Jun 9, 2026 · 1 hr 16 min · 11 segments
In this episode of When Health Freezes Over, Host Omar Haq is joined by guest January Montaño, MPS, CEO and…
January MontañoGuest
Omar HaqHost
So, and this is something that I look at myself being sort of, you know, even though I'm the host here, I re- really look at myself as representing everybody who's curious about what is this AI.

Where it is everywhere in healthcare right now, but it means very different things depending on who's using it.

So before we go any further, let's get grounded on what are we actually talking about when we say AI in the context of health plans and hospitals.

So I think the, the first thing I wanna do is differentiate between automation and artificial intelligence, because this is one of the most expensive mistakes that health plans or health systems can make.

You know, if it breaks or if it acts in an uncertain way or in a way that it shouldn't, you can follow those programmable steps back to where it made the error.

You know, that's why auditing is so important because it is difficult to go back and say, "Okay, where did AI make this decision?" Because really, artificial intelligence is developing rules on its own.

So just to ground us, uh, like you said, Omar, to begin with, right? Algorithms are, uh, those step-by-step instructions that, you know, tells a computer kind of what to do.

And every AI model or platform out there, right, algorithms are the basis of AI.

They, instead of being told if this, then that, they will identify patterns and improve over time.

And if the data reflects an underinvestment in, say, Black populations, it will permeate bias in the rest of its learning.


They are, you know, in healthcare, they're powering ambient documentation tools and answering questions for member chatbots.

So, and this is something that I look at myself being sort of, you know, even though I'm the host here, I re- really look at myself as representing everybody who's curious about what is this AI.

Where it is everywhere in healthcare right now, but it means very different things depending on who's using it.

So before we go any further, let's get grounded on what are we actually talking about when we say AI in the context of health plans and hospitals.

So I think the, the first thing I wanna do is differentiate between automation and artificial intelligence, because this is one of the most expensive mistakes that health plans or health systems can make.

You know, if it breaks or if it acts in an uncertain way or in a way that it shouldn't, you can follow those programmable steps back to where it made the error.

You know, that's why auditing is so important because it is difficult to go back and say, "Okay, where did AI make this decision?" Because really, artificial intelligence is developing rules on its own.

So just to ground us, uh, like you said, Omar, to begin with, right? Algorithms are, uh, those step-by-step instructions that, you know, tells a computer kind of what to do.

And every AI model or platform out there, right, algorithms are the basis of AI.

They, instead of being told if this, then that, they will identify patterns and improve over time.

And if the data reflects an underinvestment in, say, Black populations, it will permeate bias in the rest of its learning.


They are, you know, in healthcare, they're powering ambient documentation tools and answering questions for member chatbots.
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