• 4 months ago
During a Joint Economic Committee hearing last week, Rep. David Schweikert (R-AZ) spoke about incorporating artificial intelligence into healthcare.

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Transcript
00:00Dr. Miller, first you already know I'm a bit of a fan of what you do and the way you think.
00:07Can you play a game with me instead of just reading a written question here?
00:11I come to you, you get to use the full power of what you believe exists today and is going
00:17to exist over the next year.
00:20How could you revolutionize medicine?
00:22How could you revolutionize the cost?
00:25How could you revolutionize making people well and the morality of ending and providing
00:32cures?
00:33A couple of answers.
00:36One, if you had high blood pressure, we have software that could titrate the medications
00:41for you.
00:42You could do that at home, you could send me a message, I could talk with you about
00:47exercise and in fact, software, in theory, could titrate lots of medications for lots
00:53of common conditions.
00:55You wouldn't even have to necessarily leave your house to see me.
00:59In fact, a lot of the time, you might not even need to see me.
01:03Then see me for acute concerns.
01:05You could automatically have your clinical preventive services ordered.
01:09You could have your colonoscopy ordered, if relevant, a PSA to check for prostate cancer.
01:16A lot of care could occur not just outside the walls of the clinic, but also even outside
01:24needing to see a physician.
01:26Then let's say you had a condition and you had to do a prior authorization, which my
01:31colleagues and I don't particularly enjoy doing.
01:35Imagine if the first layer of approval, a review, and then approval were automated and
01:40in near real time.
01:42We have that piece of legislation.
01:47Doctor, within that scope, you have the data of my wearables, my breath biopsy, whatever
01:56it may be.
01:57Do you see a world, at least at the basic level, the AI and then the algorithm that's
02:03attached to it could write the script?
02:07Absolutely.
02:08Okay.
02:09That was clean without a whole lot of struggle.
02:13Dr. Howard, this is a little bit different.
02:21You need to correct me because I was listening to your discussion about, okay, we need more
02:27people of variety who are writing AI and code.
02:31In some ways, maybe I have the utopian vision of it provides access for more people to be
02:38able to do technology.
02:40Most people have no idea how to write an app, but they can use the app to do technical jobs.
02:47Is there in some ways that, yes, there may be this hierarchy of here's over here my people
02:52writing code, doing those things, but over here, isn't this an empowerment for almost
02:56every American to do things that are much more complex?
02:59Yeah, it is.
03:00When I define AI literacy, it's not about creating computer scientists or coders.
03:05It's about making every citizen understand how to interact with AI to do their jobs better.
03:13It's allowing doctors to basically talk in their phone and transcribe it into the actual
03:20records that can then be shared with other doctors.
03:23That's really about it.
03:24That's a much more elegant way to phrase it.
03:26Ms. Uthir, what's my GDP growth?
03:31I have a personal fixation on where we are demographically as a country.
03:35We're getting old very fast.
03:37We often don't want to talk about it.
03:39We have to be brutally honest, 100% of calculated future debt for the next 30 years, interest,
03:46healthcare costs, and if a decade from now, we backfill Social Security.
03:50It's demographics.
03:52What is your vision of AI, the growth, the labor substitution?
03:58Does it save us?
03:59Yeah.
04:00Nothing can save us, but it can certainly make a major contribution towards the betterment
04:06of our government processes and potentially our debt.
04:09There's been various estimates, Congressman, on exactly how much AI could contribute to
04:14overall gross domestic product, the low end being something like at least 1.2% annually,
04:20but it goes up from there with one forecast for $15.7 trillion.
04:23I beg you to be slightly louder.
04:261.2% annually GDP boost and $15.7 trillion potential contribution to global economy by
04:322030, according to another report.
04:34I have all this data in a supplement to my testimony, and again, the estimates vary widely,
04:40but the bottom line is that almost all economists, political scientists, and consultancies realize
04:44that this is a great opportunity to once again build an output of digital technology companies
04:49in the world.
04:57Are American technologists right?
04:59Thank you, Mr. Speaker.

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