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 5 · P 5 · Cm 4 4.85
Q So, so what's Hell's tap now? What, what's, what does he do?
A Sure, HealthUp is, is very simple. It's, it's, ah, the first ever, ah, end-to-end experience in, in healthcare. So from the moment you're not feeling great, all the way to the moment you're feeling good, you can use HealthUp, like, as a health utility, right? You come to HealthUp, you have a question. We have a network with more than 66,000 physicians, ah, U.S. licensed physicians in good standing, and you can ask any health question and get an answer from a doctor in seconds or in minutes. Ah, you can use a repository. We serve more than 2.6 billion doctor answers to date. So it's a very extensive repository, and a lot of data about what people actually find valuable, but not only what doctors answered to people before, but actually doctors peer review each other for quality. Right, so every answer that is given to people in HealthTap goes back to the doctors that either agree with the answer, or if they disagree, they add a comment, Or they add their own answers, so the database is the world's most extensive database of doctor knowledge that is organized by how people ask questions. And beyond that, as we start getting a lot of engagement, we start getting more and more doctors, which basically gave them the opportunity to create tips, ah, to review news online, and as of recent, to actually rate apps. You know, there are more than a 100,000 health apps on, ah, on Google Play…
AI assessment note: “you can ask any health question and get an answer from a doctor in seconds”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q so, um, you basically gather a lot of data about every person, right? So help us understand, so this is the world of EMRs, that has your history, and that's the history that you have with your doctor, this is yet another history. What, how do you think about this, and how do you protect it, how do you, and what things do you do once you have my data?
A Yeah, it's pretty cool. I mean, like, I think that we try to keep it in context. So first of all, patients on HealthTap are always anonymous, Right? So, you never see who the patient is. When you ask it, ah, doctors are not. Doctors are very visible, right? You see who the doctor is answering the question, their credential. Each and every one of them has a virtual practice. You can see where they practice. You can contact them, so it's very transparent. On the patient side, nothing. You cannot see any other patients on HealthTap. It's all completely private and encrypted. Ah, the other thing that is very important is that we are doing things in context. So when you ask a question on HealthTap, we will ask you to add Uh, three attributes. We're using our knowledge base and some machine learning techniques to actually try to attach to your question some related data points that will help the doctor give you a more personalized answer. And why is that important? Because if, ah, a 26 year old woman with, ah, that, that is pregnant is asking what are the potential implications of diabetes and she has no, no, ah, other conditions, she's taking no medication, and the same question exactly is asked by a 76 year old guy with three comorbidities, Taking four medications, the same semantic question will get a very different answer. Right, so adding these attributes to the question and tag…
AI assessment note: “It's all completely private and encrypted.”
Redirected raw tape
D 1 · C 4 · P 4 · Cm 3 2.95
Q Fascinating. And, and, and I read somewhere that you guys had a project, and I don't know if it became a product, but that was, ah, Talk to Doc, was it like almost like a Siri for, ah, for, to, to, to use an LP, basically, to, to query the database? Is that by voice?
A Sure. Yeah, I mean, like, I mean, look, the, the, the mission, the mission that we have now, now that we have all this data and all this knowledge base, ah, and the ability to really understand people is to give people the right care at the right time. At the right place, at the right cost, right? And the ability to create this triaging system, an amazing triaging system, that allows someone to come to HealthTap, right, and ask a question, and if the knowledge base has already the answer that was given to a person like you, you can use it there, right, and you're done. And if that's not enough, we allow you to actually ask a quick text question and find one of 66,000 physicians, or several of them, to answer the question quickly. And if that's not enough, we'll put you in front of a doctor who's available now, and you can have a text chat Conversation with them. Maybe attach a picture of a rash, or whatever it is, and have a conversation with them back and forth. If that's not enough, we'll put you in front of a video conversation, an HD video conversation with a doctor. And if that's not enough, we'll put you in front of a doctor in the real world, but admit all the data. So we put you in front of the right doctor, not in front of a glorified, ah, primary care triazer for 200 bucks. Right? Because we know where to put you, right? In front of the right doctor. And if that's not…
AI assessment note: “the mission that we have now, now that we have all this data”
Redirected raw tape
D 2 · C 3 · P 3 · Cm 2 2.55
Q So there's, I mean, there's some history of that, right, of evidence-based, uh, medicine, decision support systems, all those things, um, and hasn't quite worked in the past, largely because, uh, doctors rejected it. Do you think we're at that tipping point where, where doctors are ready to think of themselves almost as data scientists, as you were saying?
A Yeah, and I think that, you know, you said that it's also about entrepreneurship, and I always said if I had, A dime for every person that told me that doctors will never answer patients' questions online for free. I wouldn't need to raise money for this company ever. And we did raise money. Doctors need, we need, we worked with doctors from day one to create the best interfaces and things that are, like, experiences that are very, very easy for doctors to interact with. We put together, I mean, we have 64 people at HealthTap right now. Almost all of them are engineers. Designers, data scientists, doctors, that are building actually interfaces that make it a lot of fun and easy for doctors to provide care for their patients or for other patients in digital channels. Nobody spent enough time before, right, and enough energy to think about the doctor experience as well, and not only that, create a great user experience, right, that will bring people to interact with doctors and their knowledge, Using digital channels from phones, right? From, ah, from tablets, from the web, also from wearables right now, right? And create this amazing marketplace where people are empowered to find better information and better access to care, but doctors are empowered to provide care in a way that it's easy for them. Because I think that what happened before, which is what you're alluding to, lik…
AI assessment note: “what happened before, which is what you're alluding to, like they were drowning”
Redirected raw tape
D 2 · C 3 · P 2 · Cm 2 2.30
Q Great. Time for one last question. It's always been these people so far. I'm a left side equal opportunity. Hi, uh, Aaron Franco, CTO of Click Slide. Um, what, um, you mentioned that you're providing, ah, better contextual data to the doctors so they can make better decisions about their patients. Um, what wearable, ah, devices do you have integrated, and if you don't have wearables integrated, why not?
A That's an awesome question. Ah, how do I answer it? Um, So first of all, this whole notion of giving the right data to doctors so they can provide the right care at the right time, at the right place, at the right cost, ah, is based on not only data that comes from external sources, like a lab, or like a wearable, but also, ah, data that is, so this is explicit data, but it's also implicit data. So what happens today if you're not feeling well when you go online and you go to a search engine and look for some information, And go to a website. Where does your, so you browse around, right? You start reading about stuff. Where does this data go? Where does it go? To Google and to any other website that you went to. What do they use the data for? Sell you toasters or drugs you don't need, right? What if instead we took this data and provided it to doctors for context? For the doctor in the room, you know, sometimes patients come and complain about pain, but what they really are talking about is depression. And if you had some context about where they're coming from, you would not look for the source of pain, you would look for why they're depressed. So having contextual data for the doctors when they serve you and the objective is not just what's coming from wearable or from some of the amazing diagnostic texts like we learned before, but it's what comes from your browsing history.…
AI assessment note: “I can't comment on it yet, unfortunately”
Not addressed raw tape
D 1 · C 3 · P 3 · Cm 2 2.25
Q So those are the suggestions when you route the right answer to the right person, those are just suggestions, and then the, the physicians makes the call?
A Think about the world as our QA system, as a QA team, like an extended QA team that, you know, From the time we started this talk, probably we had, like, several thousand QA folks that went to our database, asked a question. We served them with a bunch of existing answers that were given to people like them. They were looking around and said, oh yeah, this is what I'm looking for. Thank you very much. I'm going away. Or, you know what, I'm asking a question about this, and by the way, I also have a scratch in my elbow. I'm not sure it's related, but I don't see it in your database. I'll ask the question, push it to doctors. After a few seconds, you get a few more answers, and they expanded the database to a place that it wasn't before. So we're going very, very deep into the long tail, we're going very, very deep into attribute-based matching, because even if that question was answered before many times, maybe it was not answered to a person like you, and then we can basically create the world's largest knowledge base of doctor's wisdom, basically, by far.
AI assessment note: “Think about the world as our QA system, as a QA team”
