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How AI Is Transforming Healthcare Supply Chains and Cutting Millions in Waste
How AI Is Transforming Healthcare Supply Chains and Cutting Millions in Waste
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- [00:00]
A
When every second counts, logistics can mean the difference between care and crisis. Today on Lead with AI, I'm joined by Kaylin Bailey, Executive Director of Growth at Clarium, the AI powered healthcare logistics company, ensuring critical medical supplies reach the right place at the right time. From hospital networks to life saving procedures, we when the system says it's needed, Clarium gets it there. Let's get into it. Welcome to lead with AI. I'm Dr. Tamara Nall. In each episode, we will take you behind the scenes with visionary leaders shaping the future of AI across public and private sectors. Join us as we explore groundbreaking projects and innovations that are transforming industries and making a real impact on people's lives. Let's dive in. Hello everyone, how are you? It's Dr. T, your host for Lee with AI and I am so excited to be here. As you know, we hit number one in tech on Apple podcast this year. And then also. Thank you, Kylin. Also, we won the W3 gold award for interviews related to podcasting. So I'm really excited. But I would be remiss to say that if it weren't for our great guests such as Kylan Bailey, who is the Executive Director of Growth of Clarium, then we would not be able to get all these accolades. So, Colin, welcome. How are you?
- [01:42]
B
I'm doing well. Thank you for having me and congrats on all the, all the success. I'm excited to be here.
- [01:47]
A
Thank you. It's exciting. When I started this, I always said that it was for the AI Petrified, the AI FOMO and the AI Curious. And I just wanted to bring all of the different products and services that were AI powered to our listeners and that's what we've done. So I'm excited and I'm excited about this because it's in healthcare and my earlier career was all about healthcare consulting. So I am excited about talking about Clarium. But before we get started and learn more about what Clarium is, tell us about you, Collin. Like, who are you at your core? At what point did you feel that Clarium was needed and tell us exactly what it is and what it does?
- [02:33]
B
Yeah, so, you know, my background is a little bit unusual for the title that you just mentioned for what my role is. So at Clarium, like you said, I'm the Executive Director of growth, essentially, you know, helping meet with different healthcare systems throughout the United States, understanding what they're working on, what's top of mind for them, and seeing if Clarium's able to help out with some of those problems in the healthcare Supply chain space. But historically I've actually been an enterprise architect and sales engineer for a few other healthcare startups throughout the U.S. i've worked in just about every single corner of healthcare. Revenue cycle management, supply chain now, patient registration, referral coordination, you know, billing and coding. A lot of different areas that I've gotten to touch throughout my career. And you realize that there's a lot of many businesses just inside of one one health care system. And so there's a lot of areas that need help. And as we all know, overall health care needs help. And so it's been a passion of mine to, to work in healthcare, especially in AI. Since 2018, I've had my own interesting healthcare story and it motivates me to kind of keep going with these types of organizations.
- [03:47]
A
That's amazing. So tell us a little bit about Clarium. What is it exactly? I know it's AI power, but tell us exactly what it is and who are your customers?
- [03:55]
B
Yeah, absolutely. So Clarium was founded about five, five and a half years ago at this point by Steve Liu, who's the founder and CEO of Clarium. He actually had a background in investment banking but was working in a healthcare portfolio. He worked in some really incredible spaces. One of his portfolio companies was working on stage four brain cancer treatment, which is no joke there and very difficult to work through. But he realized very quickly just how technology and healthcare was being created for so many of these many businesses that I mentioned at the beginning. But they weren't really focused on the actual materials that were needed and the actual processes that were needed to actually give care. And so supply chain kind of is exactly that. And so Clarium is essentially a resiliency platform. It is a platform that consolidates a lot of historically siloed data throughout these supply chain teams and allows for supply chain teams, four clinical teams actually to be able to get real time insights on disruptions. You know, you look at Hurricane Melissa happening right now and unfortunately in the Caribbean, that's going to have probably health care impacts, not just there, but probably in the United States in some capacity. And so being able to understand how to handle those, how to communicate with your team members and get actual AI insights to save you costs and actually make your day to day life even better is really what Clarium is at its core.
- [05:31]
A
Okay, got it. And tell us about the holy smokes moment. Tell us about a time where a customer actually used Clarium and it changed everything for them and their business or their delivery. Healthcare delivery.
- [05:44]
B
Yeah. And I think the holy smokes Moment is interesting just because we tend to get a holy smokes reaction the first time we demo it to somebody. Just because they realize that this is combining so many of the tedious, annoying things that they have to do every single day into one place. And so, you know, the, the comparison that I've really made historically is think about how many things were combined in your life when the iPhone came out. This sounds weird, but we typically people didn't use a phone for an alarm clock. We think that, we think that is one of the most easy things that a phone can do yet. Think about before a smartphone, think before an iPhone, you didn't use a BlackBerry for an alarm very much. I doubt, you know, thinking about that, thinking about a calculator, video conferencing, a phone, all of that in one place. Clarium's trying to do that for healthcare supply chain and bringing a lot of different places like your old Excel sheets, your E faxes, your websites, your phone calls, all of these different things into one place that allows you to actually work off of those. So that holy smokes moment tends to hit very early in our conversations.
- [06:54]
A
Got it in the demo phase. That's great. Now talk to us a little bit about how it works. Our listeners are very curious. So if we were to like raise up the hood or open, open up, you know, the brain, how does it work exactly? How does the AI, you know, kind of consolidate all of this into one place similar to that of the iPhone.
- [07:13]
B
Yeah. So like I said, I've spent most of my career as kind of a solution and technical architect and it was largely my job for many years to help kind of design what is happening under the hood and how it's communicating with all of these different systems that every healthcare system uses on a day to day basis under the hood. What essentially is happening is think about all the different data sources that you might use yourself on a day to day basis. You have your computer, you have probably 30 tabs open, right? I do, yep. You got, you know, even think of this, there's software involved with my AirPods I'm wearing, I have my iPhone over here, you know, I've got my car sitting outside that as software, you know, thinking about me as, as the center point. Clarium is the center point is pulling in your electronic health record, your erp, your go through a lot of acronyms out here, your wms, your gpo, your suppliers or your distributors, people that actually give you medical surgery supplies. Right. All of these different systems and these different businesses that you have to work with in order to give that surgery, in order to do that checkup. All of that comes from somewhere, and typically it's from genuinely thousands of places. And so what we are doing is we are getting data from all of those different systems and those actual external, let's call them distributors or delivery systems. We're pulling that in and we're running that through dozens, hundreds of algorithms. And we're actually running, you know, let's say, for example, let's say you need a gown for a surgery coming up. Let's say that, you know, the hurricane that unfortunately affected western North Carolina was a really good example. We were able to determine just based off of using a combination of information from a healthcare system in Louisiana. And then as well as looking at the trajectory using AI of the weather, we are able to say, we know that there's a factory that you rely on for gowns is a good example. There's a pretty good chance you're not going to get those 200 you need for those 150 procedures coming up. So taking all that data together, right, it's kind of crazy, but allowing your algorithms to actually process all that data and say, hey, I know that based off of these 872 data points, that it's likely that your 10 procedures focused on orthopedic surgery that require this specific gown are now going to be affected. And here's what you should use instead. Because we know, based off of our customer base, others have already approved to use this other gown.
- [10:08]
A
Oh, go ahead, go ahead.
- [10:09]
B
No, I mean, that's kind of the summation of it. And that's really one example. There's many other examples. But think of it really as algorithms unifying data to deliver actionable insights in real time.
- [10:26]
A
Got it. Now, again, your customers, are they distributors or is it actually like the hospital? Who are your customers? And if we go with clarium, we then have to give you all of our procurement data and all of our supplies data. Like. Like, how does that work?
- [10:48]
B
Yeah. So our customers are actually the healthcare system specifically.
- [10:52]
A
Okay. The systems themselves. Okay, got it.
- [10:53]
B
So. So we work, for example, with Kaiser Permanente, Yale, New Haven, Cleveland Clinic, Ochsner, many major healthcare systems spread throughout the continental US as of today. The way that we approach integration, which is my niche, so I'm happy to talk about this as long as you'd like. Um, but the way that we approach integration is, is twofold. We have direct integrations with systems that are owned by the healthcare. By the healthcare system specifically. So if the healthcare system Every healthcare system has an electronic health record. For example, maybe you've heard of Epic as a good example. Epic has different APIs. They have the ability to send batch information out and we have the ability to write that information back in after our AI is able to process for whatever automated tasks we might need to do. So we have those integrations. Then we also have external direct integrations with suppliers and distributors. So we are able to talk directly to different companies that actually distribute medical supplies. And there's a handful, probably about 10 major ones in the United States that really work in conjunction with these healthcare systems to deliver a knee replacement or to deliver a hammer or to deliver whatever it may be. That's, that's kind of it. So it's really a, it's a two way street.
- [12:21]
A
Got it. And if I'm a healthcare system and let's say that I'm you. So there are 10 suppliers, let's say that I'm used to. Before I sign up with you, I have like three main suppliers that I use. But then by signing up for you, if there is a shortage because of weather or some, you know, natural, natural disaster or something like that, I now have access to seven additional suppliers because I'm working with you, or am I only working with the three that I had before?
- [12:47]
B
Yeah. And this might be a segue into a question that I think you'll ask a little bit later. But that's one of the main things that actually drew me to come to Clarium is the fact that we are really the first fully unbiased organization in the healthcare supply chain space. Using AI as the primary foundation of what we do. We aren't tied necessarily to one individual distributor or supplier. We are trying to make sure that the healthcare system can make the most fully informed decision possible. When we talk with a healthcare system, it's very, very, very rare. I'd say essentially 0% that they do all of their supplies with one distributor. That's almost nobody does that. So they need to know who else can pick up the slack if somebody happens to be affected. It's no shame on who's affected. It's mostly usually not their own fault. It's usually geopolitical or geography or weather related, whatever it may be, or shipping related, who knows? But they need to be able to make an informed decision across different, you know, areas.
- [13:54]
A
Got it. Okay. All right, that's very helpful. And I'm assuming that was going towards your. The ethical crossword crosswords.
- [14:00]
B
Okay.
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A
Is there anything else you want to add around that?
- [14:02]
B
No, no, I think, you know, interoperability is a huge part of that. And that's, that's kind of the theme of what I was getting at there. But I think the other thing too is, you know, I. My last organization, we were really deep in the clinical space. We were in the ambient scribing space, and that's probably the most popular space in healthcare AI right now. I don't think there's really anything more talked about in healthcare AI than the Nambian scribing, but I think every single organization that even works in healthcare, even if you're like Clarium, where we don't really work with sensitive patient information, it's not part of what's needed to give benefit to logistics. Right. But data retention and data use, everybody at this stage, you know, I talked about this actually really recently in 2018 when I was talking with Healthcare Systems about the data that we would need. Data retention and data use was rarely a part of the negotiation between our company and the healthcare system. Everybody today knows that AI doesn't work without data, and that data specifically in healthcare is very sensitive. And so how that data is retained, how it's received, how it's transferred, how it's used, it's really the largest things that I keep top of mind, mostly because of the fact that I've worked really closely with our legal teams and our growth teams to understand what is the right way to go about this, because no two situations is the same. And so being able to handle data securely, being able to respect the boundary of what that healthcare system is comfortable with and what the startups that I've worked at have just needed to grow as a business, is a really delicate line. And ultimately that data just ultimately impacts patients, as does most things in healthcare. So we just need to make sure that, that we as an industry and as AI connoisseurs, I guess, are always keeping that top of mind and making sure that we have the right safeguards to do that effectively.
- [16:14]
A
Awesome. Okay, got it. Now, you talked about that there's so many different examples that you can give from demo all the way to implementation onboarding of one of your customers. So. So I like to ask the same question, but in a different way. And that's around talk to us about what I call real world magic. Even with you, I mean, you obviously have extensive experience within healthcare. You said from, you know, the entire value chain of healthcare. Talk about a time where you saw the magic in Clarium and you got excited. I mean, if you want to do a little victory Dance. I don't know how you celebrate, but.
- [16:56]
B
I'm not a good dancer. We don't want to go there.
- [16:59]
A
Okay, well, we won't go there then. But what is something that you observed for one of of Clarium's customers that you got chills and you were wowed by?
- [17:11]
B
Yeah. So I can't necessarily use specific customer names for this, but very soon I will be able to. It's just a timing thing, so. But as of right now, you know, I wasn't really looking very much for an opportunity, frankly. And when I got to hear about how much wasted money for lack of better English there was in the supply chain space and what lack of investment into companies to try to help the supply chain space in healthcare was just kind of mind boggling. And we've had a plethora of customers at this point who have been able to identify tens of millions of dollars in savings very rapidly. The largest number to date is a very, very large healthcare system in the US who we have partnered with on what's called preference cards. Have you ever heard of that term? So think about if you were going into a surgery as a surgeon, let's say, you know, for example, I actually had a shoulder surgery years ago on a torn labrum. My surgeon had, you know, he knows what a torn labrum is, he knows what he's going to do to fix it. But he needs the plastic hooks that are going to go in my shoulder. He needs the scalpel to open up the shoulder. He needs different medicines to make sure it's clean, make sure his hands are clean, have the right gloves, have the right gown, have the right face shield, have the right mask. The list goes on and on. Right. It really compiles. And so that type of torn labrum is, it's a procedure, it's a surgery. And that individual surgeon has a preference on the tools that he uses to do that surgery.
- [19:11]
A
Got it?
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B
Every single clinician has a preference, of course, and they, they should, we want them to be comfortable while we're knocked out, they're working on us. But, but a preference card is essentially a specific card that that clinician likes that, that outlines the tools that that clinician likes to use to perform a procedure. Those cards are not managed by the clinician. The clinician will tell somebody that they would like to update something once in a while. But these cards are typically at many places, some of the leading, in some of the leading healthcare systems in the world, these are maintained in a binder this big on paper that are updated if you're lucky, annually, as you can imagine, there's a lot of wasted materials where they're ordering things that are never used. They open things out of the package that are never used in the surgery that it's now a sunken cost. So we were able to identify with a major healthcare system, Midwest, Northeast area, $28 million in savings for them.
- [20:16]
A
Wow.
- [20:17]
B
So another very small healthcare system in the Midwest. They actually were able to recognize their goal was to save over, I believe, 18 months with us, $2 million. We were able to save them actualized $2 million in 90 days.
- [20:32]
A
Oh my goodness. Wow.
- [20:33]
B
And we are on pace to far exceed that. And so those are real numbers. Those are things that have been signed off by, by our counterparts at the healthcare system. That's what excited me. That was what the real world magic is.
- [20:47]
A
Well, yeah, I was gonna say, yeah, that is real world magic. That's good. So along those lines, talk to us about the future of clarium. Like, what do you see the future of clarium? What would the world look like with clarium?
- [20:59]
B
Yeah. So one of the things that's enlightening to me is, you know, I, I didn't necessarily work exclusively in a healthcare supply chain space until joining clarium, but one of the very cool things that I didn't expect to get exposure to is the fact that all of these healthcare systems either have, or many of them are starting their own warehouses. And so it's, you know, think of, have you ever seen those videos of Amazon with all the robots moving boxes everywhere, labeling them blah, blah, blah. Healthcare systems are starting to try to do that. And these new warehouses with all these robots all over the place moving needles, moving all these different medical supplies back and forth and making sure they get to all the different hospitals they need to get to is a combination of both hardware and software. And so I think in reality, AI is moving probably the fastest, you know, of, of any type of technology since the invention of the Internet. And I think looking at 2030, I think what we're doing in 2025 is going to look really old. I think that the next five years are going to be advancements equal to 30 or 40 potentially. And so I believe that you're going to start to see, number one, a consolidation of platforms. It's kind of a theme of what I've talked about today. But I think you're going to see a consolidation where similar to, like I said, with an iPhone. Alarm clocks probably have been down in sales for many years because of the fact that no one buys them anymore, I think, I think you're going to start to see the same thing with software and you're going to start to see hardware helping out with a lot of the redundant tasks that nobody wants to do. And so I think the combination of consolidating software platforms into efficient AI LED platforms and then also using things like actual physical robots to physically move things, I think those are going to become commonplace in the next five years in healthcare. But healthcare historically has moved slow, so I may be a little optimistic. But I could see it happening.
- [23:05]
A
Well, no, I mean, I can definitely see it. I attended a robotics conference out of the country and basically that is the perfect setting. These warehouse, you know, where you have monotonous tax. So picking up and putting is definitely there. It would just be interesting to see which of the companies. Well, you said the healthcare systems are even like the distributors, which one will be there first.
- [23:27]
B
So. Absolutely.
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A
Yeah.
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B
I think it's going to be having to rely on the hardware and the software hand in hand, and then we get to work on things that are a little bit harder to solve.
- [23:38]
A
Yep. Awesome. So our listeners also want to believe, they want to play around if people want to. And I'm assuming when we have guests that have a lot of diverse backgrounds, positions in healthcare, you know, as one industry among them, if they want to kind of find the power of clarium, what's the best way to do that?
- [24:00]
B
Yeah, and it's funny you say that there's a lot of different backgrounds. I actually, I wanted to tell you, I heard about your podcast from Alex Cohen.
- [24:07]
A
Oh, yeah.
- [24:08]
B
And I'm actually attending a little get together tonight for his series, A Celebration for hello Patients. So. So, yeah, here in Austin, Texas. But yeah, so the, the call to action, right, the, the make us believers kind of question, you know, supply chain in general is not a space that I think many people ever pay attention to. I would say I, I would want to plant a seed in everyone's head to think about next time you go to a doctor's appointment, next time you get on a virtual care call. Anything related to healthcare. Think about when they take out a stethoscope, think about when they put on latex gloves, think about when they put on a mask, think about when they, you know, use the little plastic thing to look inside of your ear. All of that stuff, all of that is from the supply chain. You wouldn't be able to get any of those things done, which we consider to be so simple if it worked for so many people, you know, Working so hard and going through a lot of archaic platforms and processes to try to make sure that each one of those clinicians is able to do that for you. And so, you know, I would almost challenge people just to think about that a little bit more. And then obviously, look at what Clarium's doing. We have a lot of announcements that have either come out super recently or are going to be coming out over the next month or two. So I would certainly hope that people go take a look at what Clarium is doing. It's clariumhealth.com but would certainly want people to go look at that. And the last piece, I would say kind of a call to action is in general, look at AI. What's happening in AI in your industry that interests you the most? There are so many smaller companies that you just don't know about, and maybe it poises you for a career switch. Maybe it's something that just totally catches you off guard and gives you an idea to start a company. But I think it's so important to make sure that you're staying diversified. You don't have blinders on and only paying attention to one type of AI or one type of company.
- [26:25]
A
Awesome. No, I like that. And that's very reasonable, actionable. I know I recently had a procedure and had to go under anesthesia, which. Don't tell anybody. I love anesthesia naps. They're like, the best. But, you know, and I'm always like, yeah, yeah, I'm not gonna fall asleep. And then before I know it, I'm waking up. But, yeah, I was actually in trying to stay awake, it was, you know, seeing them with the gloves and the mask and like, everything that they, that they were using. But, yeah, there's nothing better than a good old anesthesia mat nap for sure.
- [26:57]
B
Yes.
- [27:00]
A
Okay, so I always have a question. Call from one genius to another. And our last guest has a question for you, Kylan, and that is, do you think AI will ever be capable of true creation, meaning producing something entirely new, rather just evolving what already exists.
- [27:25]
B
It's a very deep question. Very, very deep question. I feel like they would have asked that question, like interstellar or something. You know, I think the definition of what true creation is is interesting to me in the question. If you just, you know, I'm a big fan of looking at history to look forward. If you look at the history of inventions, everything has a tie to something that already exists, even if it's down to just a material level. Everything is somewhat, you know, connected to something that we have as a resource on Earth. And so true creation, to me would be number one, probably something that not a single person understands. And you know that probably, if I had to guess, if I were to answer the question point blank, I do think it's capable of it. Do I think that it would change the way that we live our lives? I think it would take a very, very long time for us to get there. But I could see, for example, I think AI is kind of already truly created its own language. In a couple of cases where we don't understand it, we could probably figure it out, but we don't understand it out of the gate. So if you consider that a true creation, then yes. Do I think that all of a sudden a software program is going to create an alien spaceship?
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A
No, no.
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B
But I do think that there. There are some things that it truly can create. And it. It arguably already is. But in terms of, you know, something that is like, whoa, futuristic type thing, I think we're a bit away from that, but I wouldn't rule it out.
- [29:15]
A
Okay, awesome. All right. Yeah, that was a very long and deep question. So I love. I love the perspective there. So now let's go into our bonus rapid fire. I'm going to quickly ask you a question. You give me the first response that comes to mind. We will start with the most overrated question, tech trend.
- [29:32]
B
I'm going to go very against everything that I just said with my overrated answer here. I think it's the general use of the term AI. I feel like I've worked in it for about eight years now, and we've been using it since when I started working in it. And what we were doing back then was not even remotely close. The way that I have seen the understanding of the term AI shift has started as something that can either assist with or replicate a human action. That was kind of the foundation. I think we still use that foundation, But I think the difference between the approach of AGI versus that definition of AI is so ginormous that the old use of AI to me is kind of like, okay, it's process automation 98% of the time. And so that one's kind of. That one's kind of bugged me for years. Okay, so this was maybe my outlet for that. But. But in essence, that's. That's kind of the overrated trend is just the use of AI where. Where I don't think many companies are really doing what they say they're doing.
- [30:44]
A
I get it. I get it. Okay, what about the Most underrated tech or AI trend.
- [30:50]
B
Ooh, underrated. So I can selfishly say advancements in supply chain.
- [30:56]
A
Okay.
- [30:57]
B
But I truly, actually, genuinely think that. And sure, there's recency bias and bias because I work in it, but I can also say that confidently because I didn't work in IT before. And I've been really impressed at the things that are available here that just haven't really gone out to explode in the, in the market compared to other spaces like ambient scribing and healthcare in particular. Or there's a lot of AI applications that have took off in the defense industry is another example. I think supply chain is the world doesn't work if we don't get things from one place to another, period. We saw that five years ago in that little time we called Covid. And you know, I remember I was living in Newport beach at the time, looking at a ship off the coast, trying to go into the Long beach port and it sat there for three months. And the only reason I know this is one of the ships had a bunch of Samsung washers because one of my friends worked for Samsung and told me she's waiting on that to get in. And so, you know, supply chain, if it's disrupted, our lives are flipped upside down. So. So, you know, I think the advancements in it, number one, are deeply needed. Number two, they're far more here now than I think people even realize. And we need to, we need to have those systems in place in case we are disrupted again.
- [32:25]
A
Yep, yep. No, absolutely. So what's one book everyone should read about the future?
- [32:31]
B
Yeah. So, you know, with all the talk of AI and you know, how times have changed so rapidly, especially, you know, in the last last five years, I would. It's not really a book about the future, but I think what we've learned is our ability to adapt is probably at its highest required level, I don't know, maybe in human history soon. But I think our ability to adapt is ultimately the most important because the way that we look at jobs, the way that we look at day to day life and what we do, it's going to keep changing, it's going to keep getting more automated. And so we have to think differently in general. And so one of the books I love is actually. Do you ever see a show mythbusters back in the day?
- [33:24]
A
I have heard of it, but I did not watch it.
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B
Okay. So one of the main guys on the show, his name was Adam Savage and he wrote a book called Every Tool's a Hammer. Oh yeah. And it's a little bit of a lifebook. But I also think it, you know, the title speaks for itself. It speaks to adaptability. It speaks to understanding what's at your disposal and how to get through the day, how to get through what you need to do. And I think that mindset is very, very important. You know, I think I saw a statistic a lot of. It's one of the highest percentages of recent graduates from universities. Unemployment is super high. And I think it's because they're in this weird position of, okay, where do I need to put my focus on? Because clearly the job market has shifted and clearly what people are looking for is totally different than what probably 98% of these professors are teaching people to look out for. And so, you know, I think being able to adapt and being able to understand where to get your foot in the door and how to be able to take what comes at you in stride is really important.
- [34:29]
A
All right, awesome. What is scare us. What's your biggest, boldest prediction?
- [34:35]
B
Yeah, so I think we're going to learn a lot more about what already exists in AI over the next five years. And I think that we don't know a lot of it yet. My boldest, I guess, prediction is that there's already more here than we know.
- [34:54]
A
Okay.
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B
And so I think, so I think it's going to be very interesting to watch either I would imagine a delicate or maybe indelicate rollout of what AI is really capable of. And I think the advancements and to kind of think about most sci fi horror movies is all of the human robot types of things that have come out in the last two years are significantly better than they were at Boston Scientific in those videos like 10 years ago. So they've made a lot of progress. So I think that's kind of the area that I find the most intimidating personally. But I just think that the overall capabilities of AI, there's a lot more capability that is here. And I just don't think we fully know about it. And so that's kind of my bold take. I do not have insider information to confirm that that is real for my own disclaimer, but I will say I have a hunch.
- [35:57]
A
Okay, got it. No, that makes. And that's the point. It's your opinion on what you think the biggest and boldest are. So that's great. Well, Colin, I am so enjoying this conversation. I tell you, like I said, as someone who has gotten procedures before and really depend on all these physicians and medical practitioners to really know what they need to do, but to have the supplies that they need to make sure that we stay healthy and have successful procedures and healing is important. So thank you to you and to the Clarium team for all that you're doing and for giving us another example of how AI is powering the world. So what's the best way for people to get in contact with you? I know you said Clariumhealth.com is the website if people want to know more about the company itself, but how can people get in contact with you? And what are the social media handles for Clarium and your handles as well?
- [36:48]
B
Yeah, I'm super active on LinkedIn, so Kylan Bailey on LinkedIn. I don't know if there's another Kylan Bailey out there, so if you do find another one, let me know. But yeah, so definitely connect with me on LinkedIn. Kylan clariumhealth.com if you want to send me a note directly, I'm totally fine with that as well. But yeah, I'm usually pretty active in both of those things, so always happy to engage with people even. Even if you're not in the healthcare space and just curious to learn more.
- [37:19]
A
Awesome. That's amazing. Well, again, thank you so much. And to everyone who listened, I know you learned a lot. And remember, until next time, lead with AI. Thanks for tuning in to Lead with AI. I'll see you next time as we continue exploring the cutting edge innovations shaping AI across the public and private sectors. Until then, keep leading with AI.