Reducing Nursing Burden by 70% with AI Voice Assistants

So Sarah, I, I feel there's a fundamental operational challenge, and clinicians today rely on many different tools, you know, be it from Zebra mobile devices to smart thermostats, to deliver care.

Uh, does this slow down workflows for clinicians?

Yeah.

So for sure.

It's, um, for our clinicians, this makes the, the care very fragmented.

So, um, there's obviously a lot of research around, um, documentation burden, right? So the, the documentation-

Yeah

... that we have in the EHR is, you know, taking up 25 to 40% of a nurse's time in, um, giving them burden.

But what the emergent- the emerging evidence is showing that not only is there a documentation burden, there's also a technology burden.

So sometimes nurses will have to up- uh, interact with, like, upwards of 13 different fragmented systems, and you have to know how all those systems work, how and where to access them.

So thinking, like, I wanna use a video translator.

I gotta go get an iPad in the hallway.

I need to look up a pol- policy and procedure.

I have to find the right computer that has them all loaded and be able to search it.

Um, you know, I need to enter a service request.

I might have to find another computer to search it.

I also have my mobile apps that I have to access with.

So all of that requires a lot of context switching, and that's also leading to burnout.

So it's, it makes it, um, more fragmented.

So our, our goal is to bring all of those different technologies under one usable, voice-activated interface.