Leveraging Artificial Intelligence in Cardiology
Episode 476

David Chung, Head of Carewell Health

Leveraging Artificial Intelligence in Cardiology

Pulling all patient data to create an artificial intelligence engine that can protect heart diseases

Want to start your own podcast or have someone else manage yours professionally?

Don’t let technical busy work hold you back from sharing your genius!

Learn Now

Get The Latest In Your Inbox

SUBSCRIBE

Leveraging Artificial Intelligence in Cardiology

Episode 476

Best Way to Contact David:

LinkedIn

Leveraging Artificial Intelligence in Cardiology with David Chung, Head of Carewell Health transcript powered by Sonix—the best audio to text transcription service

Leveraging Artificial Intelligence in Cardiology with David Chung, Head of Carewell Health was automatically transcribed by Sonix with the latest audio-to-text algorithms. This transcript may contain errors. Sonix is the best way to convert your audio to text in 2020.

Welcome to the Outcomes Rocket podcast, where we inspire collaborative thinking, improved outcomes and business success with today’s most successful and inspiring health care leaders and influencers. And now your host, Saul Marquez.

Saul Marquez:
Welcome back to the Outcomes Rockets, Saul Marquez here. Today I have David Chung on the podcast. The interview with him is going to be interesting. It’s about artificial intelligence in the cardiac space. He’s the head of CareWell USA, a partner of Intel Life Sciences AI Division. He’s a patient, turned a technologist. He’s not a doctor or a scientist. He’s just an average American citizen with an above average appetite for fixing the health care system much like all of us. He’s made it personal. And as a Penn State engineering major, he’s kept the keen sense of science and tech and logic in his approach toward tackling some of these issues of applying A.I. into healthcare. In particular, cardiology call him a mixed bag. He’s an engineer that worked in the industrial, the service, the I.T. and legal spaces and now the health care industry to try to make a difference. He is somebody that also suffer from a mild arrhythmia. His sister had some issues with congenital heart disease. So he’s made it very personal and he’s very passionate about learning about all the possible ways that we could use A.I. artificial intelligence to eradicate heart diseases. And his aspiration is to collaborate with innovators from all over the globe to solve on this mission. And so it’s a true privilege to have hosted him on the outcomes rocket. So take a listen. And I think you’ll enjoy our interview about how they’re applying A.I. to make cardiology and heart diseases less of an issue. So it’s a true privilege to have you here on the podcast. David, thanks for joining.

David Chung:
You’re welcome.

Saul Marquez:
So what else would you like to highlight to the listeners and in particular? I’d like to know more about why you got into the medical sector.

David Chung:
Yeah, I really I really got the Met medical sector with more like a faith or I’m actually a patient myself. I got into it because I know in the world business you can create efficiency, drive everything better and faster. But one thing that hurts the most. My mom always say health is wealth. When you have it having a heart attack, given new diseases, you don’t have any choices. If you work, you’re not healthy. You cannot work. You’re not healthy. You cannot work. You cannot put food on the table. Is it for everyone to have health? And I want to bring health to everyone. And this important point to me as if everyone, because my family health history are not really good health genetically.

Saul Marquez:
Well, I think that’s a great, great call out. David and health is wealth and I would say even more. Right. And so when we discuss this topic, you and I had the chance to connect beforehand. The difference between merely innovating versus marketizing. I’d love to dive into that idea with the listeners here. What are your thoughts on that? Why is it important?

David Chung:
Well, it’s important because health is actually look at this as an accident. It shouldn’t be long. It everyone. Everyone should have. I could literally innovate anything or anybody in anything. A lot of things is actually very effective for patient population. But how is it being disseminated to be able to deploy to everyone? That’s the key. Take it, for example. You know, I could develop a very popular wearable devices that could measure a lot of physiological data. What happen if this device is actually out of reach because it’s too expensive or is being incorrectly marketed specifically concentration of chronic disease patients where while you could actually push every single patient to be used to predict, prevent, compute default, preventive health care. So that’s important as try not to focus in solving a problem just for the crowd disease, population focus and the world all health population even outside of the hospital and try to market that at a very affordable way. It’s a challenge not only for me, for every other big giant companies industry too.

Saul Marquez:
I think it’s a really great call out. You know, it’s if you innovate, that’s not necessarily enough. You got to be able to market that innovation and make it available. And so tell us a little bit about the work that you do at CareWell and Intel Life Science, the AI Division over there. What are you guys doing to Marketized better?

David Chung:
We are doing an artificial intelligence business, so we are pulling all patient data to create an artificial intelligence engine that can protect heart diseases. Our example will be typical of a patient we call 9-1-1 when they have a heart attack. What I have is I have artificial intelligence that can predict your impending beating heart diseases patients before you could not know what. That’s great. But how do we even market that right now? So we have to be simple. Look at today’s physicians Right.. You have epic. You have centers. You have this machine. You have that machine. You have this platform, debt level. There’s no would be enough for them to lock it. Everything in the world, they got 5, 6, 7 kotex Open. The last I want to do is to be another provider, a solution provider to add another platform for you to look at. But in my strategy of marketing is to do partnership interconnected with the most well known system other and create platform this open end where any AI solution can plug it in and just go into one place and seamlessly get all the data where you want to monitor all this patient if you want. This strategy has been doing it’s been treating well, so make it simple. Simple is really the key targets on a laptop. The time should be spent on patients not looking at data lock and a couple of web sites forgot the password. That’s not fun for them.

Saul Marquez:
I love it. It’s a great call out and it sounds like you guys have a quick way into the market. Give us an example. So have you guys launched or are you still in development?

David Chung:
We are in what we’ve already developed. This technology will spend around 450 million U.S. dollars. It has a database about 100 times more than the recent study from Mayo Clinic and is highly accurate. See Margus of the approved. Currently, there aren’t anybody be able to compete with this. But my challenge is that back to the solution, how do I launch it to let the public know about advanced technology? We are launching this with the first face a North America, United States and through a telehealth platform, your health platform. Why don’t you just click the button? Here you go. AI power. You can have all your decisions within five seconds and predict the patient’s heart disease before it happens. So that’s one way to do it. October 2nd will be the launch in California. So we are very excited about that. Hopefully, hopefully I could give a good speech to a little work. Well, about this, too.

Saul Marquez:
Yeah, well, listen, it’s around the corner. And you’re saying one of the ways people will be able to get access is if they are currently using your telehealth platform. What telehealth platform is that?

David Chung:
I can say.

Saul Marquez:
Oh. OK. Gotcha.

David Chung:
I can’t say it yet. There is a very popular well known to have platform at it.

Saul Marquez:
So it’s a partnership?

David Chung:
Yeah. It’s a partnership.

Saul Marquez:
Got it. Got it. Got it.

David Chung:
It is very well known and is even a NASA is using the same platform like that, say NASA. So it’s pretty secure. I would say.

Saul Marquez:
Very cool. Well, a great opportunity around the corner to access and I and clinical decision support predictive analytics. It’s all very exciting. And. And so these types of advances don’t happen easily. And so I love to hear from you. David, what you believe is maybe a setback that you guys had in the development of this technology that that led to a big Aha and the reason why the platform’s as strong as it is today.

David Chung:
Time, I would say, time and resources. And also very importantly, the lead for this is very important. That makes us to say, aha, we did to solve this problem. So look, statistically, America has about twenty eight million adult population diagnosed heart diseases. For me, that’s a matter for me to spend. One hundred fifty million dollars for this. It doesn’t mean it’s three thousand person, and that if I could predict heart disease for three dollars now, I could reduce a lot of yard business. I could reduce I could predict heart attack. So we have planned surgeons, aha, for patients actually were diagnosed incorrectly and then now they just miss diagnosis, reimbursement, denial, the wrong use of drugs, lawsuits, all those would be gone. Aha. So I think it makes sense. So that was the aha moment that we had. Why do we do this challenge has been, you know, this artificial intelligence, artificial intelligence is very simple. We have to mystify. It is as simple as training a child, how to read a book. You could feed a thousand books for the child. And there’s two pieces. Important component to this one. Those books be clean and accurate. It’s medical data. You see the structure of us. And second of all, you also have to board certified cardiologists trained his child to read this book is not just going to feed this data. Well, they call machine learning. Just so you know what happened when I tell my son to read a bunch of books. They not going to thing and then let the son rip and launching the public into to play the. Good luck.

Saul Marquez:
Exactly.

David Chung:
So time too, right. You know, you got to continue doing this again and again. Every time you make an era, my board certified cardiologist and correct the machine, learning AI brain and doing multiple iterations two and half years later under 50 million. And we’ve got to work that out for the costof really democratize health care is we we need it for all from patients actually already diagnosed with heart disease, from patient or just public that didn’t know they had it. Heart disease patients publishes.

Saul Marquez:
Yeah. Now, that’s fascinating work. And so the data, I’m sure a lot of people are wondering like, where’d you guys get all this data? I know Intel is a self-insured employer. Is that where a lot of it is coming from?

David Chung:
It allows a lot of data is actually coming from outside a different country. So I do have Intel Partner is Intel actually giving us a custom aid ship that could actually process artificial intelligence decision without a user Internet. So that’s a strong arm about Intel. And they have the latest technology called Open Theno open through platform. So in endurance, it’s actually 16 times faster. What that means is that, you know, when you think about your laptop to hash a gate ram. I am 16 times of that. I don’t even know what the math is. So I can I could speed up AI at that speed. So that allows us to make decision making a lot faster, more accurate.

Saul Marquez:
And so and so Intel has a chip that will be able to be, I guess, used in a lot of these devices?

David Chung:
That’s correct. Yes. And we are a very large device manufacturers. So example would be I could put a chip in a twelve lead device with an Appletree instantly. It’s going to be a diagnostics see and FDA approved. And you do not eat is complete disconnected. You don’t need to connect to anything. No Internet, no network. You don’t need AWS, you can eat as you are. Nothing. That can also be apply it to stick a chip in a telehealth. Now you can diagnose patients remotely even in Africa. We do have project with the Gates Foundation too.

Saul Marquez:
Fascinating, fascinating work and the promises is pretty big. Now tell me a little bit more about the interface. And you know, who looks at it and our frontline positions looking at it are administrators looking at it both. What does that look like and how is the value delivered?

David Chung:
Yeah. Good question. Develop deliver a simple interface to a physician. Is it just another tool for them to click to learn? They don’t like it. No one liked it. We have a interface. It’s actually already, so it’ll help. Partnership with our platform. We gonna build this where you can click one button. You can send bluetooth data from your device should it to the whole platform. And then the data is going to shoot it to the cloud or chip chip version. And then one more button that we saw comes back is the decision, a fully annotated report completely with full transparency of all the symptoms that knows with his patients. So that’s what we want, two buttons and we don’t want to make it complicated and have to charge you hundreds of dollars of consultant fees. No, simple, simple, simple, simple.

Saul Marquez:
And is the main niche right now. The cardiac space. Are there more areas that you guys are focusing on?

David Chung:
Great question. Yeah, we are focusing in hyperfocus in cardiac space because we are a 20 years old company. A billion dollars. And we in the business for a long time. So we are a team to all the clinical decisions and we all the clinical ability to do cardio diagnostics. Now we are expanding to other area. Of course, a lot people call this triple A. You have diabetes, heart disease. But we want to focus on the heart disease first because it is the most expensive. If you look at that, you spent three point I think three, four, five trillion dollars right now. The whole US on healthcare. 50 percent of that is really belong to cardiovascular disease related diabetes is a hard. cardiovascular. You have two lungs that goes out after that. If you have that, our everything goes to kidneys goes along. So heart is the main key to the function, to everything in the body.

Saul Marquez:
For sure. For sure. Not super exciting. And the man with the launch around the corner. What would you want the listeners who might be potential users of the technology to know?

David Chung:
Is here? embrace it? A lot of folks asked me the questions and they have a little fear of artificial intelligence. So I would say that, you know, artificial ins is known as the fourth industrial revolution. It’s just as important as somebody who created Internet. So think about the jobs that we lost from typewriter data entry now actually become Excel analytic job. So this great job is going to create more jobs. So please don’t be fear having fear. Artificial intelligence is not going to replace you. Look at artificial intelligence is a tool that look for needles in a haystack. We’re just we’re not going to replace you. We’re just going to have to do a lot of mundane tasks looking at all the biomarkers and surface it up to on top of needles, on top of haystack, you cardiovascular surgeon and nurses, you decide and you pick what’s the best outcome solution for your patient. Treatment makes your life easier. And I think we’ve been customers, surgeons already been chasing us behind the eight ball a lot of time. I noticed those again, that knows that knows again. And it’s frustrating. So that’s a be brave. This is going to create a lot more jobs and a lot more opportunity not only for the health care industry, for also the whole economy, more programming jobs, more somebody, more of everything.

Saul Marquez:
It’s a great message, David. And and I love the optimism and the courage to look at this for what it is. Right.. I mean, a large problem that could benefit from a simple solution. And I love the way you guys are doing it with your partnerships to give access the time this goes live, probably within a few weeks, the solution will go live. Where can the listeners go to learn more? And you have a web site? Yeah. Where can they go to learn more?

David Chung:
Find me on LinkedIn. Our Website is not as important as I think we are wanted to be to be. Intel. Of course, you go to Intel just search about me. But if you are on LinkedIn, just #AIECG.

Saul Marquez:
Hashtag AIECG.

David Chung:
Yeah, find me on linkedin. David Chung is probably one of me and the world actually so.

Saul Marquez:
I love it.

David Chung:
Yeah. Other than that, I’m typically having a discussion globally with other innovative, innovative companies and I have discussion with NHS in London. I have discussion all the way to Pakistan University and also Ireland. I got some very cool genomic testing AI to a you over there not long ago, great folks. So technology has no limit and it doesn’t have to limit in one country or one innovator. So whoever got the best work altogether delivered the best solution, not only for us, for we are a global citizen, delivered to everyone, every country. So let’s win it all together.

Saul Marquez:
I love it, David. This has been an amazing discussion. And really looking forward to seeing the technology come out and really enjoyed speaking with you today. Thanks for the time.

David Chung:
Thanks.

Thanks for listening to the Outcomes Rocket podcast. Be sure to visit us on the web at www.outcomesrocket.com for the show notes, resources, inspiration and so much more.

Quickly and accurately convert audio to text with Sonix.

Sonix uses cutting-edge artificial intelligence to convert your mp3 files to text.

Thousands of researchers and podcasters use Sonix to automatically transcribe their audio files (*.mp3). Easily convert your mp3 file to text or docx to make your media content more accessible to listeners.

Sonix is the best online audio transcription software in 2020—it’s fast, easy, and affordable.

If you are looking for a great way to convert your mp3 to text, try Sonix today.