is for healthcare employees, partners, and customers who want to understand where AI already creates value today and how to move forward in a highly regulated industry.

Key takeaways from this keynote:

1️⃣ AI is already used across multiple functions in healthcare, far beyond chatbots.
2️⃣ Regulations support safe and trustworthy AI rather than blocking it.
3️⃣ Healthcare AI adoption works best when you combine solid AI use cases with clear governance.

If you are planning an event for healthcare professionals and want a grounded, realistic view of AI in healthcare, get in touch to book this keynote. We can adapt the examples to your market, audience, and regulatory context.

We start with a clear, non-technical explanation of what AI is and why it is more than chatbots. I show concrete use cases for AI in healthcare, including how AI supports marketing, sales, and operations, from customer segmentation to resource planning and treatment predictions. The focus is on real use cases that respect the specific constraints of the healthcare sector and are understandable for non-technical audiences.

A common belief is that regulations block innovation. My experience from several years in pharma is the opposite: in regulated industries such as healthcare, regulation can be an enabler. Clear rules for data protection, validation, and transparency create trust, and trust is essential for healthcare AI adoption. In this keynote, you will see how organizations can design AI initiatives that are compliant by design and how regulations can even increase innovation.