Mobile Healthcare Applications – Forbes Interview

October 5, 2023by Matthew Standish0

Hunuu Health 

Healthcare Mobile Applications 2023 – Forbes

Matthew Standish – Founder

(click to explore the answers to the questions!)

As I mentioned that, I was going through your website and I got to understand about the challenges as to how Hunuu Health captured health data and analytics from countless wearables and fitness apps, how it traps the critical wellness data that is really needed today for the patient needs to determine and mitigate some of the challenges that they're facing. And that's where you are coming in as a company. And I was thinking that's a great angle to the write about when it comes to the data, how it's getting trapped and how you are figuring it out as to how really to create that seamless process, so that the healthcare organizations can really leverage that data. Yeah, that will be my angle to the story, but if you want to take any other angle when it comes to how you want to focus your company in this article, or when it comes to understanding the potential needs that you are really fulfilling when it comes to your potential clients for reading this article, it'll be great if you could talk to me.

You bet. Great, great introduction and thank you for reviewing our website. I really appreciate that. Sure, we put a lot of time and effort into it, most people say go look at the website, but I think ours is special in a lot of different ways.

What I would like to highlight is this is, I would like to get away from kind of our common messaging and really dig down a layer deeper so that the content that we’re discussing today and I’m providing is different than anything else you’re gonna see on the web or from competitors, things of that nature, something very unique.

Yeah. So, I’ll just start and then you can ask me questions along the way and we’ll pivot from there.

Hunuu Health got started because the economics of healthcare is not only failing, but it’s failing rapidly to the point of bankruptcy in many countries, but especially in the US, that Medicaid, Medicare, VA Care, single payer care, the economics just don’t work, $33,000 for a single mom or $40,000, 50,000 for a family that just doesn’t scale. The economics don’t work, and the ROI isn’t there either, in most cases, because this, like electronic vehicles, this is all about subsidies, we’re subsidizing a whole other individuals, other underinsured or uninsured individuals, or Medicaid, Medicare. So what I wanted to do is allow individuals and families to take back their healthcare, to own their healthcare for the first time.

We’ve been at the beck and call and at the mercy of general practitioners, we don’t really know their skillset. We don’t really know the value that they’re adding, except they go and they’ve refills prescriptions for us, The hospital systems, we’re at the mercy of them. We don’t know anything about the doctors. It’s not published anywhere. We don’t know anything about the system. We don’t know anything about the expertise of the system and the doctors, except what they post online.

The health system is a black box. You just don’t know what’s in it, and unfortunately, when you speak with these providers, whether they’re a provider, whether they’re a big health system, they don’t know what they want, what they do know is they’ve invested into a CRM system like an Epic or Cerner, Cerner owned by Oracle, Epic, individually owned. So you never win with, buying a CRM system is never going to help you innovate, right? A CRM system is essentially a common repository for shared information, it’s no better, no less than SharePoint, more individualized, but it’s not mobile focused. And it’s something that we’re going to talk about and really investigate further, is this idea of patient generated health data. It doesn’t really contain any patient generated health data. So you’re at the physician’s office, what, for 15 minutes, every six months, maybe an annual physical that takes 20 minutes, or at least that’s been my experience.

But what about the rest of the 365 days in a year, just cause you haven’t been to a doctor, but you’re O2 doesn’t fluctuate, your heart rate doesn’t fluctuate, your blood pressure doesn’t fluctuate. Nobody understands on the entire, it’s like, the human body is really like a symphony, and different pieces playing together where one affects the next. So what we’re doing at Hunuu Health is we’re taking that patient generated health data, and we’re bringing the analytics together so they make sense not only to the consumer or the patient, the patient can share that information with others, their family members, because I don’t, my family lives all over the world, I’m first generation German, I have family in Detroit. I live in Atlanta, my kids go to school, one in Virginia, one in Seattle. So families are distributed, and it’s important that we understand, and share how each other is doing, right? And our basic health, especially for those we need to care for.

At Hunuu Health, what we do is we allow people to share patients, families, to share that data with one another, but also to give them insight as into their health, on their recovery rate after a jog, is it getting worse or is it getting better? Historically. The doctor’s not gonna tell you that, but at Hunuu, we have this, our patent is on event-based outcomes, and event-based outcomes are all about using AI in a very familiar way to bring, how was your last night’s sleep? What was your SPO2 level? What were your beats per minute, right? was it to get you to a hundred percent oxygenation? Was it 12 beats per minute or 20 or 16? Or what is your regular rate? What’s your galvanic skin response after a workout or after a jog? what’s your recovery time? So we look at all of those different principles that you might see on a wearable, right? On a watch.

But we also take into account, if you’re an avid tennis player like I am, and have their heartbroken by Djokovic losing at Wimbledon, a step in maybe an elderly person walking around the mall versus a step on the tennis court is much different. The strength, the stride, the sprint, the exertion, the calories, right? Because one step isn’t just a step, a step that’s common for everybody. What we really think about and delineate is the context, right? What’s the context of that step? What’s the context of that activity, right? And it’s only when we perform the context and through AI, when we put these parameters together or attributes together as a model, do we understand your real health to create not an Apple Watch score. Oh, congratulations, you got 10,000 steps in. Well, Apple grossly overestimate steps. It doesn’t understand stride length. It doesn’t allow you to really compensate for stride length versus something like a Garmin that uses three different satellite frequency.

So, just because you have a wearable doesn’t mean it’s right. Number one. And what we do is we look at that and we normalize the data, which is important because bad data in means a bad diagnosis, right? and that’s what leads to mistakes. And I think like, probably like me, you probably lied to your doctor, whether it’s how many drinks do you have in a week when maybe that week you were out partying with friends, the doctor doesn’t always have all the information. And just human nature is, we don’t, unless they ask, we might not volunteer all that information.

But sensors really cannot be lied to, right? and it’s time to be honest with ourselves from a health perspective. And it’s important to be transparent with our doctors so they can understand. Because when you look at healthcare, it’s like looking, it’s like driving a Ferrari around 12:45  or name your favorite F1 track, but you’re looking in the rear view mirror, right? because in the rear view mirror, all that data is historical, it’s old. Mm-hmm. The future is ahead of you. The next turn is ahead of you. So when, certainly in F1, right, you don’t wanna be looking behind you. That’s why there’s no real rear view mirror, you wanna be looking in front. And what we do is we provide that the future we provide the real time data, we provide sometimes the AI assumptions that looks at this idea of event-based healthcare, and event-based outcomes. And you can only do that through this idea of patient generated health data.

So, when we build on this, and we’re looking forward and we’re allowing the doctors to look forward, this starts to integrate ideas like AI, right? AI with a sense of virtual media if you will or what we call, we’re not a game, we’re not Sony, we’re not Activision, but we allow you to see visual analytics. So, we’ve recently, partnered with TCL, with some of their, like a Google goggles type of thing, where there are different lead screens in, but you can still see and interact with the patient.

But you see their realtime data streaming while you’re speaking with them. And then we allow you access, we have two views in our system, and I’m gonna kind of delve into a little functionality, I won’t go deeply into the functionality, but I’ll give perspective.

We have a doctor’s view. So a doctor logs into the app. Now, this isn’t into, you don’t have to log into a computer system, you simply visit the doctor, you give them a QR code that doctor can log in with on a mobile, because we’re very mobile focused. They could log into a browser, they can transfer that to a large screen, however they wish, right? So this doctor view looks at all of your analytics that’s uploaded in real time. They’re able to see that through our visual analytics, right? Through VR. And, they’re able to see on the screen, historically, what’s going on right now. So the idea of taking your blood pressure is a waste of time, right? the idea of taking your temperature is largely a waste of time. All those analytics have been trending for some time since you’ve been seeing them. We create events so they can go through events and say two months ago I saw you had a spike of a fever of about 104. Are you feeling better? What was that due to? How did you get over that? What was your recovery time? They could ask the right questions when presented with the right information, right. So that’s very important. Then a doctor before maybe their day starts, they can search through all their clients they are going to see for the day and see, for example, who might have really high blood pressure, who’s potential diabetes is out of control as we integrate with glucose meters, for example.

And with IoT, that’s just another sensor to us, right? They can search on whatever parameters they need to based upon the type of typical clients and patients that they see, right? So we have a patient view, we have the doctor view, we have all the analytics there for the doctor to look through during the day, during the visit, and then post visit, right? And then for the patient, they can see all their analytics. There’s no surprises. They can go in to see the doctor and be very transparent about what’s going well, what’s not going well, whether they need to be eating better, whether they need testosterone, or their mood, or talk about maybe their sexual performance, right? And a lot of what we’re trying to do is unlock in the conversation with your doctor, and depending on who that doctor is, you get to share the data you want to share with that doctor, right?

So if you’re seeing maybe in osteopath, there’s no need for them to see a lot of information about you. You could show them just what you want to show them, because at the end of the day, what Hunuu Health is doing that’s very different than Aura, you’ve heard of 17:38 forward before in the US, they’re doing some of this NextGen medical treatment in offices.

Our data’s secure, we don’t share it with third parties, right? We might integrate with an Epic through what’s called the Fire API. We might integrate with an Epic, we might integrate with the Garmin, but we’re not selling data to health brokers. We’re not selling data to insurance companies. We’re not sharing data with the government. We’re not sharing data with the World Health Organization or the CDC, right? because this idea of privacy, whether it’s GDPR in Europe or whether it’s here in the US with HIPAA tech, we go way beyond that, right? we’re very, very focused. We’ve partnered with EFS, the Electronic Frontier Foundation, which I’m sure you know of, to make sure that our data is secure and that it really goes up against the policies and the baseline for EFS as well as for me personally as CEO.

Back in, my career as chief architect at T-Mobile USA and Deutsche Telecom, we took people’s data very, very seriously. Now, they don’t take it as seriously, but that has stuck with me for some time, and that’s why at Hunuu your data is yours. Your data is secure, you control your data, right? It’s not going to be measured to count against you on just because you have a genetic marker for cancer, right? That’s your data to share. No longer are people going to mark up things based upon assumptions, that’s a clear differentiator in what we’re doing.

And then, the third piece, we had the doctor dashboard, right? Then we have the patient analytics that they can see in a lot of our different mobile screens, right? We also have a health provider view, so maybe it’s a big health system like Baylor Wright, down in the Texas area where I’m at right now, visiting and their administrators, their analytics, their BI analytics team can go in and access analytical data. What’s trending, what sort of procedures are trending. People in our app can look at and access data from the top universities. We only bring in data that’s curated. We cut out the politics, right? And we only bring in data that’s real, from real studies, data from Lancet, AMA can be pretty political. So we look at data and we get rid of the politics, and we only bring in data that’s accurate, based upon scientific studies. Right?

So based upon a lot of that data, users then can access and look at trends, what’s being viewed, what people are interested in. Maybe there’s a new drug that came out. And this is what I think is really interesting, is we have partnered with Zimmer, through a third party, which I can’t mention very big hospital health system based in the Midwest. They’ve connected both of us. And now what we’re doing is we’re integrating analytics, and from the sensors that are based in hips, knees, pretty much a lot of different, even organs to an extent, right?

So the sensors are telling us, who’s getting up, walking around, who’s stretching, who’s doing the physical therapy that’s needed, right? And that can really help in solving, why is this patient not recovering like they should be? Again, it gets to the idea of transparency, and it’s good for the patient, and it’s also good for the physician so that they can help maybe compensate or overcompensate in a way to ensure that people are getting better without multiple visits, without multiple surgeries. And this is something that’s very, very new to the market, and I’m not aware of anybody else that’s doing it at this point. So, that’s a very innovative thing that we’re doing.

I’m gonna mention one more thing and then I’ll take a pause, and we’ll maybe discuss any questions, and it’ll allow me to get a drink of water.

So, we’re big fans of this idea of what we call the three pillars,, it’s physical health, mental health, and sexual health, right? And, a lot of times people might not know that they need a stent, that there’s a heart blockage until maybe their performance isn’t as good as it used to be in the sap, and enlarged it is for women as well, going through menopause, going through changes. As we all know, women are very complex and this idea, a lot of times women don’t, a symptom is, maybe they’re not as lively embedded as they used to, or maybe that they’re not as ready for sex as they used to be, maybe even from the week before or maybe there’s a drug that’s interacting with their ability to have sex and enjoy sex, right? and all these things work together, and then that feeds into emotional or mental happiness as well. And a lot of people are on drugs, I have a lot of friends that are on Abilify. How is that working for you? What we do is we have a solution, as part of our app where in the morning you take 15 to 30 seconds, you talk to the app, tell us how you’re doing. And what we do is we work with a third party, and we grade based upon your vocalization based upon, it’s largely a patented system that we filed for our latest patent.

Well, linguistically, we basically break down a lot of characters, you know, whether verbs, action verbs, and then we start doing semantic type of grading, right? It’s not really the same thing as sentiment analysis. That was big in social media. It’s way, it’s well beyond that, so we use AI to really grade, how you’re describing your day, and then we might take a sample in the afternoon and then before you go to bed. And then we kind of put that together. And if you do, maybe start on Lexapro or Abilify, it seems like, well, at least statistically 30% of the world is on, you get a chance to see, is this working for me, is it not working for me? Am I mood here? Am I more depressed? Right? Am I feeling better? Now you have a statistical sampling instead of just saying, Hmmm, I feel like I’m kind of be, you know, you just, when you’re having that, you know, conversation with your doctor or your therapist, you just don’t, you don’t think about what happened three weeks ago or four weeks ago, or Thursday, three weeks ago, the way you felt. That’s why you have an idea where you can start tracking things, right? and again, you have the ability to control what you share. You can share this information or not. That’s up to you, right? Because it’s your health, it’s your body. So, I’ll take a pause right there, that’s kind of the thousand-foot level of a lot of the things that we’re doing.

Perfect, that's a great understanding that you're provided me, and thank you so much for that. I have a couple of questions here. The first question is, as you mentioned, that you are giving the control back to the patients. You are empowering the patients with their data, and of course it is bringing many benefits to them, whether it be on the efficiency side or when it comes to how you are empowering them. It also is helping in an improved healthcare outcome when patients are actively involved in their healthcare decisions, take ownership of their health, they're more likely to follow treatment plans, engage in preventive measures. So, I understand all that, what I'm trying to get to understand a bit more is, uh, how your company really works. I mean, when it comes to empowering the patients, would you say the patients are your users or are your clients? Or is there a different model that you're following? How does the solution really work in a real world basis? If you could, if you want to gimme some examples, as well, that would be great.

Yeah, that’s terrific. Thank you. So, it works a couple different ways, and this is a terrific, this kind of sets us up perfectly for a nice discussion. Our go-to market has been very tricky, obviously there’s the, what I call the enterprise market, our corporations, there’s a lot of companies that are trying to help big companies, they provide an Apple watch. Everybody’s got to wear it. You get discounts based upon how many steps, that’s scientific garbage to me, right? That’s not a market we want to plan, I don’t like manipulating people. I don’t like manipulating health, and the economics don’t work, right? Giving away a $300 watch, carrying inventory, we’re an AI company, right? We’re a health AI company.

We deal with mobile specific, and IOT sensors only. So our market, and it’s developing and pivoting, right? So one is big health systems to white label our app. So, today, there’s, Epic has their own app, it stinks. It looks like a 1990s web form or Gmail web form, right? it’s terrible. The experience is terrible. It looks terrible. It feels terrible. It looks old, it feels old, and it’s very, very limited, so nobody really has a health app that’s very serious, right? So health systems, white labeling our app, that’s one avenue. We’re actually, we’ve already been offered a couple million dollars for the company, we’ve been offered to be invested by health systems.

So clearly there’s a market, where large health systems want and need an app like this, to the point of, they didn’t even just buy it. They wanted to invest several million dollars in  Hunuu Health. So there, we knew we were onto something, but as you know big health systems, they’re not very innovative, right? They don’t like, the question is, well, we’ve invested so much into Epic and Cerner, how does this replace it? They just can’t figure it out. They don’t have the team, they don’t have the cycles, and frankly, they don’t really have maybe the education and tech to really be innovative, and they don’t hire to be innovative. They hire to basically keep things running, to keep the lights on. So, although that’s a market, it’s not our target market.

Our target market is, we’ve had recent discussions with the NBA and Major League Baseball teams to look at the performance of athletes, and that is definitely a market for us. So collegiate teams and professional teams, I was also a professor at University of Michigan, and their health systems. So we’re speaking with them, so we’re looking at college athletics, across the board, we’re looking at pro teams, whether that be women’s soccer, is major discussions we’re having right now, whether it’s Major League Baseball, whether it’s the NBA mm-hmm, that’s a target market for us. We also are working with hormone replacement for men and women, large facilities across the US and the South to allow, again, white labeling the app.

So, we can start looking at and tracking, whether it’s testosterone replacement, again, whether it’s for sexual, whether it’s for health, whether it’s mental vigor, whatever it’s for. We are the infrastructure worthy app, we are the health analytics that help those docs serve a huge market right now. Seems like there’s testosterone therapy replacement. Everybody’s doing it, kind of like the Ozempic thing, right? So, but then that gets us into something very negative with Ozempic, is people are taking it for off-label reasons. Well, how is that affecting their health? So we like to track the positive, but we also track potential negative consequences of taking an off-label drug.

And let me mention another one. The United Stated Department of Veteran Affairs (VA) is also another vertical for us, where we’re teaming with, I won’t name the provider, but you might guess, we’re teaming with a mobile provider, one of the top mobile providers in the US to better assist telemedicine, to better assist, it’s not just a visual phone call with somebody that we’re talking about. We’re talking about real analytics while you’re having the cough, right? And there’s been over 220 billion dollars of investment over the last four years to what they call health tech telehealth. A lot of that money is, wasn’t contributed to companies like us, right? that money was thrown after Teladoc and all these different virtual visit, virtual chat companies, but it’s just another channel, right? Instead of going to the doctor, you’re calling on the phone or you’re having a chat, right? It’s just a different channel, but it’s the same thing. They don’t have any data on you, I did a Teladoc visit once. It literally took, it was great. I needed to get a refill on a medication I’ve been taking for 20 years, and my primary doc wasn’t available, I paid 35 bucks and in three minutes my prescription was renewed. So was it convenient? Oh, yeah. Hell yeah. It was convenient, did it help me in my health and evaluate anything maybe that I was going through? No, these visits were not meant for that. They’re for, maybe you were swimming in the water and you got pink eye and you needed a cream, or your kid scraped their knee and you needed an antibiotic cream.

It’s made for small things, right? But it’s like there in, especially in the US and I lived in Germany for a time too, Germany’s much better at this than the US but here we have the Teladoc’s of the world, and then you have the emergency room, there’s no in between, right? So you could go into maybe a 24 hour clinic, is that covered? How much is covered by insurance? But people, usually go to a big emergency room, or it’s a simple Teladoc visit. There’s just no in between. And we want to get away from ambulatory medicine and more towards proactive medicine to reduce ambulatory, to reduce visits to the hospital, surgeries, heart conditions, diabetes conditions, right? And all this significantly helps the economics of the healthcare system in a more positive, in a more efficient way, and at Hunuu Health, that’s really what we’re after.

But to start, we we’re not going to start by fixing the broken system in the US. We were going to start by helping athletes, pro teams, college teams, hormone replacement, right? Working with veterans and the VA, working with your Verizon plan or your ATT plan or T-mobile plan, you get, potentially, one day our app included in it. Now, does that mean that you’re trusting T-Mobile to fix your health? No. But it certainly can help with the connectivity to doctors, to specialists around the country. And one of the other things that we do is we allow you to research your physicians, right? We allow you to research, so when you do want to see a doctor, why should you be limited to who’s in your city? Like, I’m in Houston right now, maybe I want to see a doc. I used to live in Seattle, maybe I want to see a specialist at the University of Washington, right? you shouldn’t be limited by your geography. And this goes to all socioeconomic classes, right? You should not be limited from the best healthcare by your geography, right? Or where you live or your social status.

What we’re trying to do is make it more democratic so everybody can have the access to the best healthcare or through AI, like a lot of our algorithms are consulted with some of the best docs in the world, right? whether it’s the endocrinologist. So we have their intellect baked into our system, right? They’re giving advice that they would give you as if you were sitting next to them, but we’re just automating it, and that’s something nobody else is doing.

And that’s another huge IP. And what we call this is kind of the force multiplier. It’s like stealth airplanes, stealth aircraft, right? If you can get close to your enemy, you’re going to have a better probability of shooting them down. Same thing in healthcare. This is a fourth force multiplier, because if we can bring patients and doctors closer together, or specialists closer together, and we allow patients to research the doctors they would like to work with, right? Whether it’s background, whether it’s med school, where they went to, whether it’s how many lawsuits they’ve had against them, how many times they’ve been censured by the licensing board. People deserve to see that information, and it is not widely available, right? So we’re empowering patients and people to grow closer to their doctors, and the closer they get, the better healthcare they can get, right? Because when you go into the room, it’s almost like a, the patient is nervous. The doctor has five or 10 minutes at most, they have a hundred 30 different, 40 different patients. They got to see that day. They’re thinking about other things while they’re talking to you, their head is not always for the game.

We need doctors’ heads in the game, being present when they’re having that conversation. And you do that with data, and you do that with better data so that they’re better prepared, right? And can spend their time with you meaningful instead of taking your blood pressure and sticking your tongue out, right?  that’s not going to fix healthcare.

The other question I had was, and this may seem like logical question, but I just wanted to understand, because you are empowering the patient, you are giving the control of the data to the patients. Is there a possibility that, they can really change it? I mean, you gave an example where of course everyone has lied to their doctors, so just to get that thing out of the picture. I just wanted to confirm if there is a security process that you have where the patients can't really change their data or they should not, you are educating them, if you want to talk about that.

Yeah, that’s a great question. Thank you. So our analytics are not editable, right? they are what they are, right? There might be aberrations in the wearable that we’re getting the information from, right? But we normalize the data like we talked about earlier, right? so, if we put a Garmin watch and an Apple watch on someone, are you gonna get the same results? No, not even close. You’re gonna get, I mean, I’ve done these tests myself, right? I’ve done them with friends, you know, I just have them like go about their day with two watches on their hands looking like an idiot, but lead time varied 25, 30%, steps vary sometimes as much as 60%.

Heart rate is variable, like, there’s all sorts of huge variables or kind of huge delineation from the mean, so, our data’s not editable, but what you can do is you can write notes, so brief notes. Like today, here’s a great example, if I drink two or three glasses of wine at dinner, let’s say, I know immediately my O2 level at night goes down between four and five percent. I’ll go from 93, 94% O2 levels to like 88, 89, I know that for sure, it also makes my snoring worse, right? and then that further breaks things down.

So if you can edit that and say, okay, doc, I have three glasses of wine this day. That’s why it looks that way, right? so when we have kind of a morning report and we allow you to kind of edit, look at all your data and edit, when you get up in the morning, be like, oh, you know, I didn’t sleep four hours, I actually slept six. You know, this is bullshit. We allow you to make notes on those things, but you can’t really edit the data. It just gives you additional context. So if there is an aberration, you and the doctor can say, oh, okay, yeah, that makes sense. Yeah. Like machines and sensors make mistakes. So that’s the only amount of editing. You can’t spoof what we’re doing.

The only other question that I had was about the future when it comes to the next 18 to 24 months, are there any additional features that you are planning to launch, and you can reveal or maybe a new set of reporting tools or insight base that you want to insert into your system? What really lies ahead for your company on a technological basis and on a geographic basis as well? Maybe you want to talk about some of the new territories that you're going to target when it comes to the next 18 months, maybe in the APAC region or any other region, what really, what really lies ahead for your company?

Yeah, that’s a great point, I’ll tell you, I’ll sum it up into a quick story.

Sure. When I was at Motorola, I was, this was, I don’t know how young you are, but this was the age of the flip phone and the two-way pager, that’s when I started my career. And we actually in on roll, we have these great two-way pagers, but every character cost 33 cents a character, right? Right, right across ATT’S network, but I’ve been used to texting since 1998, right? I’ve always had a two-way pager with Motorola, but they were crazy expensive, thousands dollars a month in bills, right? And one of my products was the StarTAC products, right? Their phone, right? one of the best phones ever, and I’m proud to say that I got the new Motorola Razor, which is the next evolution to what I helped develop back in 1999, right?

And I stood up in front of the executives, I was 20, 23 years old, right? I think I was the youngest director in Motorola. And I said, what they would do is they’d put you on stage in front of your peers and all the executives. And of course, I was kind of younger and pretty nervous and, I said, there’s no reason we can’t put a camera on this phone. Mm-hmm. <affirmative> and everybody burst out laughter, complete laughter, right? and I told all my friends, I said, you watch phone cameras on phones are going to be the next biggest thing, right?

And when I first started designing the iPhone with with singular at the time, they then merged to ATT, people were still kind of laughing about that, right? It wasn’t really real until what 2009, 2010, it became kind of a thing, right? maybe even before that, maybe 2006, 2007. But innovation takes a long time to come up with consumer behavior or natural human behavior. And I really look at this, I look at our app at who knew and think, wow, this might be, this might even be too much for people, right? but as people get used to, I mean, even the older generations getting used to apps and healthcare and whether it’s a Teladoc visit or whether it’s using it for GoodRx for or their Aura Ring or their wearable, or their Apple Watch, they’re getting used to using apps on their phone.

So we think that the behavior is there, but we know that we’re still a bit early. I call it perfect timing because we’re right, we’re kind of going up that tipping point, and I really think the tipping point is going to be maybe 25, 26, where you’ll see more apps like this, right? So I really think that we’re two to three years looking forward now as we sit here today, what I would like to do is figure out for Europe, how we can help Europe, because their health systems are much different than the US, how we can include this into the European market, that would be something in the future.

And another feature that we haven’t talked about yet, but is coming at some point is integrating dental analytics into our app as well, because as we know that that is a function of our health and it’s a function of many different things. But, maybe it’s a step too far, but a lot of toothbrushes now have quite a bit of health analytics built into them, so that that’s something that we’re going to include for our heart health component of our app.

Stay tuned for more….

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