MOMENTUM 2026 keynote

Dan. Dan? Dan, where are you? Momentum's about to begin. I rushed down the stairs, I tripped and I fell, and I really bashed my right knee, and now I can't put any pressure on it. I think I actually tore my ACL. Oh, that's a bummer. I'm impressed that you're here. Unfortunately, I can't treat you. I'm a dermatologist, not an orthopedic surgeon. If you had psoriasis on your knee, I'd be a different story. Okay. Oh, good morning. Good morning. Good morning, everyone. Michael. Morning. Hey, Dan? What happened? You know, I just... I fell. It's embarrassing. I think I tore something. Oh, boy. I think you need an orthopedic surgeon, But I'm not an orthopedic surgeon. You're also not an orthopedic surgeon. No, I'm also not an orthopedic surgeon. But wait a second, I got some good news for you. Oh? The premier Modwell Orthopedics coincidentally just opened a practice location right here at the ******* Palms. Right here in the ballroom of the ******* Right here. Can you believe What are the chances? You know, it's funny because I'm actually a Modwell ortho patient. I came to see them from when my knee was busted up the other time, and I fractured an ankle, so I already know I'm in good hands. Well, lucky for you and the nearly 2,000 people here, not only are they right here, they happen to be using the latest version of Modmed's AI powered practice. So Dan, I think you're going be in great hands because we're all going to see how you go through the entire patient care journey, the clinical encounter, and maybe even getting claims paid. So how exciting is that? That sounds pretty good. I like that. Well everything you're going to see, by the way, is available either now or is in development and will be available in 2027. So let me start with, first of all, an introduction. By way of introduction, I'm Joe Harpaz, co CEO of ModMed. Nice to see everyone. I'm Doctor. Michael Schirling, Chief Medical and Strategy Officer, co founder of ModMed. And I'm Dan Cain. I'm the other co founder and the other co CEO, and I'm your resident orthopedic patient for the day. Alright. Is everyone ready for some fun stuff? Alright. Dan, are you ready? Do I have a choice? Nope. None whatsoever. So let's get your knee on the road to recovery and let's see, where do we start? Well, obviously we gotta get Dan scheduled for his appointment. Doctor. Schirling will see you in a little bit. Right now, Dan, we need to get you into the clinic. To show us the power of the AI powered patient engagement, please welcome on stage our general manager and one of the co founders of Bonsai, general manager of patient engagement, mister Travis Schneider. Come on out, Travis. Yeah, Travis. How's it going, Joe? Great to see you. Looking good. Travis, welcome to Modmed, and by the way, it's a pleasure for me to have two cofounders of two amazing technology companies here on stage. Now Travis, clearly Dan is in pain. We need to get him in good shape for tonight's eighties party, just saying. And I know that Dan is impatient. He does not wanna make a phone call. Press 1 for appointments. Press 2 for billing. So could you give us a view into how ModMed's patient engagement offering can help him? Of course. No phone calls, no hold music required. With AI scheduling, which is currently in beta, you can book your appointment right through the app. Alright. On it. The AI recognizes the appointment request and with a couple of clicks and verifying your insurance, you should be all set and scheduled for your visit. How's that coming? It's getting there. Oh look at that, they do have a satellite in the ******* Hotel, that works for me. Saturday at 08:15 it is. It's amazing. Well from there, patient intake forms are going to automatically be deployed. You see the link where you can check-in with intake? Yeah, it just gave me a check-in link. Go ahead and click that. Oh, and now there's an AI assistant to guide me through the entire experience. Perfect. Did you notice that those intake forms were tailored to your appointment type? Oh yeah, look at that. Which knee is bothering you? Tell me a little about the knee pain. Falling on the stairs, that's embarrassing. Cool. And it even has my updated medication, so all that's there. And if I... Well actually, it's missing the pain killer I took this morning just before I got on stage, so let me try to find this. You know, balancing and using a phone is not the easiest thing in the world. Alright, ibuprofen. I can just take a photo because AI. Yeah, right there? Look at that. Yeah. Alright. Well, while Dan's filling out these forms, all the information that he's submitting is getting updated right directly to the EHR and PM. Dan can even make his co pay. He can verify and confirm his insurance and everything is mapped and ready to go before he even steps into the exam room. All set. Wonderful. That's it. And so with that, it sounds pretty easy. Took the scheduling, took some intake, and guess what? You notice no clipboards, no front desk bottlenecks. The self scheduling capabilities available on MedTech are already delivering powerful results. We know by example, Fort Wayne Dermatology shared with us a 32% reduction in inbound phone calls. And with this new conversational experience you just saw, we expect adoption and front desk time savings to reach a whole new level. So thank you very much, Travis. We'll see you in a bit. Thanks, Travis. And Dan, now that you're scheduled, why don't you head on into the exam room? I'll let you hobble over I'm not very good at this. Okay. Great. And now we're ready for the clinical team. So please welcome back Doctor. Schirling, and joining him will be our treating physician, our Medical Director of Orthopaedics, Doctor. Suzy Kim. Hi, Doctor. Kim. Hi, Dan. I'll be right in. Okay. Michael, what is doctor Kim gonna do now to prepare for the visit with Dan? Yeah. So normally, spends valuable minutes digging through years of patient history, but not in the AI powered practice. Our AI instantly reviews Dan's chart and new intake forms, dropping the key details right into a clean clinical AI summary. Let's take a look at the AI clinical summary doctor Kim is reviewing right now. Reading this before opening the exam room door, doctor Kim can understand in seconds Dan's extensive injury history. I see he was just in two months ago for right knee pain. Yep. And before that, he came in with a sprained ankle and a broken wrist from Ultimate Frisbee, and then I think a dislocated finger from vigorous typing. Vigorous typing? Dan, you really are a high impact executive. Guilty as charged. So, doctor Schirling, when will all this new AI clinical summary capability be available to our friends here in the audience? Right now, it's in beta testing, and we're hoping to release it for Emma by the end of this year and in g Gastro in 2027. Fantastic. Well, thank you, doctor Schirling. And doctor Kim, the patient is ready when you are. And I think due to HIPAA, do I need to leave you guys for privacy? I don't want anyone observing or... We'll see you later. Alright. Great. Enjoy. Thanks, Joe. Hi, Dan. Good to see you. Hi, doctor Kim. It's good to see you, although I wish it was under better circumstances. Seriously, people usually bring coffee to these keynotes, not torn ACLs. I was just so excited to get to the keynote this morning that I went to the bank of elevators, but they were all busy. So I saw this stairwell was right next to it, and I started to rush down the stairs, I tripped and fumbled a little. I didn't fall very far, but I landed really strange on my knee, and it it... Like, I heard a pop, and then I can't put any pressure on it whatsoever, and I did some damage this time. Sorry to hear that. I did review your AI generated clinical summary, but first, would you mind if I turned on ModMed Scribe? It listens in the background and suggests content for my note. That way, I can focus on your knee and not typing. Oh, that would be great. I hear it works really well. Alright. So, you know, we did go over your history, and it looks like you already entered it before you came to the visit. Do you mind if I start my exam? No. Go right ahead. Alright. Go ahead and lay down here. I love your pink socks. Thank you so much. Oh, yeah. That knee is really swollen and... Oh, yeah. Some medial joint line tenderness and... No. No. Hold on. Hold on. Oh, yep. That's a positive Lachman and a positive pivot shift. That's pretty classic for an ACL tear. I think we should order an MRI to confirm. An MRI? Just an MRI? Can't we do like a like a PRP shot? I had one of those once, and that did a lot. And I heard that there's this new peptide, I keep reading about it online, called the Wolverine peptide, where you get a shot... I'm serious. This is real. You get a shot in, like, five seconds, you heal just like Wolverine. Can I do that? Well, PRP isn't really proven effective for acute ACL tears, and as for the Wolverine peptide, you know, these things change all the time. Let's check the research. I'm going to use my AI assistant. This interface, which is currently under development, will allow me to check evidence based clinical decision support. It also gives me estimates on out of pocket expenses, and it'll help me with some prior auths. So back to your question, Dan, about this Wolverine peptide. Alright. So it looks like the only real evidence is on rat ligaments. You may work like Wolverine, you're not gonna heal like Wolverine, and you're definitely not a rat. No human trials, not FDA approved. Let's stick with the MRI. Okay. Well, if you insist, we can stick with the MRI, but how much is that gonna cost me? Oh, okay. Well, according to your insurance, it's gonna cost $200, and it will go towards your deductible. Okay. That sounds good. Let's do that. Wonderful. So I will order your MRI. We'll start the prior authorization, and on your way out, my team will fit you for a brace. Don't forget to ice and elevate. That sounds great. Thank you so much. I appreciate you. Sounds like that was a good visit. You're a very good patient, Dan. Thank you so much, and I hope your knee recovers soon. Good work. How about a round of applause for Dan? Alright. So, doctor Kim, you seem to be pretty hands free there with your assessment. So what do you need to do now to complete that visit? Honestly, almost nothing. While we were talking, ModMedScribe was listening in the background, and it suggested content for my note. It even listened while I used AI assistant to answer Dan's interesting question. So all I have left to do and wrap it up is to look at my reconciliation right here. And this is where Smart Merge comes in. It takes what's existing in the chart data and blends it with today's transcript. It works alongside Emma to also suggest ICD 10 and CPT codes. So all I have left to do is review it, accept it, and voila, my note is done. That's amazing. And I I know I'd like to throw you off with this one, but you mentioned the term smart merge, and this is a a new capability of ModMed Scribe that we've been working on. Maybe just emphasize where smart merge really comes in handy for providers. Sure. So Smart Merge takes a look at what existed in your note before you started the recording. So whether that be manually entered EMA data, previous findings, or protocols. Then it compares the two, and it will allow you on the reconciliation screen to either leave it alone if the baseline didn't change, merge it if there's a small detail that changed, or replace it altogether if that detail is completely different. That's fantastic. So particularly when you're seeing a patient you've seen before To help with that. That's amazing. So there's one other issue that we know comes up a lot, which is prior authorization, and you didn't speak yet about that. So how can AI help us there? Good question. If you look at that bottom right corner of your screen, you will see that AI assistant flagged that Dan's insurance requires a prior authorization. And you can see on the right hand side of this screen that the AI assistant helps to populate the form, pulls the justification right from today's note, and even attaches the relevant clinical documentation. So I review it, hit submit, off to the insurance company. That's fantastic. So documentation complete, the prior auth was submitted, and I think you saved some serious time. And as a matter of fact, in some of the research we're doing, we think this can save providers and staff an hour or two a day. So think over weeks and months just how much efficiency and time savings that can be for everyone. So that's fantastic. Doctor Kim, you saw Dan, but I know you are an incredibly real orthopedic surgeon. What's next on your agenda today? Oh, well, let me check my schedule. Looks like I have an afternoon patient named Irish. Canceled. He happens to be sitting right here in the front row. In the old days, that would be lost revenue. My office staff does not have the bandwidth to fill that open slot on such short notice. Well, good thing you have ModMed patient retention, so why don't we bring Travis back on stage to help us with that? Travis, come on back. Good to see you again. Good to see you again. Hey, Travis. Doctor Kim's got an issue here with Irish. Oh, well, that's not one issue. There's actually two issues. When a patient cancels, the office has to do two things. It has to get the patient rescheduled. That's problem number one. But it also has to go and find a new patient to try to take that slot. But that's comes in. As soon as Irish canceled, patient retention detected it, it immediately sent him a message, and it was really easy for Irish to get back on the books for his cortisone injection. Well, that's good news for Irish because he's all set up. Irish, you good? Fantastic. But as you pointed out, there's a second issue which is Doctor Kim likes to have a full schedule to be efficient. So what does she do right now because she's got an empty slot sitting on her schedule? Well, we've got that covered too. Awesome. So with patient retention, as soon as someone cancels and we have to look for that open slot, AI looks at the practice management system, it identifies patients on a wait list, it immediately reaches out to them. In this case, when Irish canceled, Luke happened to be at the top of the wait list, He received a message and with a couple of clicks, he's filled the open slot, he's been able to come in early and the best part is the staff didn't have to lift a finger. That's amazing. So no one really had to do anything. Irish got rescheduled, Luke got the benefit of an advanced appointment and Doctor Kim has a full schedule as she likes to do every day. Yeah. That's really, really great. But do you know what the coolest part is? Tell me, Travis, what is the coolest The coolest part of patient retention is the results dashboard. Now we're looking at an example here for a derm practice, but it doesn't really matter. What the retention dashboard tells us is how many patients were contacted. Out of all of those patients, how many of them actually booked an appointment. The practice can see what their conversion rate is and probably most importantly, they can see the actual dollars and pay collected. So it's really easy for them to determine their ROI. That's fantastic. So not only we have patient delight, we got a happy provider's got a full schedule and then for those who are monitoring practice financials, they can actually see the impact and benefit of the revenue from the work that they're doing. That's really great. So it's really putting your patient retention on kind of an autopilot. And we've launched this already in dermatology. It's going be going into beta now for orthopedics, and we'll be rolling it out to the rest of the specialties throughout next year. Well with that, thank you Doctor. Kim, thank you Travis, appreciate it. Alright, so let's see where we are. We had patient Dan treated. We helped optimize doctor Kim's schedule. But now the practice needs to get paid. So let's take a moment of transition. I'll tell you a little personal story. When I joined Modmed almost nine years ago, they said, hey, you're also going to be responsible for RCM. And I'm going to out myself in front of 2,000 people. I went on to Google and said, what does RCM stand for? And then I was like, well, that's so weird. Revenue cycle management. Isn't it simple? You just send a claim, you get paid. Like in any other industry, you provide a service, provider knows what they're going to charge, you receive a service, you know what you're going get paid, you exchange money, and you're good. Well, we all know now that I'm in this career for nine years and you guys probably similar, in health care it's different. Revenue cycle management is kind of death by a million cuts. It's complicated, it's expensive, but it's absolutely vital because it is the lifeblood of a practice. So we've been spending the last couple of years really studying this and trying to figure out how can AI be applied in RCM to enable practices to really optimize their revenue, manage the cost, manage the labor, and manage the complexity. And it really is a difficult case because practices have to deal with so many different payers, staff turnover, etcetera. And so we really looked at it from a transformation perspective. And I couldn't be more excited this morning to give you a quick preview of our new RCM AI platform. And to help me showcase this, please welcome on stage our senior vice president of revenue cycle management, mister Rob Ware. Alright. Morning, Rob. Good morning, Joe. Everyone's excited to see you, I'm sure. Excited to be here. Before we get into showing some really cool technology, let's talk a little bit about what is it that makes RCM so challenging in health care for practices, particularly specialty practices. Yeah, I'm not sure we have enough time to go over all of it. You've touched on a few of the issues. I mean I'd break it into three things. First off is just sort of the complexity of the patient journey. You know, in order to get paid, you've got to make sure you're doing the right things at each step. So from registration, scheduling, coding on the visit, all the way through following up, getting off if you need it, getting referrals. So there's just lots of places where things can go wrong in the process. The second is you mentioned payers, right? So most practices will have hundreds, if not thousands, of payer and plan combinations which could each have their own different rules, making it again more complicated. And then third, which you also had mentioned, was people, right? So RCM really requires specialty expertise, and sometimes those people are hard to find, they're often hard to retain and keep in the office, So that becomes a challenge for a lot of practices. Yeah, as a matter of fact, on the staffing, it's interesting because I meet with practice all the time, and it was actually... It was a point that kind of surprised me that not only there's a turnover issue, but when you get new people in, they may not know all the standard operating procedures, the uniqueness of how the practice operates, the payer rules, and so there's also an issue of kind of getting people up to speed in the learning curve there, right? Absolutely. Well, that, you want to show us some new RCM technology? Sure. Alright. Alright. So I'm going to jump right in. And this is our RCM AI platform, which some of you may have already seen downstairs. And I'm going to start here with the view of a biller. So I'm a biller coming into work for Modwell Orthopedics, and I've got a list of claims that I need to work today. And the first claim we're showing up here is actually Dan's claim. Doctor Kim did a great job. She went through. She used the AI powered practice. That claim's ready to go out the door. So I'm gonna look at the second claim. This claim I need to work is for Abraham Lincoln. So today, if you wanted to work a claim, you know, you're starting your day working through your your list, you would open up PM, you'd go into the claim, you probably need to figure out why this claim here, right? So you might look at what's there, you might have to pull up the EOB, start studying, look through the note, any claim notes that are there, bill notes, what's gone on with this claim before. That sounds like a lot of work. Yeah. How long would that take You know, think five minutes on average probably to sort of do the research and figure out just where you need to start on the claim depending on how complex it is. But today we are in the AI powered practice, And so the first thing I'm gonna do is I'm gonna come over here on the right to my AI Sparkle, I think I think that's what it's called. It is a Sparkle. AI Sparkle. Yes. We all just learned the little button is an AI Sparkle. AI Sparkle. Okay. Say it after me, Sparkle. So we start with the AI Sparkle, and I'm gonna go ahead and click that, and that's gonna launch the AI Billing Assistant. And so you'll see a couple of things here. On the right hand side of the screen, you just have some basic claim information. If you just wanted to do something quickly, could tap a note in, assign it to someone else, you know, push the date out and move on if you wanted to. But what's happening on the left hand side is the real magic of the AI Billing Assistant. And so what it's done is it's gone in, it's pulled up all the information that it can find in our system about the claim. And so it's read any EOBs, it's looked through the complete history, it'll summarize the history of anything that's happened already on this claim, and it'll go ahead and do some analysis. So in this case, the AI billing assistant looked at the claim, it figured out this was a CO 29, so a timely filing. Yep. Timely filing know that's my favorite kind of You'll timely filing. So we got a timely filing denial, but not only that, it's already looked at context of the claim and it figured out based on this payer's timely filing, this claim was actually filed on time. So we need to file an appeal. The AI billing assistant has gone ahead and built an appeal packet for us. So at this point, if we wanted to, we could submit and away it goes. But the way we've designed this is human in the loop. What is that? What is That's a good question, Joe. So human in the loop simply means the AI is gonna help us with the process, it's gonna do a lot of the thinking for us, but it's not gonna take all the action. Right? It's gonna give a person the opportunity to look at what's happened and say, does this seem right to me? Yes, I wanna keep moving. So in this case, it's built an appeal packet for us, and as a biller I can review this appeal package. I click right here, and it's going go ahead and bring up the appeal package for me. And so it's nicely displaying what's in the appeal package, so it wrote a cover letter, and again I see my AI sparkle. So the AI sparkle next to the cover letter means that the AI billing assistant created that content. The other items on here, so there's an EOB, there's a CMS 1,500, and a clearinghouse acknowledgment, all of those were just documents in the system, no modification. I've got the ability to view the appeal package, so I can click on it here, comes up, I can view my full appeal packet. So again, I can see the letter which the AI has drafted for me, and then again the documents that included my HCFA clearinghouse acknowledgment. If I wanted to, as the biller, I could go in. If I don't like what the AI suggested, I feel like it needs a little bit more, I can make changes to the letter. If there are forms that are required, it would have pulled in the form that the payer is requiring. And with that, I can submit the appeal where we've got electronic connections that will push it straight through. If we don't, it'll give you the ability to print or to download it and upload it to a portal. So right there, we're done. We've submitted the appeal. That's amazing. So the AI actually understood why the claim was denied, then it helped you prepare the appeal package and all you did was review it and send it off. Absolutely. So maybe a minute or two versus what could have taken me fifteen, twenty minutes. That's fantastic. Now in this example that you gave, you were able to resolve the claim yourself by having the AI help you do the research, prepare the materials. But as we all know, there are certain situations where it cannot be resolved and it requires reaching out to the payer. And we all who do that love to do that. So you find the payer's phone number, you call, you sit on hold, you get to an agent, and you then exchange a lot of information and try and get some information or status or deal with the appeal. Is there anything AI can do to help us with that? Absolutely. So I mean I think a lot of us are probably aware of AI voice agents. So we are also including AI voice agents in the platform. So if I go... I'm gonna go ahead and move to my claim, and there's a couple ways to navigate to that. So what's going to happen here, again I've moved on to my next claim, the AI billing assistant is thinking, and it's telling me what it could figure out. So this claim was denied for medical necessity, and it's gone through and it said, hey, there could be a couple things going on here. This could be an issue with a modifier. It could be a diagnosis problem. It doesn't have a definitive answer, and I'm not sure. So I'm going to call the biller sorry, call the payer. And as you mentioned, I could call and wait on hold, but instead, I'm gonna ask the billing assistant to do it for me and to launch that voice AI. So let's call Healthy, our payer. Hi there. Thanks for calling Melny. This is Denise. I'll be your provider service representative today. Thanks, Denise. This is an AI voice assistant calling on behalf of Modwell Orthopedics, not a live person. I'm calling about a claim. 432186179898. Provider NPI is 1699912345. The member is George Washington. Date of birth is 11/02/1965. And the CPT codes in question are 20610 and 20606. Is there anything else I can help you with today? That's everything. Thank you for your time today. Well, first, Rob, I think everyone is now thinking thank you at 8AM for not forcing us to sit through an entire payer call, so we appreciate that. Yeah. I mean, we kinda sped through a lot of it. In this case, not only do they call the payer, the assistant is then able to bring that information back into the platform, and when we come back to that claim, we can quickly submit and move on. Fantastic. So the examples you showed here would be applicable, let's say, if you're a biller and this is assisting you in getting through your workday a lot faster. I think a lot of the people in this room have broader responsibility as far as maybe managing the entire practice, managing how providers get paid, managing the financial performance. So I'm curious once you go sort of at that level of viewing the financial performance of a practice, what can we do from an AI perspective to make it a lot easier for everyone? Absolutely. So I think folks will have already heard us talk about AI analytics. We're introducing AI analytics throughout the platform, throughout ModMed, including in the RCM AI platform. And so within our platform, we're calling it the RCM AI Advisor, and this really does. It allows us to talk... Turn raw practice data that's in the PM system into insightful analytics. So, you know, one of my favorite things about about this is you can you can ask questions in plain English and get answers. You don't have to know exactly which report do I need to go look at to find this information. So just start with something simple. I could ask what's driving my denials. I'll go ahead and ask the RCMAI advisor, and it's very quickly gonna pull up some insights. So again, I didn't need to know what reports to run. I didn't have to, you know, use the dashboards or run pivot tables. It's pulled up how many denied dollars do I have by provider, so depending on the issue. In this case it sees that authorizations are the top issue, it's giving me some estimate of how much of that I could get back if I had a better process to ensure I was getting my prior auths up front. So a little bit of insight, and you continue to go back and forth, ask it more questions, it can peel apart the data any way you'd like. It's the death of the pivot table. That's really incredible. So think about conversational capability. Pretty much you get any financial insight you want without having to stitch together a whole bunch of spreadsheets. So you have financial analytics. You may not need to reach out to payer portals anymore because you can use either voice AI or submit appeals on an automated basis. Really, really a lot of capabilities that are AI enabling the RCM process. So Rob, maybe a little bit of insight from a timing perspective for those who are interested or curious on potentially leveraging this, when is it going to be available? Yeah. So there's two ways that customers will have access to the RCM AI platform. So we're already using the platform today with our Modmed RCM services team. They're leveraging that technology, and we're seeing benefits for our current services customers. And for practices who want to keep their billing in house or using a CBO, we're going to be entering beta soon with some technology clients, and we're planning for a broad rollout in 2027, first half of twenty twenty seven. Fantastic. And of course, if people wanna see it, there's a lot of opportunities here at Momentum to go to the AI Pavilion and see it. Rob, thank you so much. Please help me with a round of applause for Rob. Alright. Well, we gave you a quick glimpse. You know, a year ago, if you were here at Momentum, we kind of teed up the AI powered practice, and we're really, really excited. And hopefully, you saw that, you're seeing the kind of progress that we've made. We think 2027 is gonna be a huge year for AI adoption and practices. For us we are really developing AI embedded into everything Modmed does. So these are not stitched on or bolted on solutions, they're really part of the overall platform. And if you saw the experience this morning for clinicians, it really is the dream of our co founder Doctor. Michael Schirling, who told me when I joined ModBen, he said really doctors don't want any technology, they just want to see patients. And the technology needs to melt away in the background. And I hope you saw between ModMed Scribe and the clinical decision support and prior authorization automation just how easy it made it for Doctor. Kim. And for patients, of which we all also are patients, we want to work and engage with practices the way we do everything else in our life. And you saw through the conversational capability of reaching out, doing the intake, the intake information going directly into the EHR, just making it seamless for the providers, the staff, and ultimately giving a great experience for patients. And for those who are responsible for running a practice, you also have that financial responsibility. And you saw a quick glimpse of what is coming in terms of the ability to bring the labor cost and the effort and the pain in RCM, but also most importantly optimizing revenue. In many conversations that I have with practices, part of the problem in RCM is you can't get to everything, so you try and go for the high dollar claims and then things are left on their own. But now with AI you can basically make sure every claim is accounted for and considered. Ladies and gentlemen, that is the AI powered practice, and I want to thank you for the attention on this part of our presentation this morning. Thank you very much. Alright. I'm gonna leave here in a second. I'm gonna tee up the next part of our morning session. So obviously we showed you a lot here on the AI front, but we've done so much more across our products and our product roadmap. To share that with you, I'd like to welcome this morning on stage our Chief Marketing Officer, Justin Steinmann, joined by our Chief Technology Officer, Venk Jayaraman. So please welcome them. Good morning, Momentum. How are guys doing today? Yeah. That was pretty impressive. Yeah. You want to get your hands on it yourselves? Well, I tell you all to go to the AI Powered Demo Pavilion, where you actually can see everything you just saw and talk to people about it and really get your hands on it. It's amazing stuff. How about one more round of applause for our presenters this morning? Okay. So we had a lot of cool new AI. You saw that. But we have also spent a lot of time over the past year investing heavily in ongoing enhancements and improvements to the core products on which you rely every single day. So Vijay came out with me today, and let's be honest, he's the brains of the operation. I'm clearly the beauty. And so... Y'all laughed at that. I like that. Okay. So Vijay is going give a little bit of insight into how we're doing here. So Vijay, congrats to you and the whole team. Thanks for doing this. Thank you, Justin. Good morning, all. It's an exciting time, and the entire R and D team has been working very, very hard to push all these capabilities forward. Yeah. So we saw some great AI, and that was really cool. But what have you done over the past year to enhance the products like I just mentioned? I'm so glad you asked, Justin. So it's something my team thinks about every single day. We are investing heavily in core product enhancements. And to get those improvements to our customers faster, we are leveraging AI internally across the entire r and d, pipeline to accelerate feature development. And how are you using AI to do that? So we are, you know, leveraging various AI tools across our entire build pipeline from requirements to to validation testing and deployment on the cloud. And we have already begun to see engineering productivity gains. Thanks to these tools, our teams have delivered nearly 20% more core feature enhancements per month this year when you compare to last year. Yeah. That's impressive. Good job. I like that. I I understand you all... They can applaud for that. Absolutely. Yeah. Thank you. Thank you. I also understand you've changed how we're shipping our products. They're shipping faster. Right? Yeah. So, Justin, historically, as as many of the folks in this room know, historically, we delivered major software updates at... On Emma on a quarterly, schedule. Moving forward, we are identifying opportunities to deliver core enhancements on a more frequent monthly cadence. As some of you know, Gastro is already delivering on a monthly cadence. And bringing Emma to the same rhythm means that you all get your key enhancements and the user requested features as soon as they are ready and we don't have to wait for the quarterly release. That's awesome. Let's dive into some specifics, Okay? Talk to me about Emma. What are some of the top client requested stuff that you've built over the past year? Absolutely. Let's talk about some of these highly requested client features. So first off, enhanced fax split. This was actually, believe it or not, the number one request on MR. So it uses AI to suggest splitting of the fax by patient, pre populates tasks based on your custom rules, and extracts new patients for referrals. You still remain very much in full control throughout this. And the work is also underway right now to split faxes by category and extract more information out of it. Next is universal ID. So many of the practices in this room have grown by acquiring new locations. And they manage multiple forms, call them URLs, as you all know. So instead of logging in, logging out, and logging back in when you switch the forms, you now get a single sign on, passwordless experience with centralized admin controls. By the way, this feature also kind of provides the foundation for what's going to come next, which is centralized roles, groups, and permissions. And we plan to roll this out throughout the next year. There are some more enhancements that are coming in the upcoming December release related to prescriptions, quick cigs, compound medications. For quick cigs, we have streamlined the prescribing process with a curated selection of medication specific directions. And for compound meds, you will have the ability to add them to the prescriber favorites, which reduces the complexity of ordering compound meds. Protocol management. In the same release, by end of this year, you will have the ability to manage protocols across the entire practice with a designated role of protocol administrators. So that's how you know you're at a health care conference, right? So in the space of one hour, we've talked about AI and faxing. It really is back to the eighties. Right? Alright. Yeah. I'm I'm a comic relief here, clearly. Talk to me, Vijay. What are you doing on g Gastro? So on g Gastro, Justin, we heard loud and clear from the GI community that they needed us to invest deeply in gastro. So we did. We are currently rolling out a modernized user experience on our gastro platform in waves through early twenty twenty seven, featuring clean, intuitive layouts, faster performance, and updated provider documentation screens. So as part of this modernization effort, we delivered Gastro's number one user request, which is a remodeled My Activity screen. It is one clean dashboard for your daily tasks, messages, and appointments where preferences carry over automatically. And a smooth scrolling replaces your old page clicking. Beyond that, this modernization includes e statements to simplify and accelerate patient payments as well as enhanced inbound fax automation to reduce your administrative burden. We cannot seem to get out of the fax line. We can't get out of the faxing business. No. Now we are also embedding AI across the entire Gastro suite into clinical ASC financial and patient workflows. As part of this, we are really excited to announce that ModMedScribe for GI is now in beta with general availability expected by early next year. And just so we're on the same page here, this is the same ModMedScribe that we introduced last year at Momentum has since been used by 2,500,000 patient visits? Exactly. Exactly. That's exactly what you're going to get in gastro. That's awesome. That's really cool. What about patient engagement? What are we doing there? So as you saw earlier, we have major updates on the patient engagement side in development across the suite, including patient intake, patient retention, and open slot fill. So please go to your specialty sessions this morning to check out these innovations. Excellent. Those features are going save front desk teams just so much time. I thought what Travis showed this morning was really cool. He was pretty Yeah, it was great. Yes. So last but certainly not least, let's talk about analytics. Rob gave us a little bit of preview on what we're doing with the RCM AI platform. We put out a big press release around ModMid AI analytics. What's going on in the analytics front? Yeah. So for starters, we delivered on the two major promises that we made last Momentum, if you remember. First one was the self serving on the historical financial data. You can now pull financial data older than three years, yourself and Emma, whenever you need it. You don't need to submit a request anymore. And the second part is the near real time financial reports. So the financial reporting now refreshes every couple of hours instead of once a day, which was the case before. Now it gives you near real time insights into your practice. And the big reveal, you saw a little bit of glimpse in the RCM AI platform from Rob. We are launching ModMed AI analytics across patient engagement, EMA, gastro, and RCM. So instead of hunting through those rigid dashboards, you can ask questions and generate custom reports using conversational natural language AI, just like asking an AI assistant. Yeah. This will be released for patient engagement in the next month or so, believe it or not, and it rolls out for MI and gastro in the first half of twenty twenty seven. That's just amazing, Vijay. And look, to all of you, I want to say thank you because a lot of the work that Vijay just talked about came directly from Momentum last year, where you sat down with our product managers and our customer service and support team and gave us your feedback and said, I want this. Please build. Give me the real time reporting capabilities. Vijay takes that, works with our product team, and builds it. So thank you all for your feedback. And Vijay, thank you for your whole team delivering. Thank you, Justin. Thank you all. It's just an exciting time to be in health care technology, and we are just getting started. So have a great momentum. Great. Thanks, Vijay. Good job. So none of this would be possible without all of you, our customers, bringing it to life in your practice. And so now it's time for my personal favorite part of Momentum, which is the Hero Awards. We recognize you, the customers, for doing such great work with the MyBet products. Please join me in welcoming to the stage our chief customer officer, Celine Keyser. Good to see you. Good morning, Momentum. Wow. I'm so happy to see so many of you again and to welcome new faces. As we say, this is one of our favorite times at Momentum, celebrating you, our amazing clients, with this year's Practice Hero Awards. For those joining us for the first time, hero stands for health care excellence in refining operations. These awards celebrate the people we make a real difference every day, improving workflows, patient cares, and operational excellence. We received dozens of impressive nominations this year, so congratulations to everyone nominated. And now, let's meet our six twenty twenty six practice heroes. Our first award celebrates excellence in clinical workflow and EHR innovation. We all know that change is not easy, especially when you are asking busy surgeons to change how they chart. But our winner made it happen. She led the adoptions of MonMed Scrub and protocols and created training guides to help her team. And the results? Chart finalization is now 10 times faster, and providers save one to two hours every day. So please give a huge round of applause to Lauren Cantrell from Dubuque Orthopedic Surgeons. Our second award recognized excellence in MonMed G Gastro. Our next winner improved how providers use G Gastro and G Scribe, making clinical documentation and reporting faster. She also coached providers one on one to improve chart completion timeline. And the results charting delay dropped by 20 to 30%. Reporting became faster, and quality reporting improved across the practice. So let's hear it for Darian Johnson from Capital Digestive Care. Darian could not join us today but we will be celebrating her at her practice really soon. Our next our next award goes to a revenue cycle powerhouse in the category of man made RCM services. Working closely with our RCM team at MonMed, this next winner improved billing processes and reduced denials. In just ninety days, outstanding claims dropped from the denial, dropped from by 45%, and the overall denial rate improved by 39%. Even better, her team now has more time to focus on complex building work. What an incredible impact. Please join me giving a huge round of applause for Kimberly Speer from Virginia Physician for Women. Congratulations. Yes, Kim. Yay. Our first award celebrates excellence in MonMed practice management. This winner led the launch of MonMed practice management and MonMed Pay while also turning around the whole front desk team and cutting daily overtime. Staff now can leave by 05:15 instead of 6PM. The financial entry errors are now almost gone, and patient wait times drop by fifteen minutes. And by saving two minutes per payment using MonMed Pay, the practice saves the equivalent of a full time employee. So let's give a huge round of applause to Meredith Earhart from Malhei Eye Institute. Our next award celebrates leadership in man made patient engagement, proving that technology and a personal touch can make a real difference for patients. Our winner helped patients use digital check-in and patient portal messaging one on one while coaching her team, and it paid off. A stunning 85 to 90% patient adoption rate for digital checking and patient portal, and a 10 to 15% reduction in patient no shows and late cancellation. Congratulations to Tendra Henderson from Havan Pregnancy Wellness and Women's Health. So Tendra could not join us today, but she will receive her award really soon at her practice. Now, our final award, MonMed AI powered practice of the year. This award celebrates a practice delivering amazing results by bringing together technology, AI, and great teamwork. Our winner has taken full advantage of the MonMed integrated platform, combining Emma, Scrap, practice management, pay, patient engagement, inventory, MIPS, and patient retention. And the impact has been amazing. Patient volume grew by 39%. Patient portal usage increased by 59%. Revenue capture rose by 79%. And I think one of the most important ones is that the clinical notes that once took a full week to complete are now finalized in less than eight hours. What an incredible transformation. So ladies and gentlemen, please join me in celebrating the 2026 AI Power Practice of the Year, Apex Skin, represented today by Jessica Biello and Rochelle Cook. Congratulations. Congratulations. So please, one more big round of applause for all of our winner. I hope, I really hope that their stories inspire you, and please connect with them this weekend. They have a lot to share, and I'm sure you have a lot to share with them. Bring all that inspiration back to your practice. And who knows, maybe next year you might be on this stage. Now speaking of next year, please mark your calendars. We're coming back to this beautiful location September twenty fourth to twenty sixth, and we're sharing our twenty eighth dates too. We will be at the Swan And Dolphin in Orlando, October twenty seven to twenty nine. So again, thank you all for being here. Enjoy the conference. Please celebrate our heroes, and let's keep creating momentum. Thank you.