Dr. Jigar Patel
speaker
105 appearances
1 recordings
1 series
first heard Dec 2023
last heard Dec 2023
Dr. Jigar Patel’s voice in public audio — every appearance, attributed to the second.
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Yes, thanks, Stan. Thanks, Clarence. Thanks, team, for having me. My name's Dr. Jigar Patel, as Stan said. I've been at Cerner, now Oracle, 16 plus years. And I started as a pathologist. Transfusion medicine was my subspecialty in clinical practice. I was at the University of Kansas Medical Center before joining Cerner. Kind of lucky happenstance in my career. I was in Kansas City.
Cerner was based in Kansas City. I have an engineering undergraduate, so I was kind of, and as a pathologist, always involved in informatics. In most of my time at Cerner, I was on the client side. I did sales, implementations, the whole nine yards of client interactions, led various groups from a chief medical officer responsibility
And then eight years ago, I finally dove into product management and joined a team that is composed almost entirely, which is composed entirely, except for myself, of legacy Oracle people. So I was a stranger in a strange land. I was the only clinician in the group. And I was the only legacy Cerner guy in the group.
So that had a bunch of different implications, but then got to dive in and understand artificial intelligence and our strategies going forward from a cloud delivery perspective, and then how we're going to bring it to healthcare specifically. So very excited. I talk about this topic all day, every day. So I love talking about it and happy to be here and talking to you folks.
Yeah, artificial intelligence is a machine mimicking human capabilities. And so that one simple example of how to think about that is, how do I understand someone you stand talking to me? That's speech AI. How do I take a conversation or voice and turn it into some digital text? So that's one example. How do I understand? Once I've got that digital text, then I can apply a language service.
How do I understand that text in some way? Other kind of what I would refer to as pure AI services are things like vision. How do I take an image or a video or something and perceive it? How does a computer machine perceive it in a way that's useful and interprets like a human would?
It's both, I think. There are lots of people that are starting to organize their lives. And the services, the AI services I refer to are kind of, like I said, pure. The real power is when you start to aggregate them together. If you take speech and language and generative AI and And I say, okay, I understand what you're saying to me. I interpret that thing.
And then I create content from it using a generative service. That's when you start to get real power. Another simpler example is document understanding. Using a vision service, I understand what's on a page. I take the text off it, turn it into language, and then interpret and codify in a way that can be reused. Now, Individually, I was thinking about this this morning.
I was thinking, hey, why am I not using AI services in my own organization of myself and augmenting me and automating some of me in a way that's useful? And so I have to sort through that from a personal philosophical level first.
But then on the professional side, you can think of it as a, it's useful to a professional, but then it can be useful to larger and larger groups as you think about the density of data and the amount of data. And how do you look at those things and understand those things in a way? We've talked about this in analytics a lot. How do I roll up dashboards and those sorts of things?
The same concepts apply to AI. So I think to your question, Stan, it can apply at very human individual level all the way through to massive organizations and how do they organize operations and other aspects of their business as well. All right, Clarence.
Yeah, the joke I have is Skynet is here and it's coming. So watch out for your Terminators. They're around the corner. I have a friend who will, when she talks to her Alexa, she says, please and thank you. Because when the AI overlords come, she wants to be thought of in a good way. So it's those kinds of things. She wants to be polite. She wants to be polite now so they like her later.
So it's definitely there. There's a lot to think about from a safety perspective. putting guardrails. I think some of what you've heard from the Elon Musks of the world and others is that government needs to step in and organize this and keep it in the box, so to speak, because unfettered humans will be humans and push the limits on all of it.
In healthcare specifically, there's real jeopardy when you think about hallucinations, bias, and other things that can be introduced, not necessarily intentionally, but unintentionally, right? That could lead to misdiagnoses, could lead to the wrong treatment plan. So I, in particular, when I talk to clinicians about this, I say, let's think about the automation first.
How do I make things useful to you today that you validate? and no, right, creating a note out of other text that may be in the chart is an example. The clinician is still responsible for the validity of that information. as soon as I start making recommendations to treatment, that's where we get into a funnier territory, right?
That's when you start to get into jeopardy, when you think about safety, where you think about guidance. FDA does this for medical devices, right? And so it will be, it feels like an inevitability that government, FDA in the healthcare space will have some oversight like they do for medical devices or biologics, et cetera, in making sure they're valid and useful.
Now, on the counter to that, 70% of what doctors do, this is a colleague of mine that I've known for a long time. He was the chief medical information officer of a very large health system in America. He's like, 70% of what we do in primary care is known. Let the computer help automate that so that I can use my physician brain on the other harder 30%.
So what's the advantage to the clinician there is that then that clinician can unburden themselves of that stuff that they don't necessarily need to recall, makes their day easier, but then really apply their intellect and that knowledge and that years and years and years of training to those other things. So there's going to be a totally roundabout conversation. I apologize.
But when you think about the evolution from the end point being safety and those sorts of things, it's going to be a gradual evolution to that problem. And we've got to be very cognizant along the way of how we're doing that and make sure the human stays in the loop.
and their intellect actually applies i i'm most fearful of the human just wiping their hands of it and letting people just letting the ai just do things for them and there are some that do that already and so that that makes me fearful for us but let me let me ask a couple you know it's kind of like i'm thinking i'm trying to put my my head around the idea if someone knows nothing about
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