John Beadle

Healthcare had not.

Many argue that it's actually become less productive as we brought new technology into the fold.

And so it became evident to me that health care was going to need to catch up in that regard.

And that just given the huge new wave of care that's going to be required as the baby boomers are retiring and our country is getting older, the technology was going to have a huge role to play in that.

And so none of us saw what was going to happen with chat GPT and Gen AI.

It's been a huge accelerant to all of our work.

But from a structural perspective, you know, we were going to need to be able to develop new technologies in close partnership with health systems built by health systems for health systems, not, you know, folks having technology thrust upon them that don't integrate with workflows, that don't align with their day to day realities, et cetera, which is a lot of how the last generation of health tech companies were built.

So we just saw a huge pull for this type of approach.

So we've always been focused on AI from the very beginning.

I think what is now possible leveraging these novel forms of AI is now totally different than it was a couple of years ago.

And when you look at the first wave of healthcare AI,

A lot of it was deeply clinical and deeply regulated, and so it would only affect narrow elements of the overall set of workflows that exist within health systems.

When we saw ChatGPT launch and GenAI just start to unfold in healthcare, and we've been fortunate enough to be on the front lines and have access, extraordinary access to workflows, data, et cetera, to be able to test these technologies, once that toolkit became available,

what was possible using AI became completely different.

So all of a sudden you could affect really broad system level type transformations where you could take entire horizontal sets of workflows and processes and systems and leverage AI to execute workflows that enable much more rapid ROI.

and much more rapid transformation.

So we ended up spending a lot of time on those types of problems, which were now possible using this novel form of Gen AI that was available.

But I think the thesis has stayed relatively the same, which is where do we find really kind of painful problems in healthcare that technology can make a major impact in and where incumbents are not delivering solutions that our customers are in need of.

So one company that we built from the ground up, this one is front of mind because I was just at a board meeting for it two hours before this is called Ascertain.

which is focused on automation for back office processes.