Every argument clarity score on this site is built from rows on this page. Each
question and answer was assessed with names hidden, the host's own answers included, on
four things from 1 to 5:
directness (does it answer the question asked), coherence (do the ideas follow),
precision (concrete details and clear references), compression (says a lot per word). The weighted
mix (30/30/25/15) is the exchange score. A person's published score averages their exchange
scores on raw tape only, at least 8 of them, shrunk toward the cohort mean.
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Answered raw tape
D 5 · C 4 · P 5 · Cm 4 4.55
Q For that to work, you would have to have your own machines that monitor their vital signs to be able to connect into that data, because I don't think the machines that exist today do that, or if they do, they're in their own walled garden, am I right?
A Correct. So, 23 and Me as API, uh, we are working right now with Israeli company that do purifier, air purifier, it's called Aura, smart purifier. So, they have already Tens of thousands of units nationwide. We connected to them. We connected to Apple Watch. Um, we are working now with Anywell to connect it to their, uh, temperature system. Uh, we're connecting to the RFID for the elevators. Um, so you're right. It's, uh, hundreds of data points. Uh, and it's a very challenging to company that is not Apple or Google to, to do so. But, um, We keep doing it, and we're pushing to connect more and more and more companies into our system until the big boys will start joining us as GE, Philips, and MRI, CT, X-Ray will join us. So, for example, because we know that X-Ray, it's very challenging, right, because GE won't jump and say, ah, ok, this is a meta, it's a nice call, let's, let's integrate to you. So, we're going through, there is Israeli company that do AI for X-Ray. So it's much easier for us to integrate with Zebra, they do AI for X-Ray, than to integrate actually with GE or Philips.
AI assessment note: “Correct. So, 23 and Me as API, uh, we are working right now”
Answered raw tape
D 4 · C 4 · P 4 · Cm 4 4.00
Q of step up and work with other companies to, to put together the hardware that connects the software so that you can get a complete picture of all the people. I wonder, do you think people are ready for this? To have all of this data and have it be coordinated and Automated and communicating with human doctors from afar and connected through AI and Bluetooth and all of this.
A First of all, it's a transition. And because of the big boys like Google and Apple, everybody agreed to wear the Apple watch. Everybody agreed to sign a consent for his thermopedic, I have thermopedic home. Everybody joined the 23 and me, millions of millions of people, if not tens of millions of people, even in the U S sign a consent to participate in the research. And I can tell you the first hospital we approached with this idea, not that this allow us to do, uh, it's called the Woodland Specialty Hospital. Not that this does allow us to do the first case study of MetaHealth in their hospital. They begged us to be part of the equity in MetaHealth. So they pretty much, the main doctor and the owner, uh, Dr. Ravi, he actually was so excited about it because it will solve so many problems that you could not even imagine.
AI assessment note: “because of the big boys like Google and Apple, everybody agreed to wear the Apple watch”
Answered raw tape
D 4 · C 4 · P 4 · Cm 3 3.85
Q found your experience in general? Because, you know, you're, you are a foreigner, right? You may have spent a long time in America, but you're not from America, so you may be perceived differently from others, but America is meant to be this country of immigrants. Um, so how do you feel as, as an Israeli in America, building an American company, hiring Americans, trying to serve the American society?
A Most of our employees are, uh, Afghan refugees, refugees, uh, disabled veteran, veteran, second chance. Uh, we are very, very open. Uh, me and Dimitri are third generation Holocaust survivor. So for us, it's very important to welcome all these refugees and And we know a little bit about what happened in their country, but, uh, as living in Israel for almost 30 years, I can tell you that I've seen it, I've done it, and sometimes it's very challenging. We have a very sweet spot for these people. I think, I, I, I won't say USA, because USA is a very large country. It's a continent. But if I say Texas, I love it. I just love it. It's amazing. The people here, the government, the way they welcome business. It's so easy. To do business here. Uh, all the agencies, everybody really has the attitude that you will succeed. Uh, unlike other countries, it's the best country in the world, no doubt. And Texas, uh, again, I pulled this from the other state, but this is the, I think one of the most favorite states, uh, states ever. So, uh, it's very easy to do a business and, uh, and to, to support everybody and everything's so efficient.
AI assessment note: “Most of our employees are, uh, Afghan refugees... But if I say Texas, I love it.”
Answered raw tape
D 5 · C 3 · P 3 · Cm 3 3.60
Q Yeah. It makes, you know, it's just an extra revenue stream. So what do you actually do with that data?
A Imagine that I have data both for the hospital and for the patient. If I know the consumption of hospital, I can be connected to their ERP system and provide them a much better forecast for 20, 23 and 20, 24 for their consumption of gloves. So they can make a much better procurement and I can save money as well as, uh, They can put more money in the patient and in diagnostic and treatment. Equipment, and they're buying gloves sometimes that they don't need to, and it's a glove, and it's gowns, and it's shoe cover, head cover, it's all these items. We connected to all these items also for the prevention. So imagine that you have, I take it to the extreme, you have two rooms, one with sick people, one with healthy people in the same hospital, and you find out that the people that sick, both of them, all of them eat Chicken soup and the people that healthy chicken soup. However, the air quality in the room is not good enough, as well as the nurse didn't put gloves when she treat them, as well as the temperature was. So we take all these surrounding data and we implement it into the vitals for the patients, people that hospitalized for a month, two months in the hospital. So it's important. Let's give you one, one example of the key factor that we were checking out.
AI assessment note: “I can be connected to their ERP system and provide them a much better forecast”
Partly raw tape
D 3 · C 3 · P 3 · Cm 3 3.00
Q You talked about the technology you've been developing these, um, Dispensers for gowns, shoes, you know, shoe sleeves, uh, as well as gloves. What gave you the idea for that? And where is it now in terms of its development?
A The main thing that we developed from scratch was the automated glove dispenser. Pretty much we got a call from an hospital that, uh, asked us if we have a solution for sterilized gloves, as well as, uh, there is a major problem. Uh, so think about Google Nest. The way that the Google enter your home, Slash Amazon. They provide you the Nest, or they provide you the camera, or they provide you the Alexa. And through this, they create you a smart home, right? They care about the data. They don't care about the Alexa. Actually, they're losing money on the Alexa. They're losing money on the Nest. They care about the data, because that's what's important. Because after you have the lock, and after you have the camera, and after you have the Alexa, and then you have the light bulb, and so on, and the thermostat. So all your home becomes a smart home. And they gather in the data, which is the gold of the 21st century. So we want to penetrate into the hospital in one of their, the point that I think they suffer the most. The second most consumable item in a surgery room is gloves. If we can save the hospital 40% on the glove, if we can create traceability for the glove, so you can see the history of each glove. And if you have a broken glove, which happened from time to time and a doctor, uh, been content with HIV or, or any other disease, you can trace it back and see what's going on …
AI assessment note: “we got a call from an hospital that, uh, asked us if we have a solution”
Partly raw tape
D 3 · C 3 · P 2 · Cm 2 2.60
Q kind of existential questions about, well, can we trust them, you know, to, to not crash and kill a bunch of people. So I think healthcare is on its way in that regard, but probably a bit further behind. So do you have any ideas for how medicine and healthcare and tech in general can think about those things and, or do you know of anything that's being done now?
A Meta health. What we do, we put a patient risk, the highest priority as possible. Uh, we see ourselves, uh, to help the patient, uh, before everybody else. So before the doctor, before the hospital, before making money, the patient is the most important, actually to protect his privacy, as well as really to give him the right treatment. And as you mentioned before, not to cut him the wrong leg or not to cut him the wrong side of, of the kidney. We're doing all the coaches, all the actions that needed in, uh, in order to reach to this point, uh, where we can, uh, actually make a amazing system, uh, that really, really solve this, uh, major problem that you just mentioned.
AI assessment note: “What we do, we put a patient risk, the highest priority as possible.”
