The Power Of AI In Clinical Documentation with Matt Ko, co-founder, President, and Chief Operating Officer at DeepScribe

[00:00:02] [SPEAKER_02]: Hey everyone, welcome back to the Outcomes Rocket Founder Stories. I'm so excited that you tuned back into our podcast

[00:00:11] [SPEAKER_02]: We're interviewing some of the best leaders in the industry in healthcare and today is no exception

[00:00:17] [SPEAKER_02]: I've got the pleasure of hosting the amazing Matt Ko on the podcast

[00:00:23] [SPEAKER_02]: He is the co-founder and president and chief operating officer of DeepScribe

[00:00:29] [SPEAKER_02]: They're an AI platform that automates medical documentation for clinicians

[00:00:34] [SPEAKER_02]: DeepScribe is a leader in generative AI for clinical documentation serving over 1200 provider organizations

[00:00:41] [SPEAKER_02]: Across the us. I'm so excited to have him here. I mean this guy's even been named Forbes 30 under 30

[00:00:49] [SPEAKER_02]: Just incredible. So I want to welcome him here to the podcast Matt. So glad you're able to make it

[00:00:55] [SPEAKER_02]: Thanks for having me Saul

[00:00:57] [SPEAKER_02]: Oh, it's a true pleasure. Look you've had an incredible career

[00:01:01] [SPEAKER_02]: Leading up to your jump into entrepreneurship and so one of the first things that I love to ask our guests is

[00:01:08] [SPEAKER_02]: What is it that got you interested in entrepreneurship and in healthcare?

[00:01:14] [SPEAKER_00]: That's a great question

[00:01:15] [SPEAKER_00]: Like it's funny if you asked any of my friends if they would ever imagine that I would be running a clinical

[00:01:21] [SPEAKER_00]: Documentation company they would all just laugh at you

[00:01:25] [SPEAKER_00]: Why why?

[00:01:27] [SPEAKER_00]: I think for me like I've always been a very passionate person

[00:01:30] [SPEAKER_00]: I've always kind of wanted to do things that I absolutely love and

[00:01:35] [SPEAKER_00]: Healthcare was not something that came naturally to me or in my opinion naturally to most people

[00:01:40] [SPEAKER_00]: Right. So my background is really in technology

[00:01:43] [SPEAKER_00]: I served as kind of a data analytics consultant for a small consulting shop called EY

[00:01:49] [SPEAKER_00]: Really helping me is like learn and understand how to use data

[00:01:52] [SPEAKER_00]: And when I was working at EY that I was also serving as a care coordinator for my mom when she had breast cancer

[00:01:59] [SPEAKER_02]: Oh, man

[00:02:00] [SPEAKER_00]: And so my mom's from Taiwan

[00:02:02] [SPEAKER_00]: She doesn't speak English very well

[00:02:04] [SPEAKER_00]: And I was mainly serving as my mom's translator

[00:02:08] [SPEAKER_00]: And we had this joke at deep scribe that you know all of this chaos started

[00:02:15] [SPEAKER_00]: When my mom asked me this one question

[00:02:18] [SPEAKER_00]: And it was are you lying to me?

[00:02:21] [SPEAKER_00]: And you know at first I thought she was just making fun of me because my Mandarin is just terrible

[00:02:26] [SPEAKER_00]: But she was like Matt, you know, you're telling me everything is going well

[00:02:29] [SPEAKER_00]: But why am I being treated like I'm already dead?

[00:02:33] [SPEAKER_00]: And you know that that had just a tremendous impact on me

[00:02:38] [SPEAKER_00]: And I just became inspired to be a better advocate for her

[00:02:41] [SPEAKER_00]: And so, you know, I went to the only person that I knew who was an oncologist, which is my co-founder's dad

[00:02:48] [SPEAKER_00]: And I was like, you know, maybe he can refer me to somebody that can take better care of my mom

[00:02:52] [SPEAKER_02]: Wow

[00:02:53] [SPEAKER_00]: And it was in that conversation where we actually learned about the problem that we're solving today

[00:02:58] [SPEAKER_00]: You know, he was like Matt you as a patient, you know, you don't see all the other

[00:03:03] [SPEAKER_00]: Things that your physician needs to do

[00:03:05] [SPEAKER_00]: After you leave the room and he kind of explained to me on how

[00:03:09] [SPEAKER_00]: Physicians are spending nearly half their day writing notes

[00:03:14] [SPEAKER_00]: And there's solutions out there that is in the hands of over 75 percent of physicians called

[00:03:22] [SPEAKER_00]: Dication, but you know, they're still spending half their day writing notes

[00:03:25] [SPEAKER_00]: And that was really kind of the first

[00:03:28] [SPEAKER_00]: Exposure to the problem that we're solving today

[00:03:30] [SPEAKER_00]: And it just so happened that Auclash my co-founder was leading the natural language processing group at the Berkeley research lab

[00:03:37] [SPEAKER_00]: And was studying synchronization

[00:03:39] [SPEAKER_00]: You know, this was back in 2017 before l over sexy and all that and that's kind of how

[00:03:46] [SPEAKER_00]: You know, we said why don't we try to take some of that technology and apply it to this problem

[00:03:51] [SPEAKER_00]: So that's really kind of how everything started and here we are seven years later. That's amazing, man

[00:03:56] [SPEAKER_02]: Thanks for sharing the story about your mom. Is she okay? She's okay. Oh, thank god. I'm glad you made it

[00:04:03] [SPEAKER_02]: God that that story's at, you know, kind of a point of frustration

[00:04:07] [SPEAKER_02]: That ended up in a happy ending

[00:04:09] [SPEAKER_02]: But now you're leveraging your experience right to make that really kind of very challenging

[00:04:15] [SPEAKER_02]: Experience for many people in the health system easier and not to mention the physicians

[00:04:20] [SPEAKER_02]: Right that are burned out and suffering from this

[00:04:23] [SPEAKER_02]: Love it brother. And by the way, hey, my brother is actually at e y he's doing data analytics at e y

[00:04:28] [SPEAKER_02]: Really?

[00:04:29] [SPEAKER_02]: Yeah, I've read it to him

[00:04:31] [SPEAKER_02]: I love that man. Well, look talk to us about your company, you know, this is a great opportunity to really

[00:04:38] [SPEAKER_02]: Tell us more about deep scribe oftentimes. It's stuff that maybe you feel people already know

[00:04:44] [SPEAKER_02]: Maybe we don't so help us understand more about you guys and how you add value to the ecosystem

[00:04:49] [SPEAKER_02]: Yeah

[00:04:49] [SPEAKER_00]: So the basic premise of deep scribe is we essentially record natural patient physician encounter

[00:04:57] [SPEAKER_00]: And we use ai to identify all the clinically relevant information and summarize that information into

[00:05:04] [SPEAKER_00]: A clinical note that the physician would have otherwise written

[00:05:07] [SPEAKER_00]: And that in turn saves physicians a tremendous amount of time

[00:05:11] [SPEAKER_00]: We were able to save physicians up to 80 percent of their time documenting

[00:05:16] [SPEAKER_00]: But I think one unique thing that I I'd like to share is a lot of people think that the problem that we're solving is just

[00:05:23] [SPEAKER_00]: clinical documentation and it's just burnout and

[00:05:27] [SPEAKER_00]: I think the perspective that we have at deep scribe around the problem resolving is unique in the sense that

[00:05:31] [SPEAKER_00]: We believe most of the value that we're going to create in this market

[00:05:35] [SPEAKER_00]: It's not really in improving the quality of life for physicians

[00:05:38] [SPEAKER_00]: But it's in taking all the data that is being harvested in these conversations

[00:05:43] [SPEAKER_00]: And using that to actually build functionality to improve patient care

[00:05:48] [SPEAKER_00]: So one of the key insights that aaklesh and I had when we started this company

[00:05:52] [SPEAKER_00]: Was you know, we would listen to these patient conversations that were filled with so much life

[00:05:58] [SPEAKER_00]: And filled with so much color and then we would read these notes that these physicians are writing

[00:06:02] [SPEAKER_00]: And all that detail all that color all that patient narrative was lost

[00:06:08] [SPEAKER_00]: And not only was it lost it was kind of put into an e h r that was very inaccessible

[00:06:14] [SPEAKER_00]: And it was unstructured data that was not primed for modern day machine learning applications

[00:06:20] [SPEAKER_00]: So we kind of looked at this as an existential risk in health care

[00:06:24] [SPEAKER_00]: In that we won't be able to achieve the full potential of ai and medicine

[00:06:28] [SPEAKER_00]: If we were continuing to rely on these busy burnt out physicians to harvest all this clinical information

[00:06:35] [SPEAKER_00]: so that insight led us to really be

[00:06:38] [SPEAKER_00]: Thoughtful about how we're labeling all the data that is going through our service

[00:06:43] [SPEAKER_00]: And today, you know, we're actually using that data to provide additional functionality on top of documentation

[00:06:49] [SPEAKER_00]: So some examples of this is you know using that data to identify participants for clinical trials

[00:06:55] [SPEAKER_00]: Using that data to help with the clinical

[00:06:58] [SPEAKER_00]: Coding and the billing side of the house

[00:07:00] [SPEAKER_00]: Using that data to even run kind of sentiment analysis or doing you know work with local biomarkers

[00:07:08] [SPEAKER_00]: With that data so to summarize like what we're doing is not just automating clinical documentation

[00:07:14] [SPEAKER_00]: We're trying to build this new foundational kind of data set for for health care that we believe will truly unlock

[00:07:21] [SPEAKER_02]: Kind of the full potential of ai that's great. Yeah, it's a lot bigger than just documentation

[00:07:27] [SPEAKER_02]: There's so many things that happen in that conversation. So are you guys doing ref cycle too now?

[00:07:31] [SPEAKER_00]: So we have components of ref cycle where we're able to you know, basically code the entire note

[00:07:37] [SPEAKER_00]: There's more that we want to do in terms of the clinical workflow

[00:07:40] [SPEAKER_00]: So one of the features that we have that we launched with one of our health system partners is called hcc assist

[00:07:46] [SPEAKER_00]: So that's basically we're able to pull the problem list from that patient identify all the hcc's that need to be

[00:07:52] [SPEAKER_00]: recapture and also suspected this hcc's that we suspect that can be captured

[00:07:58] [SPEAKER_00]: And then we're able to use that conversation to evaluate the conversation or the care that was delivered against me criteria

[00:08:05] [SPEAKER_00]: And that gives the physician the ability to look, you know

[00:08:09] [SPEAKER_00]: Have I actually

[00:08:10] [SPEAKER_00]: Compliantly captured these hcc's and what we found is that with just that simple workflow

[00:08:15] [SPEAKER_00]: We've been able to improve hcc recaptured by over double digits and look just because this is health care and

[00:08:22] [SPEAKER_02]: And I love this example level set on hcc. What is the acronym for?

[00:08:27] [SPEAKER_00]: The acronym is called a hierarchical condition like coding. I believe okay hcc

[00:08:32] [SPEAKER_00]: hcc yeah, so

[00:08:34] [SPEAKER_00]: Hcc's are essentially

[00:08:36] [SPEAKER_00]: essential to value-based medicine

[00:08:39] [SPEAKER_00]: So it identifies kind of the chronic conditions that a patient has and it determines basically the risk factor for these patients

[00:08:47] [SPEAKER_00]: Got old when you think about value-based care hcc's are critical in terms of

[00:08:52] [SPEAKER_00]: Determining, you know, what is the actual true cost of care for that patient?

[00:08:56] [SPEAKER_00]: and you know the health organizations are

[00:08:59] [SPEAKER_00]: It's incentivized to reduce that total cost of care depending on the risk factor of that patient

[00:09:03] [SPEAKER_02]: That's so helpful, man. I'm glad I asked you that because I mean it's such a valuable

[00:09:08] [SPEAKER_02]: I mean it's such a valuable use case

[00:09:11] [SPEAKER_02]: So like let's unpack that a little bit

[00:09:13] [SPEAKER_02]: I do want to unpack that to really kind of help the value shine

[00:09:16] [SPEAKER_02]: We're talking about

[00:09:18] [SPEAKER_02]: A patient comes in. I mean is it a Medicare Advantage patient? Is it any patient? Are we talking about acos?

[00:09:25] [SPEAKER_00]: Like help us really frame this out. Yeah, I would say ma lives are probably

[00:09:29] [SPEAKER_00]: The main use case that it's being used in today

[00:09:31] [SPEAKER_00]: right so say a patient comes in and

[00:09:34] [SPEAKER_00]: Before the physician actually sees the patient they would actually look at our app

[00:09:39] [SPEAKER_00]: That would actually highlight the accs that need to be recaptured

[00:09:43] [SPEAKER_00]: So a good example of this is you know, say a patient comes in for a shoulder injury

[00:09:47] [SPEAKER_00]: But they actually have you know diabetic neuropathy

[00:09:50] [SPEAKER_00]: And if you didn't know that you would only treat the shoulder injury

[00:09:54] [SPEAKER_00]: Yeah, I mean you would miss your opportunity to be able to recapture and

[00:09:58] [SPEAKER_00]: You know monetary value-assess of treat some of the chronic conditions that the patient has

[00:10:03] [SPEAKER_00]: So using this feature we're able to kind of remind the physician about you know

[00:10:08] [SPEAKER_00]: The more holistic kind of perspective on that patient and then also help them make sure that

[00:10:12] [SPEAKER_00]: The care that they're providing allows them to comply lead capture those codes and get reimbursed for the services that they're rendering

[00:10:20] [SPEAKER_02]: That's huge and one last question here matt. Can you apply your algorithm?

[00:10:26] [SPEAKER_02]: On say just previous data that wasn't initially captured through your system

[00:10:31] [SPEAKER_02]: Could you clarify that so you mean? Yeah, so basically the question behind the question is

[00:10:35] [SPEAKER_02]: All right, somebody just came in from another health system

[00:10:38] [SPEAKER_02]: And maybe we have access to their old EMR records or EHR records

[00:10:42] [SPEAKER_02]: Can we digest their previous stuff and then help provide like a decision support for the provider or no?

[00:10:49] [SPEAKER_00]: So that's actually a really good question. It's not something that we do today, right?

[00:10:53] [SPEAKER_00]: But it's something that we do kind of in theory

[00:10:55] [SPEAKER_00]: So one of the things that our models does that is unique is we're actually able to read the EHR to make our models contextually aware

[00:11:03] [SPEAKER_00]: So, you know, you can actually take that information and help guide the model to determine what's clinically relevant for that specific patient

[00:11:10] [SPEAKER_00]: Today, we don't integrate with like an hie

[00:11:14] [SPEAKER_00]: That is able to pull kind of disparate records from that patient from other health systems from other EHRs

[00:11:19] [SPEAKER_00]: And use that as context for our model

[00:11:21] [SPEAKER_00]: But you're kind of reading off our product roadmap right now. Very cool, man. Very cool. I love it

[00:11:26] [SPEAKER_02]: Yeah, no, I mean this stuff is so promising and you really touched on a very high value piece here

[00:11:31] [SPEAKER_02]: It's sort of value-based scribing here that we're talking about

[00:11:36] [SPEAKER_00]: Yeah

[00:11:37] [SPEAKER_00]: It's just one it's a tiny sliver of all the amazing use cases

[00:11:42] [SPEAKER_00]: For this technology my perspective

[00:11:45] [SPEAKER_00]: And this is kind of a hot take is that in the next three to five years

[00:11:48] [SPEAKER_00]: I believe that 90 percent of patient conversations are going to be recorded

[00:11:51] [SPEAKER_00]: And I think the question that we really need to start to interrogate

[00:11:55] [SPEAKER_00]: Is what does care look like in that world?

[00:11:58] [SPEAKER_00]: What kind of data is available to us that can actually help us improve the care that we deliver to patients?

[00:12:04] [SPEAKER_00]: And so I think these use cases that we've developed with all of our health system partners

[00:12:08] [SPEAKER_00]: Are just little glimpses into the reality that we can be living into so great. Yeah, I love your vision

[00:12:13] [SPEAKER_02]: I definitely see it going that way too and I remember like

[00:12:18] [SPEAKER_02]: Man, I remember it must have been like seven years ago where these were just ideas, right?

[00:12:24] [SPEAKER_02]: Like people were thinking about doing it and now it's like fast track making it happen

[00:12:29] [SPEAKER_02]: So you guys were early on talk to us about

[00:12:33] [SPEAKER_02]: Differentiating in an ever more noisy environment of these types of technologies. How do you guys stand out?

[00:12:40] [SPEAKER_00]: That's a great question. You know, I feel like every other day I get a ping from somebody saying have you heard of this company?

[00:12:46] [SPEAKER_00]: Have you heard of this company?

[00:12:48] [SPEAKER_00]: You know, and I do think that after the advent of lms

[00:12:51] [SPEAKER_00]: It's really enabled innovators to build kind of products in our space

[00:12:56] [SPEAKER_00]: What I will say is that being able to produce a demo of something

[00:13:01] [SPEAKER_00]: Is very different than being able to produce a product

[00:13:04] [SPEAKER_00]: And one of the things that we've learned and I can kind of I could show you the scars on my back to prove it

[00:13:10] [SPEAKER_00]: Is like all these little

[00:13:11] [SPEAKER_00]: Things that you don't think are important that end up becoming the difference between a cool demo and a battle tested product

[00:13:20] [SPEAKER_00]: So one example of this that I think we kind of lead the industry with is our ability to customize our notes

[00:13:26] [SPEAKER_00]: So one of the key lessons that we've learned very early on was

[00:13:30] [SPEAKER_00]: Physicians and clinicians really view

[00:13:33] [SPEAKER_00]: Themselves as artisans and they view the notes that they're writing as a reflection of their own competency

[00:13:40] [SPEAKER_00]: And so if the note doesn't look feel sound

[00:13:45] [SPEAKER_00]: Exactly like

[00:13:46] [SPEAKER_00]: Them even if it's 100 clinically accurate, they're going to spend a lot of time editing that note

[00:13:52] [SPEAKER_00]: And you know in a business where your value proposition is time savings

[00:13:55] [SPEAKER_00]: That is just eating away at the value that we're delivering

[00:13:58] [SPEAKER_00]: So we had to really figure out how do we accommodate for all these personal preferences of these clinicians and really meet them where they are

[00:14:06] [SPEAKER_00]: And so what we've done is we've kind of taken the learnings from the thousands of the

[00:14:11] [SPEAKER_00]: Deployments that we've done and we productize that into what we call our customization studio

[00:14:16] [SPEAKER_00]: So our customization studio allows physicians

[00:14:19] [SPEAKER_00]: To be able to make preferences into their model for simple things such as you know

[00:14:24] [SPEAKER_00]: I want to refer to the patient with these pronouns or by their first name

[00:14:29] [SPEAKER_00]: To more sophisticated

[00:14:31] [SPEAKER_00]: Customizations like I want to write my history present illness in pros

[00:14:35] [SPEAKER_00]: But I want my plan in bullets and I wanted my plan to be organized by problem

[00:14:39] [SPEAKER_00]: And so all these little customizations

[00:14:42] [SPEAKER_00]: We have over 50 different ways that you can customize your notes

[00:14:44] [SPEAKER_00]: Have really been the difference between getting 30 clinical adoption of your tool to what we are able to achieve

[00:14:51] [SPEAKER_00]: Which is around 80 clinical adoption screen or intercarousel?

[00:14:55] [SPEAKER_02]: That's great. That's huge and a big insight in this space

[00:14:58] [SPEAKER_02]: I've heard you know, I've had conversations with clinicians and they've said the importance of their note like it's a very personal thing

[00:15:06] [SPEAKER_00]: Yeah, and like I said, it's a reflection of their own competency, right because they're sending that note to their patient

[00:15:10] [SPEAKER_00]: They're sending that note to the physicians that they're referring

[00:15:13] [SPEAKER_00]: And they need it to sound like something that sounds like them

[00:15:17] [SPEAKER_00]: Totally. I love that

[00:15:18] [SPEAKER_02]: So yeah, Matt, you know in any conversation in healthcare entrepreneurship

[00:15:23] [SPEAKER_02]: Like you really have to ask the question about biggest setbacks. It's hard, right? It's a hard business to innovate in

[00:15:30] [SPEAKER_02]: It's a hard business to monetize

[00:15:31] [SPEAKER_02]: What's been one of your biggest setbacks and you know, what's been a big lesson that's come out of it?

[00:15:37] [SPEAKER_02]: How much time do we have?

[00:15:40] [SPEAKER_00]: You know, obviously

[00:15:41] [SPEAKER_00]: As a founder, you know, your job is to will things into existence

[00:15:45] [SPEAKER_00]: And when you're at the very beginning not a lot of people really understand

[00:15:50] [SPEAKER_00]: You know your vision and so it was the same for us, right?

[00:15:54] [SPEAKER_00]: Everyone thought that we were just building dictation for the first three years of our business

[00:15:57] [SPEAKER_00]: but you know, if I were to

[00:16:00] [SPEAKER_00]: Really kind of think about one major setback that we've really kind of came back from

[00:16:04] [SPEAKER_00]: I think it would be the customizations, right? So very early on like we would produce a note that was 100

[00:16:10] [SPEAKER_00]: percent clinically accurate and then we would get feedback that our product sucks

[00:16:15] [SPEAKER_00]: And you know as non clinicians building a product for clinicians

[00:16:20] [SPEAKER_00]: It was really hard to understand this especially as data scientists. We believe that there's an answer and what we've

[00:16:27] [SPEAKER_00]: Really had to wrap our minds around is that it may not be a single answer

[00:16:33] [SPEAKER_00]: And we have to build a system that's elastic enough to meet all of our different users

[00:16:40] [SPEAKER_00]: Where they're at and so that's really stuck with us

[00:16:43] [SPEAKER_00]: Throughout the seven years that we've run this business and in our design thinking of you know

[00:16:48] [SPEAKER_00]: We always have to listen to the users, right? Like as much as we have a people into the future and where we want to take this technology

[00:16:56] [SPEAKER_00]: There are people that are using your product that need to solve problems today

[00:17:00] [SPEAKER_00]: And so you need to strike that balance between looking too far ahead

[00:17:05] [SPEAKER_00]: And ignoring the problems that they're facing today

[00:17:07] [SPEAKER_00]: Versus only so focusing on what's in front of you and not really preparing yourself for the future

[00:17:13] [SPEAKER_02]: Yeah, really well said and great example matt something that we all need to be thinking about like if somebody has

[00:17:21] [SPEAKER_02]: a broken

[00:17:22] [SPEAKER_02]: Water heater like you can't talk to them about redoing their staircase like they need that water heater fixed, right?

[00:17:30] [SPEAKER_02]: And you just got to listen and that's such a great reminder for all of us folks like

[00:17:35] [SPEAKER_02]: Listen and spend extra time listening to what our customers need

[00:17:41] [SPEAKER_02]: At the end of the day like matt said this is so insightful

[00:17:44] [SPEAKER_02]: If there's a problem that needs to be fixed now it needs to be fixed now

[00:17:47] [SPEAKER_02]: And if you could hone into that like the note

[00:17:51] [SPEAKER_02]: personalization

[00:17:52] [SPEAKER_02]: Uh example that matt brought to us you're going to hit home runs

[00:17:55] [SPEAKER_02]: I love that matt really appreciate you sharing that win and and sort of the insight

[00:17:59] [SPEAKER_02]: That's become a core feature of the platform. Look, there's so many opportunities to keep going

[00:18:05] [SPEAKER_02]: Fortunately, we only have so much time. So look really all of this in I want to say this has been a really

[00:18:10] [SPEAKER_02]: Fun discussion. What do you want to leave us with? What call the action would you leave to the listeners and

[00:18:16] [SPEAKER_02]: What's the best place they could reach out to you to learn more about you and to learn more about deep scribe?

[00:18:22] [SPEAKER_00]: Yeah, you know one of the things that I've been thinking about a lot recently

[00:18:26] [SPEAKER_00]: Is one of the things that one of our board members said to us

[00:18:29] [SPEAKER_00]: And what he said was you know, what got you here is not going to get you there

[00:18:33] [SPEAKER_00]: And I think in healthcare it's so important for us to remind ourselves of that because

[00:18:38] [SPEAKER_00]: healthcare is such an institutionalized industry and I think everybody knows that we're the furthest

[00:18:45] [SPEAKER_00]: behind in terms of technology adoption

[00:18:48] [SPEAKER_00]: And at the same time everyone knows about all the existential risks that we have in healthcare with respect to outcomes

[00:18:55] [SPEAKER_00]: respects the staffing shortages

[00:18:57] [SPEAKER_00]: medical errors

[00:18:59] [SPEAKER_00]: All these problems that healthcare is plagued with and so we really need to have a fresh perspective

[00:19:05] [SPEAKER_00]: On how we're going to solve these problems and be open to new ideas

[00:19:09] [SPEAKER_00]: So as an innovator it's important to never lose that spark

[00:19:13] [SPEAKER_00]: Believe in yourself that you can will things into existence

[00:19:16] [SPEAKER_00]: And you know the world is not going to be the same if you keep pounding it on the head with a hammer

[00:19:26] [SPEAKER_00]: So I think that's what I would like to leave kind of the audience with in terms of where to find us

[00:19:31] [SPEAKER_00]: Our website is deep scribe.ai

[00:19:34] [SPEAKER_00]: You can learn everything about our company there

[00:19:36] [SPEAKER_00]: You can always shoot me an email and my email is matt at deep scribe.ai

[00:19:40] [SPEAKER_00]: And i'm always happy to chat so

[00:19:42] [SPEAKER_02]: amazing

[00:19:43] [SPEAKER_02]: Matt really really want to say thank you for

[00:19:46] [SPEAKER_02]: What you do in this business because it's very much needed kudos to you and your team for building what you have

[00:19:52] [SPEAKER_02]: Early in the game before it was actually a thing before llms showed up

[00:19:56] [SPEAKER_02]: So you guys are have literally paved the way of possibility so kudos to you and your team

[00:20:01] [SPEAKER_02]: Thanks for jumping on with us and folks all the things that we talk about are available in the show notes

[00:20:06] [SPEAKER_02]: So we'll have a short summary of our discussion with matt co

[00:20:11] [SPEAKER_02]: He is an outstanding leader co-founder and president chief operating officer of deep scribe

[00:20:18] [SPEAKER_02]: It's an ai platform that automates your medical documentation. You got to check them out now is the time

[00:20:23] [SPEAKER_02]: So make sure you check those out take action

[00:20:27] [SPEAKER_02]: And do something about what you heard today if it inspired you matt. Appreciate you being with us. Thank you so