Sarah Fuentes Molina

And that increased amount of control that we have, that reduced long-term operational cost is going to mean that the field more people believe the fight is winnable and are going to be getting involved. And therefore, we are going to need more people at that nexus to help understanding from both sides and to foster that innovation.

And that increased amount of control that we have, that reduced long-term operational cost is going to mean that the field more people believe the fight is winnable and are going to be getting involved. And therefore, we are going to need more people at that nexus to help understanding from both sides and to foster that innovation.

I'm going to go right back to deep seek and open source AI. It's so exciting because deep seek and Open source generative AI is giving us so much more control and reducing long-term operational costs. It's dispelling the notion that only open AI and anthropic and the ethics of the world can do this.

I'm going to go right back to deep seek and open source AI. It's so exciting because deep seek and Open source generative AI is giving us so much more control and reducing long-term operational costs. It's dispelling the notion that only open AI and anthropic and the ethics of the world can do this.

And so that means it's worth for us as healthcare leaders to look for ways to increase control and decrease costs and not just let the big players accrue all of the value. On some level, if you're a health system, 10 years from now, you will be paying for AI to help in both clinical and non-clinical ways.

And so that means it's worth for us as healthcare leaders to look for ways to increase control and decrease costs and not just let the big players accrue all of the value. On some level, if you're a health system, 10 years from now, you will be paying for AI to help in both clinical and non-clinical ways.

The exciting question that I see is, are you going to pay to develop these capabilities internally and in a way that's tailor-made to your population and your organization's needs? which is now a possible?

The exciting question that I see is, are you going to pay to develop these capabilities internally and in a way that's tailor-made to your population and your organization's needs? which is now a possible?

Or are you paying for a startup somewhere to achieve a venture scale outcome where they develop a generic solution that they can sell to many organizations and overcome a long competitive sales cycle, essentially higher cost for less value? That's the space that is most exciting for me now because we're going to be able to build this on our own terms.

Or are you paying for a startup somewhere to achieve a venture scale outcome where they develop a generic solution that they can sell to many organizations and overcome a long competitive sales cycle, essentially higher cost for less value? That's the space that is most exciting for me now because we're going to be able to build this on our own terms.

Absolutely. A common refrain that I hear from my peers and from other health executives is we are in the tech business and we can't get involved in that game. We're going to have to outsource that. But the reality is that you're in health care and this is what the industry will look like in 2035. Just as health care today includes, you know, big, impressive buildings.

Absolutely. A common refrain that I hear from my peers and from other health executives is we are in the tech business and we can't get involved in that game. We're going to have to outsource that. But the reality is that you're in health care and this is what the industry will look like in 2035. Just as health care today includes, you know, big, impressive buildings.

We're not in the real estate business, but we still purchase land and design those buildings instead of attempting to perhaps retrofit a rented space. And that's a great analogy on how important it is to take the initiative and not wait for those giant enterprise companies like OpenAI to commercialize innovations.

We're not in the real estate business, but we still purchase land and design those buildings instead of attempting to perhaps retrofit a rented space. And that's a great analogy on how important it is to take the initiative and not wait for those giant enterprise companies like OpenAI to commercialize innovations.

And the pep talk that I give here is that we assume that a technology company is going to be better at health care than will be at tech. But medicine is not easy enough that they can develop that capability quicker and better than we can develop a tech capability ourselves. So get started now building this capability in-house.

And the pep talk that I give here is that we assume that a technology company is going to be better at health care than will be at tech. But medicine is not easy enough that they can develop that capability quicker and better than we can develop a tech capability ourselves. So get started now building this capability in-house.

And to your point, there are outstanding teams available that partner with health systems and life sciences. In fact, one of the companies that I currently work with, Hoplabs, specializes in these sorts of partnerships to help you figure out how AI can serve your use cases. and translate that research-grade innovation into scalable real-world impact for your organization.

And to your point, there are outstanding teams available that partner with health systems and life sciences. In fact, one of the companies that I currently work with, Hoplabs, specializes in these sorts of partnerships to help you figure out how AI can serve your use cases. and translate that research-grade innovation into scalable real-world impact for your organization.

So you don't have to be the expert all alone, and you don't have to depend on the behemoths in the world and the McKinsey's and the Bain's. They can even assist in vetting and hiring in-house AI talent, which is a challenge for businesses that don't have that skill set in-house already.

So you don't have to be the expert all alone, and you don't have to depend on the behemoths in the world and the McKinsey's and the Bain's. They can even assist in vetting and hiring in-house AI talent, which is a challenge for businesses that don't have that skill set in-house already.