Today in health, it in video wants to replace nurses with AI for $9 an hour. Today, we're going to talk about it. My name is bill Russell. I'm a former CIO for a 16 hospital system and creator this week health set of channels and events dedicated to transform healthcare. One connection at a time. We want to thank our show sponsors who are investing in developing the next generation of health leaders.

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This was a hot topic yesterday. I put it out on LinkedIn. In fact, I'm getting in the habit of putting the story. I'm going to talk about the next day. Out on LinkedIn to get some feedback from the industry. It's just something I'm trying out and it seems to be working pretty well. So a story is from a Gizmodo. And essentially it's this, I'm not going to read too much from the article, but Nvidia has partnered with Hippocratic AI. To introduce gender VI nurses, offering healthcare providers and affordable option to address worker shortage.

Has these AI nurses costing $9 an hour can provide patients with medical advice via real-time video calls, a significant savings compared to $90 an hour. Hourly $90 hourly rate for human nurses, Nvidia powers, the technology enabling these AI agents to deliver human like responses. The collaboration aims to alleviate the escalating nursing crisis underscored by widespread strikes and shortages within the industry.

This initiative alongside invidious, other announcements at the 2020 Ford GTC conference. Reinforces the company's influence and advancing AI technologies across various sectors. So interesting because Nvidia. Has launched a ton of partnerships. So they're going to market essentially is through partnerships. And at GTC, it. It was like an every, I dunno, every hour event that somebody else has partnered with Nvidia and they are moving things forward. So I posted this out on LinkedIn yesterday. And the responses were fantastic.

There was this great. Back and forth with people. Some of my favorites Jim St. Clair. Reagan singer Dr. Reagan sicker, Teran Shipley, some others. Thai cook, Jason Taylor. So some Some people have engaged in this people. I really respect Taren ship Shipley. Gave us a set of questions, which I think is really relevant.

And I talked to directs about this on Mondays. News day. Which we recorded yesterday. You'll hear it on Monday. And the three questions that she gave us is does this devalue the role of nurses? Who is held accountable when someone something serious is missed. And there is so much potential for AI to streamline address. Administrative tasks. In healthcare, are we pushing AI in all the wrong places by using it for higher stakes patient facing use cases? All right. So here Yeah, it's. So let's just break these down. That's probably the best way to do it. Does this de-value the nurse's role. No. It does not is the quick answer to this to the question. It changes the nurses role. And those things that, and by the way, this isn't just nurses.

This is every role out there. You're feeling this pressure from AI around you. It's it can now do parts of. Almost everybody's job. It can do maybe 1% of somebody's job or it can do 20, 30, 50% of somebody's job. And the question is, what does that mean for the role? And, as I'm looking at, some of the things we're doing today and some of the things. In media, it has a significant impact and you could see 20, 30, 40, 50, 60% of a job being completely morphed and changed. And what we are saying to me, what I'm saying to my team is learn to use AI, become an AI, empowered human. So that you can, you can escalate the things that you're working on and you can get done the things that were mundane tasks a lot quicker, and we will find higher.

We will elevate the role that you're currently in. As you become more efficient and better with the things that you have. And I think the same thing's true of nursing. Having having AI answer very simple and easy. Telehealth kind of questions by It's already happening. People used to go to web MD.

Then they used to go to Dr. Google. Now they're going to chat GPT and it's answering questions. People are already asking it questions. .

So we come back to the question. Does this devalue the role of nurses and the answer is no, it doesn't devalue the role of nurses. It changes it. Significantly. So there's going to be administrative tasks to get taken away. We have ambient clinical listening, which is a form of AI, which is taking the burden off of the clinician.

Hopefully freeing up more time. To be in front of the patient to do things that only a human can do. And Hippocratic is just one of the companies that's doing this, but Hippocratic is interesting because they are really focused on healthcare general intelligence. A form of artificial general intelligence is considered the pinnacle of of artificial intelligence.

We're not there yet, but they're doing a lot of research. They're heavily focused on safety and safely implementing AI. In clinical settings in partnership with providers. So I don't believe they're trying to go directly to the consumer. They are trying to go through the providers and provide a suite of services that alleviates the problem of the clinician shortage.

All right. So I don't believe it devalues the role of the nurses. Just I don't believe this is going to devalue the role of a lot of other people. In. Quite frankly, every industry. That is feeling the pressure of AI right now. Second thing who's held accountable when something serious is missed. ,

Later down in the comments. Jim Sinclair says AI doesn't have to legally practice medicine, FDA approved software as a medical device. Where the software fits the regulatory definition, but if it doesn't meet the criteria, it. It's not needed. AI is already being used to improve diagnosis of life or death situations, especially in imagery.

So not sure where 70% referenced he's referring to somebody else's. Comment, but it's a it's a valid question. And actually it is the million dollar question who is held accountable when something serious is missed. This is why we step into this slowly. And it really answers the third question, which is AI is being Really addressing the administrative tasks.

That's where it's primarily being focused. But as Jim points out, it's already prevalent in a lot of different areas outside of the administrative area. It's not like we're pushing a clinical use cases that we haven't had before. We have been pushing AI into clinical use cases for a while. Now, again, we want to step into this slowly on the clinical side. But with that being said, There's this whole idea of copilot, at least today, there's this idea of copilot. And that is AI assisted to humans.

The AI comes alongside it assists the human will review the information. And then approve the information or approve the sending of that information. That's what you're seeing. With the AI generated notes, it generates the notes, the Clinician will look at it. They will review it and then they will hit send, or they'll modify it and hit send, or they'll just delete it and write their own note. So that's what we're seeing on the AI clinical notes.

Just one example of a co-pilot kind of a methodology. That's how it's going to start. But I don't believe that's where it's going to add. I think if we fast forward this five years from now, I think what you're going to see. Is that AI will outperform humans in a lot of cases. And I know that's hard to imagine today.

We talked about hallucinations and those kinds of things. But I think you're going to see this thing. Just really tightened up. Over the next five years. And I don't think we have to wait five years. It's tightening up now. I think what we will be talking about a year from now will be dramatically different than what we're talking about today.

The pace at which this is moving is unbelievable. And it's getting better by the minute, by the day. And there's a ton of money. And there's a ton of resources in there. A ton of intelligence. Human intelligence around this right now. There's a race going on. This is like the space race. There's just so much energy being put around this. That it is going to make significant progress very rapidly. And we're feeling that, what we were talking about a year ago and what we're talking about today are two dramatically different things.

And what we're going to be talking about a year from now is going to be dramatically different. So I think in five years, we're going to see these models be tightened up significantly. We're going to see. Models using other models, in which case you're going to have specialized models that are going to be. In a specific area and a model to rule models going out and hitting those various models, bringing the information. Back together. Maybe summarizing that information and moving forward. So I, when we think about, and Charles Boise and I talk a lot about this. Humans can be wrong.

A fair number of times, and humans can even cause injury to people. But machines can't. So we worry about self-driving cars. And in reality, self-driving cars. Have what we'll probably reduce the number of accidents. That we have, it will create other problems, but it will reduce the number of accidents that we have. And we were likely at that point today with self-driving cars, I'm not entirely sure, but I do know that when you're going on highways and those kinds of things you can put on the self-driving. And it slows down.

It speeds up. And those kinds of things, we have all sorts of AI. Computer vision and whatnot being used and utilized in our cars. And it is reducing the number of accidents. And so I think what you're going to have is humans can, are, I think what we have is a situation culturally, where humans can make mistakes that harm other people.

However, machines cannot. Not even once. Can they. And we want to shut them down or shut them off. I'm not humanizing machines and saying, Hey, we should allow them to be infallible. We should strive for zero defects. When we're talking about machines, but I am saying that culturally, it's an interesting thing

That we can reduce the harm significantly down. But still we won't do it because we're more comfortable with a human in the loop rather than a machine in the loop. Look, I get it. I understand that culturally, we're going to have to figure it out and we're gonna have to figure out the safety. Mechanisms around it to make sure that that machines are always being driven by humans and humans.

We trust and there's transparency around it.

Anyway, big topic. And I think it's going to keep coming up over and over again, but that's all for today. Don't forget. Share this podcast with a friend or colleague.

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