This transcription is provided by artificial intelligence. We believe in technology but understand that even the smartest robots can sometimes get speech recognition wrong.

  Today in Health it, the story is Amazon Web Services jumps into data lakes for healthcare. My name is Bill Russell. I'm a former CIO for a 16 hospital system and creator of this week in Health IT at channel dedicated to keeping health IT staff current and in engaged. Today I just wanna let you know to sign up for clip notes to stay current.

And while you're at it, get your team to sign up as well. This is an email that goes out 24 hours after each show on the this week in Health IT channel with a summary key moments in bullet point format, and two to four short video clips. Just hit this week health.com and click on the subscribe button.

All right. Today's story comes from healthcare innovation group.com, and it is Amazon Web Services jumps into data lakes. All right, so let's get the clips from this article. Besides the traditional enterprise data warehouse, some health systems are starting to create data lakes, which contain new data types not found in traditional hospital clinical and financial data sets.

The large cloud providers are moving to support this trend. Amazon Web Services AWS just announced the . General availability of Amazon Health Lake, which it says will allow organizations to ingest, store query, and analyze their health data at scale. Amazon says Health Lake uses machine learning to understand and extract meaningful medical information from unstructured data, and then organizes indexes and stores that information in chronological order to provide a holistic view of the patient using

Amazon Health Lake organizations can move their fire formatted health data from on-premise systems to a secure data lake in the cloud. Amazon says Health Lake uses machine learning to automate the extraction and transformation of unstructured health data so organizations can apply. Advanced analytics and customized machine learning models to their information.

It goes on to say, the company said that customers who do not already have data in the fire format can work with AWS connector. Partners such as Diameter Health, InterSystems, redox, and Health lx, which have built validated Amazon Health Lake connectors to transform existing healthcare data into fire format.

And move it to Amazon Health Lake. One early customer is Chicago based Rush University Medical Center, an academic medical center that includes you get the picture who they are. They're in Chicago. Even while still in preview, Amazon Health Lake was an integral part of our Covid to 19 response and efforts to address health inequities.

It has enabled us to quickly store disparate data from multiple data sources in fire format in order to gain critical insights. Into the care of COVID-19 patients said Bella Hoda, md, vice President and Chief Analytics Officer at Rush University Medical Center. In a statement, we have also used Health Lake integrated natural language processing to extract information such as medication, diagnostics, and previous conditions from doctors' clinical notes and enrich patient records to examine barriers to

Healthcare access, providing our researchers additional data points for analytics. With the Health Lake API, we created a mobile app to provide insights into care gaps across the west side of Chicago. Amazon Health Lake enables us to accelerate insights and drive decisions faster to better serve the Chicago community.

All right, so you get this picture. It's an add-on to the data strategies that you already have. It's part of your data supply chain. And the nice thing about this is you're tapping not only into the data lake, you're also tapping into, as they noted here, the NLP capabilities and the machine learning capabilities.

And this is one of the true benefits of the cloud. This is the so what? To tap into these benefits, you almost have to be with a cloud provider. We cannot stand up, uh, machine learning and AI and those kind things, yes, we can buy some tools that utilize these things, but at the end of the day, if you wanna start creating your own insights from your data and from other data that you're collecting, you're, you're going to have to tap into these advanced capabilities.

These advanced capabilities reside in these cloud providers. That's number one. Number two, they make this sound very easy. It's not. If you have issues with your data on site, you will have issues with your data in the cloud. This is the age old thing with the cloud. Oh, we're gonna move it to the cloud and it's gonna solve all of our problems.

It doesn't. You still have to do good data governance. You garbage in, garbage out still exists in a really cool cloud environment. You still have to have the skills on your staff to be able to utilize these tools, to be able to understand the data that's coming out of these tools, the insights that's coming outta these tools.

You've got to normalize the data. You've got to ensure that the data is good quality. I guess my main point here is it's difficult because getting data right in healthcare is difficult, and moving to the cloud doesn't make it any more or less difficult. It just means you still have to do all the same practices, data quality data, governance.

I. Classifications architecture structure, but it all still has to be done well in order for you to get insights outta that and to get trusted data outta that. And the minute you lose trust in the data at any point in that supply chain and the clinician's looking at that data and they can't trust it, you're now undermining the entire program.

So it is so important to get that right now. I think this is a great advancement. So Amazon Health Lake is awesome. I think the work that Google is doing is awesome, and the work that Azure is doing is awesome, and I think it's going to be the foundation for a lot of work in healthcare over the next decade.

So this is an exciting announcement, it's an exciting, uh, movement that's happening within healthcare. And something, I think all health systems, regardless of size, are gonna want to figure out a way to tap into. With that being said, it's not easy. It does require some skill. It will require some cash outlay, and you're going to have to put out some operating dollars as well to cover this.

So that's the So what. Around this, and 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 podcast. Apple, Google Overcast, Spotify, Stitcher. You get the picture. We are everywhere.

We wanna thank our channel sponsors who are investing in our mission to develop the next generation of health leaders, VMware Hillrom, starfish Advisors, McAfee and Aruba Networks. Thanks for listening. That's all for now.