Rita Khan on Digital and Personal Transformations

I, I, and I love this conversation because so many folks in our community are thinking through, like, you know, what's the next thing for me, or I wanna really get involved in, like, big transformation.

What is it like in, you know, other regulated industries or industries that aren't, um, necessarily tech for, uh, in tech.

And I think that these, these, uh, these insights are really important.

So going into talking more specifically about AI and, you know, everyone's talking about AI is transforming healthcare.

Like, for, from your perspective, like, what is mostly hype, and where is it actually really working well right now?

No, I, I appreciate, appreciate that.

So healthcare is, like, one of the, like, most aggressive adopters of AI, right? Like, some, again, sometimes we think of healthcare as, as sort of like a laggard.

Yes, it is sometimes on user experience for sure.

Mm-hmm.

Um, but for, for AI, it's, it's been an early adopter, experimenting as early as the '70s.

Yeah.

Um, and of course the last three years have been pretty significant.

Um, I'd say about 22% of healthcare organizations have been using domain-specific AI tools already, which is actually high compared to, like, the general, um, population of companies is around 9%.

So healthcare is aggressively using AI.

The, the areas where I think that it's been, um, pretty successful, I'll highlight three, but there's lots of different areas across, like, the whole healthcare industry.

Uh, but the first one is around ambient clinical documentation.

So one of the biggest areas of, of sort of frustration for physicians and burnout is having to, you know, we call it, like, charting, right? When they're, when you're sitting with your patient, you're sort of charting.

And so this, this ambient clinical documentation, you probably have seen when you go to the doctor, they might ask you, "Hey, can I turn on the Scribe to record this?" Those tools are really important, um, uh, significant, I think, advancements, um, for just the clinical practice because of, of AI's ability to do that, which, which is really good.

The second area or tranche I think of, of, um, of impact is around revenue cycle, um, or administrative operations.

Healthcare is really burdensome and fragmented from an operational standpoint.

And so agents, whether it's, you know, AI, machine learning, or agentic solutions, being able to, um, help, uh, a healthcare organization figure out, you know, d- does an insurance provider, uh, need a pre-authorization, and be able to, um, you know, automate that process has been incredibly helpful, uh, for organizations bringing the cost-

Yeah

... of care down, but also helping, you know, an administrator do what matters most, which is actually spending time with the patient.

So that's a second area.

Um, the third one I would say is, is more, like, predictive operations and, and utilization management or population management.