Welcome to V10: What's new, what's next, and how to think about AI in your practice

[00:00:00]Welcome everyone and thank you so much for joining us today. My name is Marla Ranieri and I'm the head of clinical innovation and clinical strategy at Prompt Health and we're really excited to introduce you to V10, what's new, what's next, and how to think about AI in your practice. This is going to be a jam-packed session. We'll cover the way we think about the industry and build for it. We'll cover what's already live in Prompt and what's coming next and most importantly how all of this connects back to the outcomes that matter most in your practice, stronger operations, better care, cleaner revenue performance cycle, and sustainable growth. So, just a few housekeeping before we start. We have a lot of registrants here, over a thousand, so we may not get to every question live, but we do have a Q&A button at the bottom.

[00:00:51]We really want you to put all your questions in there. We will try to answer them throughout the session as we go and we will try to answer them at the end. If not, we will absolutely have some of your customer success reps reach out, so please use that Q&A portion below. And yes, we will be recording the session and it will be sent out afterwards via email. And today you're going to be hearing from Mike Thayer and Adam Baliatico, our co-founders of Prompt, as well as Pedro Texeira, our VP of engineering. So, before we jump in, we'd love to get a sense of who's here and who's in the room. You're going to see a poll pop up on your screen and we just want to know, are you new to Prompt or are you already a customer? And if you could take a moment to fill that out, that would be great. We do want to make sure we are really gearing this presentation to you and hearing from you throughout, so you're going to see a couple polls with that.

[00:01:47]And now I'm going to hand it over to Mike. He's going to go ahead and frame how we got here and why V10 is such an important step forward for Prompt.

[00:01:57]>> Thank you, Marla. I can't believe that we had 1,000 registrants. I not too long ago it felt like we had 10 begging people to, you know, hop on. So, I know there's a lot of people eager about what we're building, and I'm excited to get into it.

[00:02:12]I just want to quickly frame how we've approached building Prompt historically to date.

[00:02:18]Before we wrote a line of code, we learned that for practices to be as successful as possible, you have to keep schedules full.

[00:02:28]You need to keep therapists in seat patient facing delivering care, and not bogged down administratively.

[00:02:36]And you need to drive your administrative costs and your RCM costs as low as possible to improve margin and make room for the clinic to really grow and thrive.

[00:02:46]We believed, Adam and I, from the start of Prompt, that if we built intentionally, we could be wildly successful at helping you drive the outcomes that we intended from the first place.

[00:02:58]Keeping schedules full, keeping therapists in seat, and helping you have margin.

[00:03:04]If we nailed the foundation, the chassis of the whole platform, where we touch everything, where we capture data thoughtfully, we could enable a system that could complete more work on your behalf and better inform the work that could not be fully automated.

[00:03:22]That is what we've been doing for the past 8 years. And with recent innovation in tech, version 10 is the biggest step forward for us in helping you in more ways.

[00:03:33]So, what does putting Prompt to work mean in practice?

[00:03:38]It means developing a system of action.

[00:03:42]A system of action from our perspective identifies and understands a problem or opportunity that's coming up in the practice, recommends what should be the next step in that journey, and then executes or automates that action for you with the guardrails and reporting to make sure it's hitting the intended objective from the start.

[00:04:07]Let's make this tangible in terms of just an example.

[00:04:12]Imagine patient drop-off is starting at one of your clinics, and we all of a sudden see a sudden spike in that.

[00:04:20]Historically, someone had to notice that.

[00:04:23]They had to investigate why that is happening.

[00:04:27]They had to decide what to do about it, and then execute that plan.

[00:04:32]All along the way making sure that that plan is being executed a month out from now.

[00:04:37]There is a lot of manual effort in that process, and the outcome of that depends heavily on who is identifying that and who is carrying it out going forward.

[00:04:48]A system of action that we're building towards is it it it just works differently.

[00:04:54]It identifies the issue early. It understands the causes and patterns because it's seen it before, and recommends the highest probability intervention to solve that issue.

[00:05:06]And hopefully all doing this automatically.

[00:05:09]One of the biggest advantages we have in our seed after being in this for 8-plus years is we have visibility across thousands of offices around the country, millions of patient interactions, and the entire patient journey from them starting in your practice to the last bill.

[00:05:26]We're able to see patterns and see the interventions that lead to successful outcomes, but also what can also lead to a negative outcome.

[00:05:35]And this allows us to essentially build intelligence into the platform, not based on theory or hypothetical, but based on what's happening in the real world, in your region, in your state.

[00:05:49]Tech is obviously a giant component of what we're trying to build here, but we're also trying to be not just your tech partner, but your true business partner in the practice.

[00:06:00]And something I'm most proud of in our company is customer success makes up half our team.

[00:06:07]We have clinicians, we have billers, we have practice owners, and their sole role is to help you get the value that we're pitching on these webinars, that we're pitching you, you know, in every interaction we have.

[00:06:20]We've also launched a few free services that purely cannot be solved by technology. So, please make sure you're taking advantage of Career Connection.

[00:06:31]Everyone in this call is hiring.

[00:06:34]The goal of Career Connection is to help you get more resumes to keep your clinic full and growing.

[00:06:40]Our student placement initiative, connecting with schools, essentially so that, you know, clinicians can have rotations in your offices, and we've seen in practice that it has been one of the best hiring funnels for groups.

[00:06:54]And then our executive business reviews, this is something we're trying to do at least quarterly with our groups, but where we pull data on your behalf and come into these calls with actionable insights on how we can move the business forward.

[00:07:09]When the business reviews essentially surface something bigger, it enables our team to go deeper with you and solve deeper problems.

[00:07:17]We offer business coaching as well on growth, hiring, and margin decisions that tech alone cannot solve.

[00:07:24]We're trying Our North Star prompt and our entire mission is to drive extraordinary outcomes for health care businesses and their patients.

[00:07:32]We're not trying to be just a tech vendor, we're trying to build solutions around every business problem you're having.

[00:07:41]>> Thanks, Mike. That was a great way to set the stage and really beneficial to hear about what we're doing outside the industry tech-wise and inside the industry. And as we said, there's a lot to unpack and we have a lot to present today. So, you're going to see another poll pop up, which is going to ask you which one of Prompt Solutions are you most interested in hearing about. So, please indicate that in here. Again, we really want this presentation for all of you and we want to tailor it to you. So, let us know what you're most excited to hear about and learn more.

[00:08:13]And I know that notoriously AI has continued to be a hot topic. People have started to jump into AI not understanding fully what it is or where it's leading us. So, that's going to be a perfect one to segue to right now.

[00:08:28]There are no better people in the industry than Pedro and Adam to talk about this. So, I'm going to go ahead and give it over to you guys to talk about AI and what we're doing and what what AI truly means to Prompt.

[00:08:46]>> Awesome. Thanks. Thanks Marla. I think you know, some of the points that Mike made um are really worth hitting home on. But, you know, we've been doing this now for almost a decade, which is crazy.

[00:08:57]We started in college, but we've also been doing it like solely focused on PT, OT, and speech. And I think what that really means is we've gained a ton of data and expertise in in how those businesses run and we've also built the data model to perfectly support those businesses. You can't actually shortcut building a great data model and you you have to solve from the moment a patient finds your clinic till the very last bill is paid and everything in between.

[00:09:28]Cuz if you're missing data or you have garbage data, you know, you can't build great automation. You can't build great AI.

[00:09:36]Um I think the other thing is also that, you know, the length of time we've been in the industry and how much we value security and compliance. Um, you know, we're 100% US-based. We go above and beyond to make sure that your data is safe and um, I think a lot of the companies starting up today, they they either use a ton of offshore labor or maybe they're a little more fast and loose um, when it comes to compliance and security. And I just, you know, remind everyone and in healthcare, the penalties for being fast and loose with your compliance and security are are astronomical and I I think it's a big risk in the industry right now is that there's, you know, one of the great things of AI is it's so easy to start to start a software company, but it also means that some people that might not be in it for the right reasons or they take shortcuts.

[00:10:20]Um, you know, and they just think about, oh, we can build this fancy thing that seems great, but they don't do all the other work that is really required to protect, um, you know, healthcare data and how important this data is both to you as the practice owner and to the patient um, who really owns the data as well.

[00:10:39]Um, so, I think Pedro, if you have anything to kind of add there maybe about how we think about AI and how we're approaching, you know, both AI and automation, it'd be great to kind of touch on that.

[00:10:49]>> Yeah, happy to.

[00:10:51]So, I think one of the nice things is Prompt, you know, built as system of action, right? And action, why do you take action? It's to get results. And so, I've been doing this now for Well, I actually coded uh, some of my first uh, machine learning models back in 2009. Uh, and clinically trained, uh, went through a whole research phase, um, got a PhD. I guess it's a little bit more than a pace. Um, but you have to in that complicated environment track the data. You have to be really rigorous in what you're doing to actually get real results. And I think the best way to cut through the noise is if you're taking action and getting results cuz you can say a lot of things and you can make a demo or a prototype really easily, but then actually getting to the point where you're getting real results is hard. And at this point, Sidekick, Insight, all these different AI models that we've built over all these years have handled and helped with over 100 million visits.

[00:11:44]Uh and I think the the results then kind of speak for themselves, right? We get results. And so, when you're working with a partner, it's nice to see, do you actually get results? And I think that's a key question everybody should ask is like, how you how do you know this works? How do you get results? And we work very hard to be rigorous so that, you know, step one, step two, make a prototype, you know, looks easy. But, then you know, at step 10, how did you get there?

[00:12:04]How did you track it? Can you see? We have a lot of analytics. You can see Sidekick usage, for example. You can see how people are getting their results.

[00:12:11]You can drill down, you know, when we give you a compliance score to see what's driving that compliance score.

[00:12:17]And one, because we had to track things to be able to make sure that we made AI that works and works at scale. Uh but, also because if you don't understand how things work and how you got a certain result, um you know, where where the the system's going, you know, perhaps uh to be a little bit sub-optimal, needs to be improved, right? That's how you get to the really high-quality thing is to be rigorous, to have analytics, and to work with somebody who will show you, like, you know, here, this node is the one that we thought, you know, maybe could be improved and why. Here's the part of your score uh to improve.

[00:12:45]Um and here's the Sidekick result, right?

[00:12:47]So, as folks are or thinking through different parts uh and evaluating what they want to do, I just really want to point that out cuz again, it's easy to do a pretty prototype or pretty demo, but actually getting something that works in a very uh high complexity environment of health care, I think that's really hard. And you want to have that data. You want to have a partner with experience there where they've been building uh over many years on things that compound from the clean organized data foundation that we saw when we were actually meeting you all many, many years ago and we were impressed by uh all the way to now.

[00:13:18]We're going to build in and integrate that AI and now can attack things like scheduling, patient flow, RCM, you you in addition to the clinician workflows that, you know, back when we had the prediction health days that we were so familiar with. So, results are key and I think at the end of the day, that's the thing that cuts through the noise.

[00:13:37]>> Yeah, I think putting some of the results up on the screen. Um, I mean, importantly, we're not going to sit here and tell you all of the results are from AI. Like I I think any company that comes there and says, "Hey, we're driving all of these results with AI."

[00:13:50]Like that's just not true. Um, a lot of this results are built through developing expertise in the problem, working with our clients, and saying, "How do we best solve this problem?" Um, sometimes AI is a great tool to solve a problem. Like I mean, think about clinical documentation and converting a bunch of text into structured fields to populate a note. Like needs AI. But solving plan of care compliance and reducing patient churn, like I mean, we've been doing this since 2019 and they're, you know, we've made the things marginally better with some AI, but they existed for years and delivered great results um without AI. So, also, you know, a cause of skepticism when companies say, "Hey, we're solving all these problems with AI." Like I mean, I would ask to see those results and and see them across more than a sample size of one or a sample size of 10. Like for us, you know, we're really proud of this data. Our job, like Mike said, is to be a true business partner and and, you know, for patients, I think, you know, again, Mike and I started this as patients, but, you know, we've seen across our entire customer base on average a 20% improvement in plan of care adherence. You know, what does that look like? It's, you know, an increase in revenue for the practice while delivering better clinical outcomes. You can see the patient NPS of plus 93. You know, schedules are running at 92% full.

[00:15:08]You'd think, "Oh, my provider churn's going to go up cuz they're busier." But, you know, what you actually see is we have 35% lower provider attrition and 75% less required documentation time even though the therapists are doing more notes. Um so, you know, we're really proud of these results and just looking to continue to drive them um forward every day so that, you know, clinicians, billers, admins, patients, and owners, like those are our five users. They use our software every day and we need to keep optimizing the outcomes for each of those users, minimize the amount of time they spend in our system, and maximize the clinical and and business outcomes that can be driven um in partnership with our clients.

[00:15:48]>> And that was a great point, Pedro, that you made earlier about that it we're becoming a true system of actions for practices and that the data and the results are really what should help steer you and inspire you to utilize AI and and good AI looking at the difference between the two and how can AI really help your practice? It needs to deliver ROI. It needs to deliver results. So, that's a great way to look at it is through what has been happening so far in the past and we're not done yet, as you know, we just released a ton of new features. So, that's I'm sure you're all excited for the meat and potatoes of what we're going to present today. So, before we do that, one more poll asking you what you're most interested to see today in these next few slides. Um, and of course, we are going to jump right into that and tell you about what's live, what's actually out, not just theoretical, what has been released. Many of you have seen it probably in your Prompt University, but there's so much we want to really walk through a lot of this with you and then go ahead and make sure we continue to tell you about what's coming next.

[00:16:55]So, with that, I'll pass it along back to you, Adam. Tell us a little bit about what's live.

[00:17:02]>> Awesome. Thanks, Marla. I think um the first main feature we've launched was actually in our uh clinical sidekick uh about a month or two ago. We launched our objective data insertion.

[00:17:14]Um, so, what does that mean?

[00:17:15]Historically, when the therapist would talk to Sidekick, um, all the objective data would populate into one free text box. And, you know, that's great and it saves time, but, you know, ultimately, one of the reasons we built all the structured data was because the therapist liked having all of that range of motion, strength, special test data in the actual fields. And now, as you can see in the, you know, the GIF below, like with one click, all of that data populates those structured fields. And, you know, as we start thinking about prompt outcomes, what does that mean?

[00:17:44]Well, that means you're going to get graphing about their progress on these metrics. It means you're going to be able to produce reports that say, "Hey, here's where you were as a patient at the start, and here's where you are at the end." So, this has been a great feature. Um, I think we've rolled it out, Pedro, maybe to half the Sidekick users now, and and the rest of them will be, you know, rolled out pretty shortly as well.

[00:18:03]>> I know we have well over a thousand people already using this every week.

[00:18:07]Uh, and they've got given us really rave reviews. I know this was a a classic request we would get for, uh, for folks.

[00:18:13]They wanted it. It's obviously a lot of clicks and things. It's a great area for Sidekick, and it was one of the, um, key items we were super excited to get to build right into Prophet.

[00:18:22]>> Yeah. And maybe you could talk now about the, uh, the Ask AI, um, my clinical Ask AI as as well.

[00:18:29]>> Yeah, of course. Um, so, uh, again, we like to, uh, meet folks where they are and and deliver value. The structured objective data was a great example. And then, Ask AI is another, uh, really, really great one. So, um, in the case that you've just done a visit with Sidekick, or even if you haven't done a recording yet, we have Ask AI, and it's available in mobile, which we'll get to in a minute, but also available in your classic little Sidekick widget. So, when you click to open it, you'll see that Ask AI, uh, button off to the side. And we've heard some of the folks' favorite use cases, asking for things like draft my letter of medical necessity, right? Help me with a work excuse letter. But, it also's able to see, uh, the information about the conversation that you've been having with the patient, or the note content that you already have on the screen.

[00:19:10]Though, were like looking for gaps, you know, did I have any red flag symptoms I should ask for? Some newer therapists like to sort of like double check the things there. Going all the way to things like, hey, you know, give me some feedback on my conversation with the patient. Were there some topics maybe I could have visited from like a forming rapport perspective. Again, useful for new grads. Or, you know, for the the more experienced folks, really pushing the boundaries, using it as a brainstorming tool. The ask AI also really really great exciting thing. If you're on desktop, there's also genius mode that you can toggle on, which will increase sort of the the horsepower, if you will, so you can ask even more complicated questions of it.

[00:19:48]Again, with visibility into that patient that's currently pulled up.

[00:19:54]We also Oh.

[00:19:56]>> I can take the next one.

[00:19:58]>> All yours.

[00:19:58]>> So, one of the big features we released recently, we've seen a huge rise in like MSOs and multi-brand PT companies. And historically, a lot of times those groups would have to run across multiple instances of an EMR because they wanted to keep, you know, brand one separate from brand two, separate from brand three. And so, you know, we set out to build a solution that would say, hey, we can still run our business from one instance, which for the executive team and the leadership team is great because I have one set of reports, one set of templates, you know, one set of rules.

[00:20:30]But, each brand and each brand employee would only see, you know, their brand's data. And the patients in that brand would only see that brand when they go schedule online or or whatnot. So, this was a big a big enhancement for, you know, enterprise teams that have multiple brands and and want to keep that data separate but still operate from a single instance for all of the the aforementioned reasons.

[00:20:52]And then another big, you know, shift, and this has really been, you know, as payer behavior has changed.

[00:20:59]Um, if we go to the next slide.

[00:21:01]Um, you know, unit-based authorizations. You know, historically, authorizations were visit-based. You know, I'm going to approve 12 visits for the next 60 days and you know, we built a whole tracking system around how to you know, make sure we're getting those authorizations, but now a lot of payers are doing unit-based authorizations where you know, they may approve you know, 12 units of 97110 and 10 units of 97530 and and so on and so forth and we actually built an entire tracking system to say, "Hey, here's how many units you have left of each CPT code." And instead of having to deal with this once it's a problem and once you actually get denials, we're able to now surface that information in real time to both the therapist and the authorization team and say, "Hey, here's what you have left." You know, still treat whatever your clinical judgment is, but it'll flag our off team to say, "Hey, we need another off cuz we're running out of 97110 and we know we're going to do more therex." So, this was a really robust complicated build and we launched this recently and for you know, a lot of these newer payers that are just trying to find ways to be difficult, uh this was one of the ways that they were able to make things difficult and this really been a big step forward um especially in the pediatric and Medicaid settings um where there's a lot of this and it's really prevalent.

[00:22:22]Um and then another one of the big features we've upgraded recently. Um we actually rolled out our AI intake platform about a year ago, maybe 18 months ago. Um you know, and it's it's actually now a patented solution, but it's the only intake platform on the market that is intelligent and it's not just saying, you know, here's my set of questions or even here's my set of questions and I built basic branching logic. What our AI intake does is based on the information the patient's giving us, it's asking dynamic and intelligent um follow-ups.

[00:22:54]And it what that means is we're getting better clinical information and fewer questions. Better more relevant clinical information and fewer questions and for the therapist if the patient's completed these five to seven kind of AI-powered questions, we can actually draft, you know, 30 to 40% of the eval. We've typically written a subjective. We have their medical history. We drafted an assessment suggesting a few long-term goals and have the entire prior and current level of function already drafted.

[00:23:22]So, that means for the therapist more quality time with the patient and less time kind of reviewing all of this and and writing it into the eval. And then in our most recent release, we did another round of model optimization and also optimized these models for pediatrics as well, which, you know, we're seeing there's such a demand for pediatric therapy right now and it's it's often been underserved and we've been really lucky to work with some phenomenal pediatric teams to continue to improve and optimize the platform so that they can better serve all of the kids that that need therapy.

[00:23:57]>> So, there's other really great exciting requests we've gotten over the years and obviously as a therapist, you may be in a lot of different environments. You can be very very mobile. And one of the requests that we got was, "Hey, you know, like could we have a mobile app?

[00:24:12]Can I record maybe not with my laptop?"

[00:24:14]You don't always have a good place to put the laptop.

[00:24:17]And so, I'm really excited to announce Sidekick Mobile. We again have had many many hundreds of therapists actually using this testing it early alpha and and beta users, which we of course is always appreciate. And we've been able to do a really seamless experience for it. So, for example, as soon as you open it up, you see your schedule for the day right there.

[00:24:38]When you pull up in that visit, it Sidekick Mobile has the context for that case, which leads even better results. And when you come back to your computer, it syncs right back into that patient's visit. So, you don't have to do any copy-pasting or anything. You just turn on the phone, you pick your patient, you can record it on this very mobile, easy-to-use device. Some folks even attach it to a microphone or something else so they can just toss their phone in their pocket. Uh some folks in more quiet environment actually just keep the phone in their pocket and say they they get great audio on it. And then as soon as you're you're done, you hit stop, and when you get back to your computer, the note just shows up right there. So directly underneath the subjective, objective, assessment, plan, uh etc. sections, the results are right there without you having to do anything else.

[00:25:19]And that seamless interaction is again another testament to getting to build something in uh directly as part of the Prompt team. And we love cutting out steps so that you have as few things as possible to worry about so folks can just take care of patients.

[00:25:33]Now, that's on the clinician side. If we go over uh to the billing side, uh we get to expand out to another uh great offering, uh which is uh this is, you know, really uh processed by something called billing uh sidekick. So sidekick's been a I think a godsend, and we've gotten great feedback and testimonials about how much that helps when you're taking care of patients. Uh but then, of course, billers have really hard uh work to do as well. And I like to joke that everybody deserves a sidekick. Uh I love superhero comics and stuff as a kid.

[00:26:04]Well, you know, billers deserve a sidekick, too. And so, whether you're in Prompt or if you go to other spots, maybe you have to go to a portal to fill in information, uh billing sidekick is another really uh exciting tool. Uh with a single click, you can get a lot of information filled out. It's learning more and more all the time. And, you know, eventually, uh you know, the clinician still needs to be part of the visit. But for checking certain information, maybe for submitting prior auth, uh you don't always maybe need to accompany uh your sidekick. And so, future directions uh will include sidekick going off to maybe do some tasks autonomously uh autonomously uh or basically agentically, uh but currently already in workflow and helping some folks out, including our internal team, uh wonderful RCM team members, uh to more rapidly get things done in the very complex environment of billing.

[00:26:57]So, I'll pass it back to Adam for some other really great stuff on our command center and health score.

[00:27:03]>> Yeah, this is one of the things I'm most excited about.

[00:27:06]Last week we started the rollout to beta of our Insight 2.0 platform. And Insight 2.0 is a mix of analytics, our command center, a concept called the health score, and then a business coach, which I'll spend a few minutes talking about. But it's really the combination is a true game-changer, and it goes back to like we have the entire ecosystem of data in Prompt. So, we can do a lot of this analysis. But, you know, historically, honestly, up until Insight 2.0, data was sitting there and it was waiting for you to analyze it. And that's great. Like we have a great data platform, a ton of ways for you to analyze it. But that also requires someone to analyze it. And there's so much data in a PT practice that you could never analyze all of it.

[00:27:48]So, you'd say, "Hey, I want to focus and kind of think about visits this month."

[00:27:51]Or I'm going to focus on plan of care adherence or clinical quality or collections. But, you know, now with Insight 2.0 and the command center, the command center looks at your data every single night, and it says, "Hey, here's how you're doing." That's the health score. You're 84 out of 100. You're in the green zone for, you know, collections. So, actually, we're not going to give you any recommendations about improving collections right now cuz you'd be wasting your time there. But maybe you're having some problems with cancellation rate. You're you're in the 50th percentile on on cancellation rate.

[00:28:22]So, the health score is diagnosing problems and also diagnosing what you do really well. And I think a lot of times it's easy to focus on problems, but it's also great to go to your team and say, "Hey, we're doing amazing at these things. Like let's keep it up. Here's what we're going to focus on." The command center and the business coach are your execution layer. They say, "Hey, based on this data, we need to try A, B, and C." And we've built the business coach, with all of our 10 years of data and experience, our whole knowledge base, our prompt business coaching playbooks are built in there. And then eventually we'll also allow you to upload, you know, in a future version like, "Hey, here's our practice guidelines. Here's our, you know, treatment protocols.

[00:29:04]Here's how we handle patient conversations." And continue to make that business coach and command center more intelligent and more personalized to your practice. But, you know, this is going to be a really powerful feature that allows you to optimize your business and just focus your energy where you need to focus it. And you know, this is in early beta, but if you're a current Insight 1.0 customer and you want to get kind of bumped up the list, just shoot an email to support. They'll they'll move you up the list on the rollout. And if you're not an Insight customer, you can obviously reach out and you know, we'll be rolling new customers out onto this over the coming weeks and months. But, I just think it's a a real game changer. And then if you go to the next slide, um a little bit more on the business coach, um it'll both proactively make recommendations, but then it'll also be like your real-time assistant. And you can say, "Hey, you know, great. You made this recommendation. Let's go deeper on that problem."

[00:29:57]The eventual goal with this is it's embedded right in the EMR and every user will have their personalized business coach. Like we know the staff therapist needs different recommendations than the regional director or the CFO. So, the models will be optimized to give recommendations relevant to um each user as we continue to roll this out.

[00:30:20]>> That was a lot. Thank you. And intentionally so. Um what you just saw wasn't just one isolated product release. It's a set of updates designed to remove friction across the entire practice, clinical, billing, operations, enterprise, patient flow, and business intelligence. And the best part about it is that there's AI not just taking away the manual tasks that you don't want to prioritize, but it's also helping make you better at your job and giving you the tools to do that and to really excel. So, uh going to put up a poll and ask you guys which of the releases we just covered are you most excited about?

[00:30:58]My personal one is the business score and insights 2.0, but we want to hear from you. And please note that everything we just showed you is what's live today. So, you can utilize it um with your CSMs. You can help get this implemented and you can utilize all of this today.

[00:31:16]>> We kind of covered a lot really quickly.

[00:31:19]Um I kind of want to circle back to some of what Mike said at the beginning. Like when we started this company, we didn't want to just be a technology company.

[00:31:27]Like we said our goal is to start with technology, but then be a true business partner to run, you know, better, more efficient, more profitable businesses.

[00:31:36]And every decision we've made for Mike and I from the time we started the company to bringing in prompt compensation to prediction health to who we hire and you know, what products we build is is with that in mind. Like we want to find the highest leverage ways to drive the best results for your business.

[00:31:53]Um we don't always hit the mark, right?

[00:31:55]Like we've shipped features that maybe didn't do the thing we intended to, but part of why we built our company to be able to release 30 to 50 new features every 2 weeks is that if we miss the mark on a feature, we're going to take all of that feedback. You know, 70% of what we build comes directly from customer feature requests and we're going to pivot and we're going to shift what we're building to make sure we're meeting the needs of our customers. Um like Mike said at the beginning, more than 50% of our employees are in customer service and and product. And I think one of the most underutilized services is our student placement initiative and our career connection.

[00:32:28]Those are free services that Marla and her team actually run um to help get clinicians. And everyone knows the clinician burnout problem.

[00:32:36]They go find burnt-out clinicians and help them work at Prompt clinics cuz we know that Prompt clinicians are happier, they burn out less, they document less, and they make more money. Um, you know, so reach out to your customer success manager if you're not leveraging career connection. And then our student placement initiative, I I think we placed about 3,600 students. We're working with 75 universities. We cover the placement cost. Um, those are really great services that cost you nothing.

[00:33:02]Um, the executive business reviews that we do are another service that's fully free. Um, your customer success manager will do an entire deep dive on your business and then meet with you and for an hour or two kind of go through all of that and say, "Hey, here's some of what we found that you're doing phenomenally well. Here are some opportunities to improve." And then, I mean, if you do want to outsource your billing or to leverage our business coaching or some of our partners that do phenomenal business coaching, we have a ton of resources there as well. Um, continue to send if you're a current customer, like keep sending your feature requests. Like I said, like my product team, I run the product team, they go through every single feature request. It It drives 70% of what we build. And we can't thank you guys enough for the partnership over the years. Um, and I'm like really excited.

[00:33:47]I'm always excited about what we're building, but like the past 6 to 12 months and everything we're working on the next kind of 6 to 12 months is going to be spectacular and we can't do it without continuing to get uh, feedback from you. And, you know, again, as more than just your tech partner, we hope that kind of every interaction you have with anyone on our team, you know, that you're blown away with the level of service that you get. Um, so just reach out if there was anything on this webinar that caught your eye or you really want to follow up on. Um, if you're not a Prompt customer yet, reach out as well. Um, we're happy to talk more in detail about it and, you know, see if it's a great fit for you to kind of switch over to Prompt.

[00:34:25]>> And with that, too, we hope that all of these that you've seen today that's either live or that's coming, that you thought, "Wow, I submitted a request for this or I put in and I asked my CSM about this." Because we listen to you.

[00:34:39]Everything we do is your feedback, what you guys are sending in. It's why we do these webinars today as well. We really do care about you who are in the system, with the patients, with the payers, and helping tell us what we need next. So, with that, I'm going to roll one more poll about what are you most excited about that's upcoming? Again, this is helping us pull our timeline and our road maps. We want to hear from you.

[00:35:04]>> We appreciate everyone's time and thank you again if you're a Prompt customer for being a Prompt customer and all the feedback. And thank you to everyone, whether you're a Prompt customer or not, for taking the time today. We know you're all extraordinarily busy, so we appreciate it.

[00:35:17]>> And thanks to you, Mike, Adam, and Pedro for coming live with us and telling us about all of the great features that are out there. And for all of you, look forward to seeing you in our next next webinar. Have a fantastic rest of your day.

[00:35:31]>> Thanks.

[00:35:32]>> Thanks, everyone.