in health, it epic taps Microsoft to integrate generative AI into EHRs. With Stanford U C S D as early adopters. My name is Bill Russell. I'm a former CIO for a 16 hospital system and creator of this week Health.

A set of channels dedicated to keeping health IT staff current and engaged. We wanna thank our show sponsors who are investing in developing the next generation of health leaders. Sure. Test and Artis site. Check them out at this week, health.com/today. All right, so we have been doing these fundraisers and as part of these programs throughout the year for Alex's Lemonade stand Raising Money for Cures for Childhood Cancer.

, we did the, , one at five. We did the one at hems, and we are up over 20. I think $23,000 raised in those two events, , which takes us over $30,000 for the year. , I don't have an exact number right now, but we are so grateful for the participation in the community on our way to our goal of raising $50,000 this year for, , childhood cancer and cures for childhood cancer.

And we would ask you to continue to join us. Hit our website. Top banner. Your skin is, see Alex's lemonade. Stand there. Go ahead and click on that and give Today we believe in the generosity. Of our community. All right. As I said earlier, a lot of generative AI conversations going on at hymns and at VI for that matter.

I mean, generative AI is what everybody's talking about. I think because people who are using it get more and more excited, they see more and more use cases. So it is exceeding expectations. So it's almost breaking the hype curve. It keeps going up. So, , this is the. Release Epic taps Microsoft to integrate generative AI to EHRs with Stanford and uc, SD as early adopters.

This is Heather Landy out of , fierce Healthcare. Here's the article. As the use of generative AI and healthcare starts to get off the ground, health it giants. , epic tapped Microsoft to integrate large language model tools and AI into its electronic health record software. , that's huge for so many reasons.

One is Epic doesn't generally do this, and, , and I think it, it, it will move them faster than it would normally have moved. And so I'm, I'm really excited about this. We'll see how it goes. Microsoft and Epic have collaborated for a number of years, and the two companies are now expanding their partnership to focus on.

Combining the Azure OpenAI service with Apex EHR software, the aim is to harness generative AI to help healthcare providers increase productivity with less administrative burden while shifting their focus to patient care. The two organizations said one of the initial solutions is already underway with U C S D.

UW Health, , Wisconsin Health in Madison, Wisconsin, and Stanford Healthcare among the first organization starting to deploy enhancements to automatically draft message responses. A good use of technology simplifies things related to. Workforce and workflow said CHRO Goswami, who has been on the show several times, c I O for UW Health in a statement.

Integrating generative AI into some of our daily workflows will increase productivity for many of our providers, allowing them to focus on clinical duties that truly require their attention. Another solution will bring natural language queries and interactive data analysis to slicer dicer, epic self-service reporting tool.

The organization said our, Hmm, let's try that again. Our exploration of open AI's G P T four has shown the potential to increase the power and accessibility of self-service reporting through Slicer dicer, making it. Easier for healthcare organizations to identify operational improvements, including ways to reduce costs and to find answers to questions locally and in a broader context, says Seth Hayne.

Also a somebody who's been on the show several times, senior Vice President of Research and Development at Epic. One of the largest EHR vendors that goes on to talk about how much market share Epic has and how amazing they are, so forth and so on. That's what that paragraph is. Let's see. It goes on. It's been five months since Microsoft backed OpenAI release.

Its generative large language model chat, G P T following, , followed by G P T four in March. Now, tech giants and startups are off to the races to test out the potential of large language models and generative AI tools in medicine. In the clinical and research setting last week, Google announced it's releasing a version of its medical l l m called Med Palm to a limited, , to a limited group of users.

The announcement followed closely on the heels of Microsoft rolling out new generative AI tools embedded in its cloud computing capabilities. Health systems and hospitals are facing intense financial pressure. With rising costs and increasingly tight margins. Approximately half of the US hospitals finished 2022 with negative margins, widespread workforce shortages and increased labor expenses, as well as supply disruptions and inflationary effects caused expenses to meaningfully outpaced revenue increases.

According to data from Kauffman Hall, Eric Boyd, corporate vice president AI platform for Microsoft sees opportunities to leverage technology. To address many of these challenges, we can help providers deliver significant clinical and business outcomes leveraging the power of the Microsoft Cloud and Epic.

He said the tech giant stress that it is committed to creating responsible ai. By design that is guided by a course set of principles, fairness, reliability, and safety, privacy, security, inclusiveness, transparency and accountability. Wow, that's an interesting set of, , principles. Fairness, reliability, safety, privacy, security, inclusiveness, transparency and accountability.

The company says it's taking a cross company approach through cutting edge research best of pre-engineering systems and excellence in policy and governance. All right, so that's the release, that's the article that is in Fierce Healthcare. This is an exciting time. I was talking to somebody today and they said, Hey, looking at this company, they're doing something with, , generative AI in large language models, and it looks like this.

He said, you know, what are your thoughts? And here are my initial thoughts. This space is moving so fast. That even if you're the front runner, there's gonna be fast followers and more fast followers. I think we are gonna see more movement in this space in the next two years than we have seen in the last 20.

You know, we have looked at things like. Transcription services and they've evolved literally over about 20 years, and we're now gonna see them totally change the way we interact with the ehr, the way we interact with our data stores. It's going to become more conversational. It's really interesting to me, the, it's not that these tools are new, these tools are new.

We've had, , LLMs, , before and we've had these kind of AI tools before. Here's what's new. You and I can in, can can interact with this. It is, it is really interesting how we can just create a prompt and it gives us information back. It is now much more conversational than it's ever been before. You don't need to be a programmer.

You don't need to understand ai. , it helps to understand how to, how to ask the AI for information. There is still a, a little learning, learning curve. I'm not trying to paint this picture that it's going to understand everything. You have to be explicit. You have to train it at times. You have to give it some information in order for it to give back what you want.

But at the end of the day, the interaction, bringing this down to the level that you and I can interact with it, we can ask it basic questions. It can respond, it can, , figure things out. And match things to the questions we're asking, to the prompts we're giving it, it is, , it is really exciting and obviously to put that over top of, of Epic.

, we're also seeing announcements from, , Cerner. We're seeing announcements from, , Phillips. , we're gonna see generative AI and large language models be applied to a lot of different systems fairly rapidly. This is going to, it's gonna happen very quickly. Obviously the biggest impact in healthcare will be, , Making the EHR more usable for the clinicians, giving them more FaceTime with the patients, , making them more effective with the limited time that they do have, , generating notes.

, you name it, , messages, you name it. I mean, it really can do a lot of things. Now, clearly we're gonna have boundaries for it. We're gonna have to check its work. We're going to have to, , get more transparency into the models and understand what's going on beneath these models. But at the end of the day, this is an exciting time in healthcare and healthcare it and, , we are gonna see some really interesting things happen in the next couple of years.

If not months. All right. That's all for today. If you know of someone that might benefit from our channel, please forward them a note. They can subscribe on our website this week, health.com, or wherever you listen to podcasts. We wanna thank our channel sponsors once again for investing in our mission to develop the next generation of health leaders, shortest and 📍 Artis.

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