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Shivdev Rao
Cofounder, Abridge

Next Unicorns: Building the future of healthcare communication with Abridge CEO Shiv Rao | E1784

🎥 Jul 26, 2023 📺 ThisWeekinStartups ⏱ 52m
(00:00) Abridge CEO and Co-Founder Dr. Shiv Rao joins Jason (3:22) Abridge's journey and tailwinds in the industry (6:43) The sudden advancement in AI tech (8:29) The importance of conversation in healthcare (12:00) Crowdbotics - Get a free scoping session for your next big app idea at crowdbotics.com/twist (13:29) Dr. Shiv demos Abridge (21:49) Reinforcement training and building trustworthy models (23:10) Use of this product in the field and feedback from clinics (26:53) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist (28:00) Time saved using Abridge (30:30) How patients interact...
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About Shivdev Rao

Shivdev Rao, cofounder and CEO of Abridge, has been demonstrating the company's AI-based clinical documentation technology. In a September 2023 interview, Rao stated that thousands of clinicians across primary care and subspecialties are using the tool, and that the company is scaling rapidly. He said the technology automates "well over 90% of the note" and that clinicians report saving two to three hours per day. Rao also highlighted Abridge's integration with Epic through the "Partners and Pals" program, which he described as a "game changer" that allows for deep integration and faster innovation. Rao has emphasized that the company's approach is grounded in the idea that healthcare is fundamentally about conversations between clinicians and patients. He stated that Abridge is building multilingual models and focusing on transparency and trust in large language models. Rao described the current moment as a "tornado" of tailwinds for addressing clinician burnout, and said the company is "building responsibly, but building incredibly quickly." He also noted that the consumer version of the app remains available, with over 450,000 users.

Source: AI-verified profile updated from Shivdev Rao's recent appearances. Browse all interviews →

Transcript (92 segments)
J
Jason0:10
Why did they go from not moving fast to moving fast? Is it just because it's so broken and they're so exhausted and they're finally ready to capitulate and use the technology?
S
Shivdev Rao0:21
Yeah, we just pushed way past the point. This week in startups is brought to you by Crowdbotics. Great ideas can change the world and Crowdbotics is the fastest way to turn those ideas into code. Get a free scoping session for your next big app idea at crowdbotics.com. Twist Vanta. Compliance and security shouldn't be a deal breaker for startups to win new business. Vanta makes it easy for companies to get a SOC 2 report fast. Twist listeners can get one thousand dollars off for a limited time at vanta.com.
J
Jason1:10
Today, another amazing episode of our The Next Unicorn series. If you want to see all the startups we've featured in this over the years, thisweekinstartups.com/nextunicorns. What is the idea behind the show? We find promising companies that we think could change the world. And just last week I interviewed Andy Beck. He's building Path AI. If you remember that, it helps make pathologists superhuman. They get a 3D model, they look through the microscope, and it makes it easier to diagnose things like cancer, maybe more accurately, will drive treatment, and hopefully extend people's lives and suffer less suffering. Great mission. Today, another AI founder in the healthcare space. Dr. Shiv Rao is a cardiologist, teacher, former corporate VC, and he converts them into what the industry calls, I believe, SOAP notes. SOAP notes stand for Subjective, Objective, Assessment, and Plan. Basically, the concept is to save doctors and healthcare professionals a ton of time, maybe reduce the errors, and again, we're just suffering increased lifespan so that the human species can enjoy more of the limited precious time we all have on the planet. Welcome to the show.
S
Shivdev Rao2:35
Thanks so much, Jason.
J
Jason2:37
How has the last five years been with the ascension of the show Succession and everybody telling you, Shiv, like, on the show, I love that character, that must be...
S
Shivdev Rao2:50
I love the show. I just sort of non-politely wish they were likening me to the prison life, but you know, gotta think it's in my top three of all time.
J
Jason3:13
Yeah, I mean, it's so good. I mean, it's The Sopranos and Succession, and then I gotta fight for my number three spot.
S
Shivdev Rao3:20
Totally. Yeah, just incredible.
J
Jason3:22
So how long have you been working on the company?
S
Shivdev Rao3:25
Yeah, and for people who want to check out the website, it's abridge.com. A-B-R-I-D-G-E. So we started Abridge in 2018, and in 2019, I'd say it was all in. We were going at it. And in 2018 when we started, I was juggling a couple different positions. I was sort of unwinding from that corporate VC role at a large health system, and we were also getting our research chops going inside the company because of proprietary technology. So 2019 is where things got started, started to get very real. And fast forward to 2023, I mean, it's insane. I'd say the last six months for us, maybe even eight months, have just been game changing. It's been sort of slow, slow, slow, and then suddenly it doesn't feel like tailwinds, it feels like a tornado. And there's two tailwinds going on for us right now. One tailwind is just the industry. The moment in healthcare right now is such that clinician burnout, staffing shortages, labor shortages are one of the first priorities for every single health system executive out there. They need to solve that problem. It's mission critical. And the other tailwind is generative AI. I was at a dinner for a bunch of VIPs in healthcare and I was teaching them about generative AI, and this was two months before ChatGPT came out. So when it busted open, everyone called us like, 'Oh, we get it now. What you were talking about a couple months ago, we're ready. Let's try this.' And you're like, 'What? I've been working on for five years, yes.'
J
Jason5:31
It is interesting how something can just break the dam and then everybody goes from being like, 'I would never even ride in an electric car,' and then they're like, 'When can I get one? And what's the wait time? And how many can I buy?' We just, these revolutions are like slow, slow, slow, and then boom, they just arrived. So one of the things I remember about having me install this stuff with headphones and training for two or three hours to get it to work, and it would have them say these words over and over again. And now, you know, I start looking at the Zoom transcript and you can watch the Zoom transcript in real time during a call. I didn't know you could do that. And I was interviewing Dharmesh, the CEO and co-founder and CTO of HubSpot, and I was watching our discussion in a live transcript, and I was like, it's completely accurate now. Explain to the audience how it went from being you got to train this thing for three hours to be a disaster, or less of a disaster. Siri can't call your spouse or get the... you know.
S
Shivdev Rao7:12
A federally qualified health center, so a health system center that is caring for a lot of Medicaid patients, patients from many different backgrounds, social and cultural. And they asked us, they actually challenged us if we'd be willing to let them come on a demo and allow them to actually run the demo, which I'd love to go through with you.
J
Jason7:36
Yeah, absolutely. We'll do it right now.
S
Shivdev Rao7:39
Yeah, and speak in multiple languages. So they came in and spoke in Brazilian Portuguese and Haitian Creole, and we still ended in English, and we still created one English note at the end of this and structured all the data and did... Aztec, ancient Egyptian language we've never actually heard before. Yeah, I mean, it's pretty crazy. We're going to literally be able to take languages that no human has ever heard before and probably figure them out based on all other dialects. So let's do a little demo here. For those of you who are not watching, what the hell are you doing? Go to YouTube.com this weekend and sign up and watch these incredible demos. Or for the podcast, we'll describe what's on the screen. If you're driving, please do not watch YouTube when you're driving. Totally, unless you're in Cruise. If you're in Cruise in the back seat of a Cruise or a Waymo, you can do that. So I can share a little bit, a couple lines of high level context to set the stage for the demo. Conversations over the phone or call centers, and certainly most of healthcare happens in person, and we're omnichannel. We have a Swiss army knife approach. We can be a part of all those conversations wherever they are, and that's where our technology is going to structure and summarize them. And when we think about these conversations, they're upstream of a lot of processes in healthcare. A lot of potential. They're upstream of all the diagnostics we order as clinicians for patients, all the therapeutics we also prescribe. They're upstream of clinical trial recruitment, of coding for all things revenue cycle to keep the lights on, and risk adjustment in the value-based care world, which is a whole other paradigm of how you can create and capture value. I'm a practicing cardiologist. I'll see a handful of patients every month in my free time. I'll take the shift nobody wants on a weekend. On Memorial Day weekend, I signed up to take cardiology call, so I was in the hospital and in some clinics, and I'd walk from room to room to room. And I get to use Abridge. That's a big part of why I do it. I just hit the button, I hit record, and then I'm capturing the conversation with a patient. And we might talk about the Pittsburgh Steelers for a while because there's a lot of Carnegie Mellon DNA in our company, and we're distributed, but we got a lot of people here in Pittsburgh. And that's fine. We could talk about politics, the NFL draft, the weather outside, anything we wanted. That side manner is always good to build rapport with the patient. Doctors are trained to do that. So we just have this normal, organic conversation. I hit stop, I swivel my chair, the note's ready, everything's in the record, it's all good to go. And before Abridge, what I had to do is take chicken scratch on a piece of paper like, 'Tall guy, tall guy in the Mets hat.' And that means Saturday morning I'm reading 'Tall guy in the Mets hat' and I have to remember who was that guy. And I'm spending hours perseverating over this, and the hospital system's losing revenues because it's too late to bill at that point in time. And it's burning me out, let alone accuracy and the fear of inaccuracy. Oh my God, what if my chicken scratch I remember it wrong, or the memory is just such a fragile and unique thing in humans. You can juxtapose right and you don't...
J
Jason12:10
Velocity, speed, the speed in which your product improves. So can you ship updates, can you release new features, can you do bug fixes, can you iterate on the interface, can you solve problems for your customers, and can you do it quickly because you're not alone? You have competitors, and your customers have choices. They may solve their problems by writing their own custom code or they might use your solution. This is what startups are about: how fast can you get that product velocity going? And so you know how do you supercharge it? Everybody says, 'Okay, yeah, we want to go faster,' but you got to go faster intelligently, and Crowdbotics is going to help you do that. They're your CTO as a service basically. They provide you with the most optimal architecture to get your product to market as fast as possible. You'll have access to an on-demand product manager and developer talent, and they supercharge your product velocity today. No more waiting. Get a free build plan at crowdbotics.com/twist. That's a $499 value just for the Twist listeners. You get that for free. That's crowdbotics.com/twist for a free build plan.
S
Shivdev Rao13:28
So I'm going to share my screen. This is how I used it myself on Memorial Day weekend. I think you can see my phone. Beautiful app. Awesome. So this is what I use. I just open this app up on my phone. I'd walk from room to room to room. So if you're my patient, I'd say, 'Hey Jason, do you mind if I use this note-taking solution? It's going to help me focus on you and stuff.' 'Not at all.' 'Awesome. Cool.' So now hit the button, and now we can just sort of do some improv. So, hey Jason, tell me what's going on.
J
Jason14:11
Breaths, and I was fine, but then when I woke up in the morning, I kind of tripped a little bit because I was so short of breath, and the dizziness came back.
S
Shivdev Rao14:21
Okay, got it. And so have you noticed that the shortness of breath is worse with activity?
J
Jason14:26
Yeah, it's definitely when I'm going up the stairs it's much worse than going down the stairs or walking on a flat surface.
S
Shivdev Rao14:31
Have you noticed any chest pain or chest pressure?
J
Jason14:35
No chest pain, but I did feel a little tingling in my shoulder on the side of my heart. That's why I called.
S
Shivdev Rao14:42
Okay, got it. All right, have you noticed any lightheadedness? You did mention lightheadedness, right?
J
Jason14:47
Yeah, I did. When I woke up in the morning and then when I got to the top of the stairs, those are the two instances of feeling lightheaded in the last two days.
S
Shivdev Rao14:54
Okay. You know, I'm looking at my medical records. I saw you at McDonald's last week and you had like six Big Macs in front of you.
J
Jason15:15
Those weren't all for me, but yes, I did eat too. I have been overeating. I'm 40 pounds overweight and the diabetes isn't good. I gotta cut back.
S
Shivdev Rao15:23
Well, I'm not here to confront you on that. I'm only bringing it up because you know, diabetes, hypertension, when you tell me you have shortness of breath, I'm worried it could be related to your heart because you have these risk factors. So I think we should take this seriously. So I want you to come in this afternoon. Let's get an EKG and an echocardiogram. Those are quick tests that are going to give us a sense of how your heart's functioning.
J
Jason15:45
Okay, great. Are they covered or do I have to come out of pocket for those?
S
Shivdev Rao15:48
No, they're covered. They're easy, and I can take them both today or do I have to schedule them? I don't want to waste too much time.
J
Jason16:10
The Ozempic or Wegovy, I keep hearing about those.
S
Shivdev Rao16:14
I think I'm going to... that one you might need to pay a lot of money for, so I'm going to ask our nutritionist to call you next week and discuss all these weight loss medications. All right, and then also today, in terms of your lightheadedness, I think that's probably because we have you on too many medications actually for your blood pressure. So I think your lightheadedness is because of what we call orthostatic hypotension. When you stand up or you go up the stairs, you're feeling lightheaded. So I want you to stop taking your metoprolol.
J
Jason16:48
All right, okay. Stop taking my metoprolol.
S
Shivdev Rao16:50
Yeah. Last thing, I'm sorry to confront you on this. You're a really famous person, you're traveling the country, you're doing all sorts of stuff. The world...
J
Jason17:11
Sharing them. So where are you at now?
S
Shivdev Rao17:15
I mean, I have two to six glasses of wine a night.
J
Jason17:18
Okay, all right. It's a range, you know, it depends.
S
Shivdev Rao17:24
It's a little bit better maybe than where we were before. So in terms of your alcohol habit, I'm going to ask our behavioral health therapist to call you next week and just sort of talk through your stress and see if there are other things that we could get you going with that could help.
J
Jason17:37
All right. Well, you tried doing six podcasts a week and that's how stressed out you are. I get it. I get it.
S
Shivdev Rao17:43
All right, last thing. I want you to start taking, for your high cholesterol, I want you to start taking a statin, 40 milligrams a day.
J
Jason17:51
Okay, okay. Atorvastatin? Yes, I got you. Don't worry.
S
Shivdev Rao18:10
Nope, just want to get that. If you can get it covered under my insurance, that'd be awesome.
J
Jason18:16
Okay, we'll talk about it.
S
Shivdev Rao18:17
All right, so we have that conversation. Now what the technology does, I can sort of describe in detail and then we'll look at all the output. When I was a good role play, you and I are good. We got a future. We should be doing like the when they do a spin-off of Succession and they go back in time to their childhoods, you and I could take the show on the road.
J
Jason18:36
Exactly. Awesome, man.
S
Shivdev Rao18:38
So that means I can kind of call you in to some of our demos maybe.
J
Jason18:43
Yeah, no problem.
S
Shivdev Rao18:45
So when I was seeing patients on Memorial Day weekend, I'd walk from room to room to room, and then I'd leave and I'd realize I have to do a lot of clerical work that serves three masters. I have to write a note that gets the health system money, and I'm the worst at that by the way. I do such a bad job that people chart chase me for weeks and months trying to figure out what I was thinking, because I always do the most non-specific thing, which is not good. But then the third master or constituent is the most important: it's the patient and the family member. They're going to go to their portal, they're going to see my note, and in my case they're going to see a term sometimes like transcatheter aortic valvuloplasty, and who knows what that means. So what Abridge does is it helps with all three constituents. So here's the note. I'm going to show this in a web form factor because it's just going to give us a lot more real estate to look at, and then we can kind of geek out a little bit on how it works. And now, worse with activity, particularly when going up the stairs. Not experiencing chest pain but has tingling in the shoulder on the side of the heart. Lightheadedness upon waking up in the morning and reaching the top of the stairs. Has a history of diabetes and hypertension, overweight by 40 pounds, admits to overeating and consuming alcohol regularly, two to six glasses of wine per night, more on the weekends. On metoprolol and has high cholesterol. So it tries to summarize your story. That must be some incredible prompt to do that.
J
Jason20:35
I just gotta go through that whole four minute conversation and then summarize all the facts that were in the whole dialogue.
S
Shivdev Rao20:46
It's a whole bunch of machine learning models we can get into that live below, beside, on top of other larger models to basically make it work. And you can see below in the assessment and plan, it's organizing all the thoughts. As a clinician, you need to, and that's how you communicate most effectively with other doctors. You need to organize your thoughts, and we're organizing those thoughts the way Medicare wants to see it. That's sort of a gold standard, how the government would want this. But it's sort of summarizing a little bit your story and the plan: EKG, echo, diabetes nutritionist to work on that diet, and we're going to have them talk about Ozempic and Wegovy, and then orthostatic hypotension, discontinue the metoprolol, alcohol behavioral health therapist is going to help you. Here's a really, really important feature. And here's the Lipitor. If I was like, 'Wait, did I mention Lipitor? I don't remember telling Jason about Lipitor.' I could highlight any part of this note. This is reinforcement learning. This is a model trained with millions of dollars of data that we were creating in 2018 and 2019 and 2020 to be able to build something that can actually build trust with these generative models, because sometimes you don't know, did that happen or not? And if you don't trust the model, you end up looking at everything. So instead, you could highlight a word, you could highlight a phrase, you could highlight a whole paragraph. But this is because we had a debate about how much I was drinking, and it needs to go... you got to make sure that it wasn't your assessment of my drinking or mine, or maybe some average of the two.
J
Jason22:48
Exactly. And that's documented correctly.
S
Shivdev Rao22:50
Yeah, exactly. And let's just say I'm like, 'Wait, did we... I don't really remember that part. I want to listen to it again.'
J
Jason23:11
Doctors have been using this in the field. Where are you at?
S
Shivdev Rao23:14
Probably about six to eight months now.
J
Jason23:18
And how many? For the person who's the tip of the spear, the doctor who's got the most, not you, how many have they done and what's their reaction been over the last six months?
S
Shivdev Rao23:29
Once a clinician starts using this, we are over 90% of clinicians stick with it. They use it for every single one of their patients. That's how we define it. Every single clinic, do they use it? It's like a percentage. Your batting average is 100.
J
Jason23:48
What was the most positive feedback and what was the most negative or scared, cautious feedback?
S
Shivdev Rao24:12
Document things so that you don't get sued, and if you do get sued, you have the evidence. I could see other people, you know, I've been on different boards over the decades where they say, 'Hey, we should record the board calls,' and every law firm's like, 'Don't record the board calls because now we got a transcript, and don't transcribe them and write the shortest board notes possible so it's concise so that we don't have, if there is a shareholder or any kind of lawsuit, they don't weaponize it against us.' So let's walk through the reactions and then this very acute issue. If you use one of your industry terms around liability, go up, down, sideways, left, right.
J
Jason24:44
Yeah, absolutely.
S
Shivdev Rao24:47
I can answer those, and I'll just wrap up this demo really quickly too on the other side of that. So University of Kansas Health System, they have over 2,000 clinicians there. Training and annotating to be able to build for all. And Greg Gator uses it his first time in clinic, and he told us afterwards his immediate reaction was that this is the most important thing to healthcare since the stethoscope. That's what he wrote for us, and we can't wait to put that on our website. But that kind of feedback is rolling in not just on a weekly basis, it's happening every single day with clinicians. So I truly believe this is the biggest, most profound opportunity for generative AI. This is the... you can't swing a stick in healthcare and not hit a billion dollar opportunity to change something that's so important to every single one of us. And as long as you believe in the thesis that healthcare is about people and they're having conversations, that it's not about... Downstream here is coding. We can pull out all the structured data and give you the evidence to support the code. It says their ICD codes. What does that stand for?
J
Jason26:19
Yeah, so that's like this industry nomenclature around a type of code that you can bill for. Those are the billing codes. We hear about that all the time.
S
Shivdev Rao26:30
Exactly. So these are billing codes. These HCCs are a different type of billing code. But the key piece here is that we're pulling out the billing code, but we're also giving you the evidence that you can again go all the way back to the ground truth to use it and defend. So it's like revenue insurance in a way. It's creating a very trustworthy not just transcript but these insights that it's pulling. If you're a services company that needs to get and renew your SOC 2, on average customers get SOC 2 compliant in just two to four weeks. Compare that to three to five months without Vanta. And Vanta can save you hundreds of hours of manual work and up to 85% of compliance costs. This is a total no-brainer. And Vanta does more than just SOC 2 compliance. They also automate up to 90% compliance for GDPR, HIPAA, and more. You can't afford to lose out on major customers. We all know that. Listen, it's a hard year. Last year was hard. You can't lose those major customers because you don't have your compliance styled in. Just work with Vanta. Get your compliance automated and tight. Tight is right. Lock down those big deals. Here's the best part: Vanta is going to give you a thousand dollars off. That's $1,000 off at vanta.com.
J
Jason28:12
10 hour shift, except a 12-hour shift. I mean, we're talking about a 25% lift.
S
Shivdev Rao28:16
Yeah, exactly, exactly.
J
Jason28:18
It's so interesting. When I had Aaron from Box, Reid Hoffman on, and founder of Airbnb, Brian Chesky, I asked them what percentage of time they were saving. I asked Dharmesh the same thing. They all said like 20, 30, 40% depending on the role. It feels like we're all, this current wave of AI innovation out of the gate seems 30% of people's time. That's kind of mind-blowing if you think about on an entire economy. Now we're seeing it not just an artist making wedding invitations or you know... valuable. And then you mentioned earlier there's a shortage. You get all your doctors to use this and use it well, in year one you get a free doctor for every four. Every three doctors, you get the fourth free. Just think about what this could save in healthcare. And then less mistakes, and the mistakes are costly. So that's like, and obviously there's cost and money, but this also costs in death or missing a diagnosis and suffering, which are really hard to even quantify, although I guess people do quantify them.
S
Shivdev Rao29:49
There's an article that was published in the Journal of General Internal Medicine just some months ago that estimated... top of their license, they can focus on what they want to do, which is be creative and figure out what is the differential diagnosis, what are all the possibilities here, what should we try. And I think we're also being clear that this is also an extension of every doctor and nurse's best intention to be there for their patient even when they're not in front of them. This is the... I guess the website, you're doing mobile web or an app. This is a mobile app now that's yours. This is like React or something in a wrapper or something.
J
Jason30:40
Yeah, exactly.
S
Shivdev Rao30:42
So it says, 'Your conversation is ready for review. Explore your summary. Review changes to your medication.' So this is my view of our interaction.
J
Jason30:49
Fantastic. Exactly. So I get that note, I make my quick edits. On average it takes about 20 seconds if that for people to quickly make it... the part about the NFL kids or whatever.
S
Shivdev Rao31:10
Exactly. So if you went home and you could filter by the starred moments, which are like the most important moments, like the next steps. If you went home and you were like, the starred moments are done by AI. So you're saying little snippets from our conversation were these done by the doctor? By AI?
J
Jason31:28
Can I play them or are they just transcript like this? So do I get the entire conversation or just...?
S
Shivdev Rao31:34
You get the excerpts, but it's kind of up to the enterprise when we do these enterprise deals. So I guess the question then is we have to adjust because things that can be leaked will be leaked. You could have a patient whose phone could get hacked and somebody's calls could be leaked, their private conversation with their doctor about something very private, depression... which is the main construct in healthcare around data privacy and security, and how really this should belong to the patient. So we have to jump through those hoops. We have to jump through hoops around where is this data stored and how is it stored, how long is it kept, and what is the data? Is it just transcript? Is it summary? Does it include audio? But this piece of it is, I think, a Kumbaya across everyone, which is what we also do for you for the patient. We pull out the key pieces parts of the conversation. We decode it. We define everything, so explaining to people what an EKG, an echocardiogram, the diabetic diet, Ozempic. So there's a glossary attached to all this. So exactly when I felt in this conversation with my doctor that they... and annotate this in some way.
J
Jason33:14
So I guess that's probably on the roadmap.
S
Shivdev Rao33:15
Absolutely. And I think one of the ways we approximate for that right now is this where you turn the app off. Maybe in a week you get a notification like this and it says, 'Hey, Jason, we think your doctor talked about Ozempic, and we're pulling out just the key moments and reminding you, keeping it top of mind. Endocrinologist to talk about Ozempic. I told you to take atorvastatin.' You could play that digest if we've enabled audio and the enterprise is okay, we've jumped through all those hoops. If you say no, then you give us annotations, you tell us where we went wrong, and then that improves our model as well. So we get that data network effect on both sides, not just the clinicians but... person or as you mentioned a celebrity, and I don't want there being a record of any of this because you criticizing my alcohol consumption. I think you were trying to do this with Dharmesh, but he's the one who's drinking far too much wine, I think, even as good as it is. So interesting. This is so many societal best practices and thinking about this. Young people, I mean, they're recording themselves doing all kinds of crazy stupid stuff. So doing something intelligent like this, they're going to be fine. And then the people who are part of the paradigm who don't want the stuff recorded, well, paradigms don't die, people do. So they will be part of the paradigm that doesn't want to record this. But my Lord, can you imagine if I had this since... the way like, maybe we should screen for something. Maybe he's got some lung deficiency. The AI is going to find stuff in here that's going to be incredible. I mean, it's extraordinary. So how do you charge for this? You charge per interaction or like $25 per interaction, or you just charge a flat rate?
J
Jason35:27
We try to make it as simple as possible. Per doctor per year or per clinician per year. And we go deep on the other side of this note. We integrate it all into the right places in the medical record because there's discrete fields. Part of this is not just the generative piece, it's all the copy and pasting you might have to do if we weren't integrating. We're going to make sure we already do with these large health system customers, but across all the EMRs, we'll make sure to get all the data in the right places. When you're on the team, of course it's 2023, but there's always somebody where the buck stops, and that buck stops on their desk and doesn't get into your bank account. These high-level folks are hard to find. They're hard to target on social media platforms, but LinkedIn is the social network for business, and they have 930 million members ready to do business with you. And that includes the 180 million senior level decision makers. Plus, don't tell anybody, there's also 10 million C-level executives there. That's a ton of purchasing power. LinkedIn ads is built specifically for B2B market workers. No other platform in the world can offer these eyeballs, and you can target them obviously by their location, the size of their organization, their vertical, and their title. When you think about business, I want you to just think about LinkedIn. LinkedIn equals business. Business equals LinkedIn. It's that simple. Start your first campaign by going to linkedin.com/nextunicorn to claim your credit. That's linkedin.com/nextunicorn. Terms and conditions apply because LinkedIn is so generous to this week in startups audience.
S
Shivdev Rao37:23
All right, I got to ask you the obvious question. You're a cardiologist, correct?
J
Jason37:29
Yep.
S
Shivdev Rao37:29
Don't take it the wrong way. But in 10 years, if you in a hundred interactions like the average 100 interactions, how many of them would you know? 10 cardiologists out of 10 cardiologists give the same basic feedback for... it's a great question. I think what... cardiology is an interesting field because it is, there's a lot of dollars in cardiology, so there's a lot of... now and say, 'Aren't you just building this in order to replace the doctors or maybe replace the first third of interactions?' And I'm looking at and I'm going, 'You know what, I can't afford healthcare. I'd rather just pay you $50 to talk to your AI.' Or, 'Hey, I'm a country in Africa that has no medical system, and the idea of getting a meeting with a cardiologist is for this 10 million person population impossible. It's a frontier market. Or it's in the South here in the U.S., there's somebody on the Appalachian mountains in Appalachia and they don't have any health insurance. Your AI can beat nothing already.' You would agree?
J
Jason38:53
Exactly.
S
Shivdev Rao38:53
You think that's... not make sure not to over pitch what we're delivering to the market right now. We are not delivering a chatbot experience where you can kind of talk to an AI doctor. If you're transcribing it, you're categorizing. We get that. In five years, when you have a hundred thousand interactions, we both know where this is headed. In five years, we got a hundred thousand of these in here. AI continues to grow at a modest pace in terms of its fidelity. Would you rather your sibling not go to a cardiologist at 50 years old when they had symptoms, or talk to the AI in five years? I mean, absolutely the latter. And I think that there's a responsible way to do it though, and I think that's the solutions that are going to win. In healthcare especially, it's... of issues that people have on a daily basis. Is it reliable? Once you hit it once with the same question, is it the same answer or is it a different answer every time? That's one of those issues that we see with some of these models. And is it transparent? And I think what we as a company are trying to do is build those three pillars into the DNA of everything that we do. So we've published tons of peer-reviewed computer science papers about how do you point a transformer at healthcare use cases. We do that in the clinical research world now as well. We validate. We get as rigorous as we can. We build our own models with our own proprietary data sets. So our own speech recognition system internally we call Ears. The multilingual system that we fine-tuned with healthcare data to get words like... generated. So I think whatever that time horizon is, in 10 years, 20 years, five years, can AI start to be an incredibly good triage nurse or clinician in an urgent care and deal with a lot of the issues that all of us have? Absolutely. And I think that's awesome. So that's fantastic. That's what we need. Just think about the internet. There's whatever billion or so people not on the internet yet. If they got Starlink and they get access to Wikipedia and a bunch of health websites, that's going to really help emergency care or whatever. And then you start thinking about the AI impact. There's going to be somebody in the field who has some symptoms and they... this is this incredible fulcrum that you found, which is there's an acute problem right now. Save time for doctors who are quitting because they're overworked, doing 27 hours in a 12-hour shift, they're underappreciated, they quit constantly, and they're exhausted, and they're underpaid, and they're sued too often. Now I take this great fulcrum, you make them superhuman, and then the AI is going to really be able to take two-thirds of interactions maybe off their plate, and they can focus on the most important ones.
J
Jason42:45
Totally. So that must happen already. The idea of even taking your temperature at home or your blood pressure at home, or even knowing how many hours you slept last night, that's something that didn't exist... detecting atrial fibrillation. So there are patients who've been diagnosed with AFib because of the Apple Watch, and then we kind of really pull them through.
S
Shivdev Rao43:20
Is that the proper path or is it chest-based, more accurate?
J
Jason43:26
Well, the 12-lead, the chest-based, is going to give you a lot more detail on what's going on, but the Apple Watch is validated to do a good job on detecting that diagnosis, that issue. So I wonder if they're going to get that glucose monitor working. There's that rumor that you can have a watch that will be able to tell your glucose level.
S
Shivdev Rao43:45
Is that possible? Is that real? Blood pressure too. Blood pressure would be a game changer for me. How would they get blood pressure through a watch? I mean, I know you can buy like the Withings makes a smart blood pressure cuff and that will go to the cloud, but... proxy for a blood pressure at the very least, and maybe that in and of itself can be valuable.
J
Jason44:16
Well, congratulations. You started on this years ago and we're all caught up, and now everybody's probably want to throw money at you after four years of you begging them to support your vision and them saying it's too early. And now they're too late, and all these investors are going to have to play catch up now, pay a little bit of a higher price for not having the vision to back you earlier. Congratulations. Are you hiring right now?
S
Shivdev Rao44:38
Absolutely. Let's get some positions filled here. Go to abridge.com. I guess you got a careers page up there.
J
Jason44:46
I do.
S
Shivdev Rao44:46
So go to the careers page. What do you most need? What are you most acutely need? What roles and what's the culture and type of person you want to have at the company?
J
Jason45:11
Clinicians and patients and administrators across some of the biggest health systems in the world. And in your training a model and you ship it in a matter of minutes, and you get that feedback. That's the kind of culture we have. We're building responsibly, but we're building incredibly quickly, and we're getting feedback loops that are just instant. You gotta check these things. You got people, you gotta check them, but we have the instrumentation in place where we can benchmark very quickly quantitatively and decide to ship. So I think one of the best compliments we got from an early customer was, 'Abridge on Monday was amazing, and it was better on Tuesday, and even better on Wednesday, Thursday, Friday.' And that's the speed that we're going at right now, which in healthcare is a totally new thing. It's all happening and... using it every day and see if they can get 20, 30% faster at their jobs and make your company more profitable or get to profitability. This is an incredible revolution. It is not undersold. It is not oversold. It is undersold. You and I who are in the trenches with this, you can just see how this is going to compound. They just had Tim Urban on. I don't know if you've ever seen Tim Urban's favorite famous chart. It's like progress and then... and I'm making a line that is just a very slow gradual growth line. Hopefully producer Brian has it handy on the show, and it's like puts a little stick figure on the line, and then the line goes hockey stick straight up, more than a hockey stick, like a skyscraper. And... yeah, I mean, doctors are going to be learning stuff they just... the idea that you're a doctor and you have to do trial and error and triangulate around what's going on. Like you said, you're starting to get Apple Watch data now. Imagine you've got a thousand patients in your network as some insurer, and it starts sending messages to your clinicians like, 'This person's heart rate is this,' and you both get an alert. You're both dumped into a chat room, and it's like, and the ambulance driver is on the way to their location. That's the world we're going to live in. All of a sudden you're going to get a phone call from your doctor. It's like, 'Hey, Dr. Shiv,' and it's like, 'Yeah, the ambulance is on the way.' And you're like, 'Why?' And it's like, 'Well, we saw you're having this happen with your heart. We just want to be safe.' And... coming to. I mean, it's going to be a crazy world. The fact is, people have gone flying off their mountain bikes alone, and if you have the latest iPhone and it has the crash detection, and somebody got knocked out unconscious, and somebody came and saved their life because of their Apple Watch or phone. I mean, this is going to be... I was an EMT for a little bit, and just what's going to happen in emergency medicine combined with this. I used to have to sit there, I did dispatch too for an ambulance, and they would be wailing down the BQE in Brooklyn yelling at me the vitals. I'm writing the vitals down. I'm on the phone with Victory Memorial Hospital or Maimonides, and I'm reading the patient's blood pressure to the nurse at the emergency room while... blowing my mind more than anything else in 2023 is that healthcare is moving at the pace that it is with this technology. Is it really moving faster finally? It is moving so fast. Why did they go from not moving fast to moving fast? Is it just because it's so broken and they're so exhausted and they're finally ready to capitulate and use the technology?
S
Shivdev Rao49:34
Yeah, we just pushed way past the point. And on the other side of the pandemic, clinicians just collapsed, and it was enough was enough. We had to do something. We have to do something. And so it's desperation. We need tools, and these tools are working. I think that's the other thing about generative AI. We're coming in and we're just putting... we're just saying, 'Use the product. You will see the value is there.' This is not... Twitter. Abridge is a company. You go to their jobs career page. Continued success. I'm just glad you're out there in the world doing this. It's God's work. If you're an atheist, humanity's work. Pick whatever you like, but you're going to save a lot of lives. Thank you so much.
J
Jason50:25
Yes, of the audience, humanity. I, as the host of This Week in Startups, thank you.
S
Shivdev Rao50:30
Thank you, Jason. My unique position. Where are you based?
J
Jason50:33
Thank you so much. I'm in Pittsburgh.
S
Shivdev Rao50:36
Oh, wow. Very nice. Carnegie Mellon. I mean, what a university. The talent coming out of there is just extraordinary. I went there a lifetime ago and then became a cardiologist, then became the corporate VC, and now I'm just trying to put it all together here. But you can buy an amazing... the best in the world. You know, I was on CNBC and I knew somebody who was like at the endowment of Carnegie Mellon. He's a very proud person from Pittsburgh, and they're like, 'You think Amazon HQ2 is going to be in Pittsburgh or this place or you think it's going to be...' I'm like, 'Pittsburgh? Young people don't want to be in Pittsburgh. They're going to want to be in New York, Miami, Austin, San Diego, Los Angeles, and maybe DC.' I'm going to go with like Austin, New York are going to be the places. And it was DC, New York. And he was like, 'What the heck? Why are you just saying...' I'm sorry, bro. I'm sorry. I'm going based on a stereotype. My bad. Features of this incredible, beautiful, bucolic countryside and houses. It's gorgeous. It's honestly... and fantastic. Well, shout out to USV for another winner, and we'll see you all next time on the show. Bye-bye.