John Beadle

There we built a company called Evandra where we actually acquired two of the leading owners of imaging assets in the US and then linked those imaging data sets to the data within our health system partners and provided them a revenue share back.

And then are able to offer those to life sciences, to AI companies that need training data, to researchers, et cetera, to be able to do things like decentralized clinical trials, AI-enabled drug discovery, lots of different use cases.

That's a revenue share model where we will monetize those data sets on a de-identified basis to life sciences, to AI companies, et cetera.

And then the health systems that participate in the generation of that particular data set will receive a revenue stream back.

And so most of them typically view it as additive to other strategies they might be leveraging to monetize their data.

So I think the biggest one right now that folks are really eager to try to drive greater efficiency around is roughly one out of every four dollars we spend as a health care system is on administrative costs.

And I think the biggest, fattest, lowest hanging fruit right now as it relates to AI agents and Gen AI is around how do we create a lot more efficiency in those back office processes.

And so there's a lot of time that's being spent on revenue cycle, for example, lots of focus on...

billing, on case management, care management as well.

How do you control costs a lot more effectively throughout the system using AI?

And so we're spending a lot of time there.

And then I think an area that is emerging and folks are getting a lot more comfortable with is now around how do you leverage similar technologies to interface with patients?

just because hospitals do not have enough capacity throughout the system to be able to manage the amount of patient communications, care navigation, care management, et cetera, that's required to be able to provide a great consumer experience.

And I think they're under more pressure than ever given all the new entrants into healthcare who are trying to compete, particularly for commercial patients, which they rely on to be able to drive margin to the system and subsidize all the government payers.

and folks that have government insurance, where they typically will either just barely break even or lose a lot of money.

And so now that you have Amazon, payers, lots of private equity sponsored type new entrants coming into the market to target those patients, I think health systems are really eager to think through how do we create a consumer experience that is similar to how other industries are able to treat their customers as consumers, not just as patients.

And so

I think there's a lot more comfort now that we've seen where impact is really driven, where there's risks, how you mitigate against hallucinations and areas where you could create a lot of problems if you're not able to safely deploy the technology.

And so I think there's more openness than ever to how do we actually leverage these technologies to improve patient care much more directly.

I think one of the questions we spend probably more time discussing than any other is where is there a right to win for different constituencies?