This Week Health 5 Years

Contributors

December 12, 2022: A special episode today. Interviews with cutting edge innovation leaders direct from the floor of HLTH ‘22:

  • Taha Kass Hout, Vice President Machine Learning and CMIO for AWs
  • Neil Sharma, Executive Vice President at Sword Health
  • Erich Huang, Chief Science & Innovation Officer and Tarun Galagali, Product Marketing & Product Strategy for Onduo
  • Charlie Lougheed, CEo and Co-Founder of Axuall

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Transcript

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

the exhibit floor at the HLTH:

Thank you for having me today. Taha Kass Hout, Vice President Machine Learning and Chief Medical Officer for Amazon Web Services. In my current role, I work very closely with customers and partners on building innovative solutions in the cloud for breakthroughs and to solve their problems and concrete use cases.

So I've been Amazon Web Services now for the last five and a half, six years, and we'll continue to introduce new technologies. I'm happy to talk to you about today. Awesome. And what is the problem that you're trying to solve in healthcare? So before I get into that, perhaps a little bit about aws.

I mean, what is aws? So, Amazon invented the cloud almost 15 years ago, and that's aws. Amazon Web Services. Were the broadest and most comprehensive cloud platform offering over 200 fully featured services. These are technologies from data centers around the globe. And our mission is to help customers, especially in a health space, to be able to innovate faster, be more agile, and reduce cost.

And specific to use cases in healthcare. I mean, they're trying to provide their members or those they serve with better, convenient experience that is more person. And provide high value care for them. And the way we accomplish this mission at AWS is by working very closely with customers.

Our work backward culture is listen to the customer, help them answer the right questions so that way they can avoid pitfalls, especially when it comes to scale and technology and machine learning, but also, Really double down on concrete use cases and frictions for these customers that we can remove many heavy and differentiate lifting for them so they can care for their patients better and provide the best care.

Awesome. And who at the health systems would you like to talk to and what do you wanna talk to them about? So the way we work, we work very closely with both customers and partners. Partners. Are those technology companies or innovators anywhere. Startups to large enterprises or even health systems that work in to solve problems for these customers, whether healthcare or life science industry around things such as how can they operate better or how can they better manage a population and predict outcomes or deliver value based care.

In hospitals, particularly in healthcare systems, we work with large hospital. For example, rush University Medical Center, who's building its analytics hub on Amazon Health Lake Analytics to be able to get a lot of information on their population for medical records, social determinants of health, and even measurements such as cardio metabolic data to be able to improve health equity for the population they serve and improve personalization for that.

So often time there, we're working closely with CTOs, CIOs, CEOs, as well as Chief medical officer or chief nursing officers because we're trying to really double down on the actual concrete use case that they're trying to solve for. Whether that's closing gaps in care or how can you really better manage a population or how can you find effective line of therapeutics or predict disease early and improve diagnostics and and precis.

Awesome. Are there any use cases you'd like to share with our audience? Well, I mean, there are a number of use cases. I mean, there are some operational use cases. For example Harvard be Israel Deaconess Medical Center. Leverage the technology. We have to analyze medical notes. That's Amazon Comprehend medical at scale.

I mean, this is where they were able in turn be able to structure all that information and improve their operating room of over 40 to be able to operate more efficiently and, and reduce cost by at least 17 or 18% in the process. And in the end, also offer both surgeons as well as nurses, triaging and patients better experience and more better outcomes.

So that's only operation efficiency. I mentioned the Russian University Medical Center is really trying to understand gaps in care in their, the population they serve in West Chicago and how they're able. Build a cohort of patients that they were able to track over time and predict diseases early.

And that's across the board from early disease detection to prevention. And so that way also understand where gaps in care are and health equity improvements needs to happen. So to double down double down on those. And we have many other examples on use cases that I mentioned population health and I.

Operation efficiency, but also in clinical trials. I mean, how can you recruit patients to the right clinical trial efficiently and more effectively? For example, Fred Hutchinson Cancer Institute was able to analyze all their unstructured data using Amazon Comprehend Medical to be able to, where they're analyzing 11,000 charts per hour.

And that in turn has improved the case identification and be able to identify the right people to the right trial and improve that efficiency and. Throughout and today AWS introduced two new technologies. One is Amazon Health Lake Imaging to be able to help healthcare providers and and partners to store access and analyze medical image data at better by scale in the.

With fast sub-second image retrieval in your clinical workflow, while ultimately reducing the total cost of image storage by at least 40%, which is, which is quite significant. But here's, here's also the great thing is hospitals can can integrate their existing medical viewers image viewers as well as, and US applications with Amazon Health.

Using a single copy of encrypted medical image data, which that also plays a critical role. You don't have to have many copies of the same data, and you're both clinical and research systems and all these solutions trying to access that information. Yeah. Wonderful. Thank you so much. Thank you 📍 so much.

My name is Neil Sharma. I'm the Executive Vice President for all the strategic channel partnerships and Sword Health is a company that is working to free 2 billion people from pain, physical pain. So we pride ourselves on knowing. Half of the world lives in some kind of a physical pain, and so we work with them exclusively on a bespoke solution. A personalized solution. We have a three pillar system. You get your own PT and it's a digital remote MSK service, and we give you a very specific device that collects information and data for you.

And then we create a program that is exclusive to you because not all back pains are the same, right? Not all knee problems are the same and not how. Now, the reason we use a licensed doctor a physical therapy is because if anyone gets injured in your family, God forbid we get injured. The first thing that our primary care physician or a surgeon will do is send us to a pt.

They won't send us to a health coach. They won't send us to a life coach. They'll send us to a PT whose license to understand your body, your musculature, and so forth. So SWORD is working to go to that mission. And who at a health system to speak to and what is the conversation that you'd like to have with them?

So we'd like to speak to, and we are speaking with a lot of the health plans today, who are offering you different mechanisms for digital MSK solutions. We are talking to employers, right? Self-insured, fully insured employers. We are talking to actual customers and members, right? Ultimately, it's the person who is working.

It doesn't matter if it's a nine to five job, it. It's a blue collar, white collar. It doesn't matter if it's in the warehouse behind the desk. We all seem to have the same problems. And those problems can be addressed, but they have to be a personalized solution. It's cuz our journeys are different. The length of our journey is different.

The way we go about it is different. The most beautiful part about everything that we do at Sort is it's done on your own time. So 60% of our audience uses our solution between 8:00 PM and. In the morning on their own time. Do you have any use cases you'd like to share with us? There are a number of use cases.

There are, there are people that have written into us, but I'll give you a personal use case. I have a knee problem and when I came to SWORD, I immediately got into the program and I spoke with my PT and she realized that my gait is a challenge, so it's actually my right hip that is also causing my left knee. And so we had to work on correcting my gait, correcting strength of certain muscles, and so today, I'm 📍 pain free.

So we're on Onduo. Onduo is a digital health platform and a population health manage solution for chronic disease. We are part of Barley, which is part of the alphabet big Google family. Beautiful. And what is the problem you're trying to solve for healthcare?

I call it the dark matter problem. I actually used to work. System. I was an executive at the health system, and one of the things that we miss when we think about the electronic health record, we think about claims data. We're missing a lot of the data that people have about their lives in chronic disease.

All that happens in the 365 days of the year, or actually maybe the 360 3 days. They never encounter or in the clinic or with pcp, how do you capture that information? Blood glucoses, blood pressures, things like that? Well, obviously with mobile technology, there's an opportunity to collect those signals and then by collecting those signals, we have a lot more relevant signals for how we, so that's, that's the, what I call the dark matter of health.

From a member perspective, the ultimate value is the empowerment to know that chronic condit. To determine you. You can have control over how you take care of yourself. So getting that data, realtime data plugged into your mobile phone, seeing how Fitbit or your Apple Wash even integrates into the phone and tell you the steps you've taken, getting realtime consultation on food you're about to eat, coach, and ultimately getting access to an endocrinologist, which is so hard in this country.

So making a lot of that easier and ultimately, More adherence to your medication, if that's the system that you end up going down helps reduce the cost for any organization who's trying manage this chronic care and helps empower users really meaningful. And who at the health system would you like to talk to and what is the conversation you'd like to have with them?

I think it's talking with the chief medical officer often now they have a senior population health clinician like I. There's so much data that we miss, and if you're trying to take care of chronic disease, how do you take care of it when your people only see a PCP or get their labs drawn a couple times a year?

I think that's where we can fill in the blanks for traditional, and there are times when health systems innovation and help drive some of the learning from people that are still trying to get awareness over virtual care and chronic care. And so the second. Can help usher that conversation forward to pop health, any of 📍 those types.

Hi, I'm Charlie Lougheed. I'm the CEO of Axuall. Co-Founder. Axuall is a intelligence company. What does that mean? That means we bring data about clinicians to health systems, so they make better decisions about how they deploy their most critical talent and workforce in a way that is optimized, reduces attrition, and ultimately meets patient needs. what's the problem you solve for healthcare?

What's the problem we solve for, he. Access to information. Information is really key when you're making decisions about where to place clinicians in the field, whether or not you're a large health system or a staffing firm, you need to be able to understand what capabilities exist, how they can be deployed, what gaps can be filled, where and how.

And information is at the core of that. It's something health systems have missed for a long time, and we're helping to bring that together because you can't necessarily manufacture. or physicians that can only do that so quickly, but having the right information to place them efficiently across your enterprise is something that we focus on and bring to the market.

who do you want to talk to at a health summit? What's the conversation you want to have? Ultimately, it's typically with the who are in the C-suite cuz they're dealing with some of the biggest problems they've ever experienced or their peers have experienced.

Inside of healthcare, you've got double digit growth in need, combined with double digit attrition and issues relative to all the different kinds of challenges that health systems are facing today. So typically it's gonna be a chief operating officer, chief hr officer. Sometimes the chief medical officer, but it's those people that are charged with building a world class environment of clinicians that isn't burnt out, and that matches the demand that's coming at ' em.

What a great group of healthcare partners. We wanna thank them for spending some time with us on the floor and sharing their aspirations, their solutions for healthcare IT. I wanna thank them for talking to me and talking to Holly and talking to our team on the floor. We also wanna thank our conference sponsors who are investing in our mission to develop the next generation of health leaders. They are Sirius Healthcare, a CDW company, VMware, 📍 Transcarent. Press Ganey, Semperis and Veritas. Thanks for listening. That's all for now.

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