What's Up with Tech?
Tech Transformation with Evan Kirstel: A podcast exploring the latest trends and innovations in the tech industry, and how businesses can leverage them for growth, diving into the world of B2B, discussing strategies, trends, and sharing insights from industry leaders!
With over three decades in telecom and IT, I've mastered the art of transforming social media into a dynamic platform for audience engagement, community building, and establishing thought leadership. My approach isn't about personal brand promotion but about delivering educational and informative content to cultivate a sustainable, long-term business presence. I am the leading content creator in areas like Enterprise AI, UCaaS, CPaaS, CCaaS, Cloud, Telecom, 5G and more!
What's Up with Tech?
The Future of Cancer Treatment: From Hospital to Home with Dan Nardi
Interested in being a guest? Email us at admin@evankirstel.com
What happens when we take cancer care out of the sterile hospital environment and bring it into the comfort of patients' homes? Dan Nardi, CEO of Reimagined Care, is pioneering this transformative approach through a powerful combination of technology, AI, and human expertise.
Cancer patients spend roughly 98% of their treatment journey outside clinical settings, often feeling isolated and unsupported between appointments. Many "suffer in silence" rather than "bothering" their busy oncology teams with questions and concerns, while healthcare providers struggle with overwhelming workloads that extend well into their personal time. Reimagined Care bridges this gap by becoming a seamless extension of oncology clinics nationwide, from academic medical centers to community hospitals.
The magic happens through Remy, their AI-powered text messaging system that provides instant support without requiring patients to download yet another healthcare app. By designing for accessibility rather than complexity, they've achieved remarkable engagement across all age groups - with seniors surprisingly among their most active users. When issues require human expertise, Remy intelligently escalates to their virtual care center staffed by oncology-trained nurses, ensuring patients get the right level of care within minutes instead of days.
The results speak for themselves: a 30% overall reduction in emergency department visits, with seniors experiencing a stunning 64% decrease. By intercepting concerns when they're mild rather than crisis-level, they're not just improving quality of life but potentially saving lives. Meanwhile, oncologists report reclaiming precious hours previously spent answering portal messages, with some finally able to have dinner with their families "for the first time" since starting their positions.
As cancer treatments become increasingly personalized and home-based, this human-AI partnership model represents the future of care. Ready to reimagine what cancer treatment could look like? Visit ReimaginedCare.com or connect with Dan directly on LinkedIn to learn how you can be part of this healthcare revolution.
Crossing Borders is a podcast by Neema, a cross border payments platform that...
Listen on: Apple Podcasts Spotify
More at https://linktr.ee/EvanKirstel
Oh, hi everyone, and welcome to the Vera Health Conversations. I'm your host, irma Rastigaeva.
Speaker 2:And Evan Korostel here.
Speaker 1:Today we're diving into the future of cancer care with Dan Nardi, ceo of Reimagined Care. His company is taking cancer treatment out of the hospital and into patients' homes using tech, ai and a whole lot of humanity. We'll explore what that means for patients, providers and the healthcare system at large and right off the bat. I want to disclose my particular interest in this topic as a long-term patient advocate, including for patients with cancer as and myself as a cancer survivor, this could not be more interesting and important in my eyes.
Speaker 3:So, dan, welcome, welcome to the pod. Thank you so much for having me, irma, and thank you for sharing your story and all the work you do as an advocate Very important.
Speaker 1:Thank you, of course, and Dan, can we start by talking a little bit about your background, how you came to Reimagined Care and how do you show up in this world of cancer care? What's your backstory?
Speaker 3:Yeah, it's a great question. So I actually kind of lucked into healthcare a very long time ago. I was more on the technology side of it math and computer science and kind of ended up in the early days of electronic medical records. But more recently, the last 11 years or so, I've been very lucky to have the opportunity to be building businesses, so more on the startup and growth stage side of healthcare. And so you know, let's see, it was Livongo.
Speaker 3:So I joined early at early days of Livongo and helped build that from 13 employees up until the IPO and then more recently was COO at Karam Health, a two-sided marketplace for centers of excellence and employer benefits. And then the team at Reimagined Care came and found me as they were thinking about the next stage of growth and so I've been now on board for over two years and very excited for the impact we have. But you know, based on your question earlier, kind of a lot of healthcare startups or just healthcare in general end up, you either come from more of the clinical side or more of the technology side, and I'm from the latter general end up. You either come from more of the clinical side or more of the technology side.
Speaker 2:And I I'm from the latter. So Brilliant, and you talk about taking cancer care home. So, in simple terms, I mean, how do you change the way cancer patients get treated at home instead of or in addition to in the hospital?
Speaker 3:Yeah, so currently we. So we partner with oncology clinics around the country, so I think, from academic medical centers like City of Hope and Moffitt, to community hospitals, memorial Hermann and others, and then independent practices as well, and what we do is we become an extension of their care. So it's not necessarily the actual treatment that we're moving into the home, but we're there to help support them 24, 7, 365, really filling the gap. You know, for that, 97, 98% of the cancer journey that happens outside of the four walls of the clinic, right, like, like a lot of healthcare, oncologists and the clinical team. They're wonderful when the patients are there in person, in front of them, able to help support them, um, but, like a lot of healthcare, as soon as the patients walk out that door, we lose that ability to support them with real answers and high quality support. You know within seconds, and that's really what we provide. And so we become an extension of that cancer team and supporting patients all day.
Speaker 1:Wow, yeah, and as you basically alluded to, cancer care in general is a very complex, you know, issue and it involves a lot of moving parts. So one of the approaches you have is the virtual assistant called Remy, so my understanding is that it's just a text-based communication tool. So why did you go such a simple route instead of you know another, maybe app with a lot of bells and whistles?
Speaker 3:Yeah. So during the early days we did a lot of evaluation of you know which route did we want to go? You know, the app route, the text route, phone call route there's all different options and at the end of the day we chose text as the lowest barrier to entry. So the vast majority of the population has phones that are able to text nowadays and we chose that because we didn't want to have to deal with the complexities of apps with versioning and passwords and everything that goes along with that. That's a whole additional level of complexity that that brings for patients already going through a challenging time. And another reason is because a lot of cases were white labeled. So we actually offer that as our default implementation method is. Again, we don't want to introduce a new name, a new challenge, a new hurdle for patients going through an already challenging time. So we're interacting with patients on behalf of City of Hope, on behalf of Memorial Hermann and, from a patient experience, it just it helps be more seamless as an City of Hope on behalf of Memorial Hermann and, from a patient experience, it just helps be more seamless as an extension of their cancer team. So that was a but. It was a very important decision that we made early on Irma and I think that was an extremely beneficial one for what's played out.
Speaker 3:As we've talked with others that have created healthcare apps, we found that, yeah, they might get a lot of downloads but there's not a lot of engagement, there's not a lot of usage of those, whereas we actually have very high engagement. You know, high enrollment, high engagement. You know 90 plus percent even out three to six months at all. Age demographics that's the funny thing. So again, you know, initial default reaction is like oh, so some, yeah, it might work for the younger populations but maybe not for older populations. We actually see the 65 and older demographic is actually one of the most engaged. You know, when you get the four or five, six months out, um, they found that connectivity, they found that that outlet for quick answers, quick support, and so again, it's kind of proved out that decision that we made several years ago and we're really, really pleased with those engagement numbers Brilliant.
Speaker 2:And how do you decide how and when to make the switch from AI, from the chatbot, to a human being, and vice versa? That's a complex balancing act.
Speaker 3:Very complex, and that's the secret sauce, really, of what we do is the combination of technology with our amazing virtual care center, our team of remote oncology trained RNs and MAs, you know, because you can't just solve this problem with technology, just like we can't just solve this problem with throwing bodies at it either. Right, we've got this growing divide of supply and demand in healthcare in general, not only in cancer care, and so we have patients that are being diagnosed earlier and younger in life. We have treatments that have improved. That's a great thing, right? So that means patients are living longer on treatment. So you have this drastic increase in the demand of cancer care. On the supply side, we already have a shortage of oncologists. As we know, there's burnout. So, again, it's that combination of technology, you know, at the right moment, and we like to call Remy. Remy's like our little superhero, right? It's like our digital front door and it does a lot of the heavy lifting. You know, remy can resolve over 50%. We have thousands of interactions with patients every single month. Remy is resolving over 50% of them on its own right.
Speaker 3:So you talk about scalability. But for that other 50%, that's that thoughtful handoff at the right moment and because we've built in those right guardrails. Right. This isn't, you know, you're not talking to ChatGPT or Grok and all these generative AI agents, genetic agents. It's improving so quickly, right, and we're working towards that, but you can't let an agent like that lose on a patient population for cancer, let alone any part of healthcare, but especially for cancer. And so we've got the right guardrails around it and really supporting it. So, as we're working our patients through these pathways right clinical best practices and the pathways we've built, it knows, depending on the answers, when to bubble it up, when to escalate that to our care team. And again, because we have a team of MAs, rns and APPs, we can get it to the right person in the right moment.
Speaker 3:So think about kind of shortcutting that whole triage process so within seconds, a patient can be interacting with Remy. Within minutes we can have them connected to the right person, the right level of care if they need to talk to a human. When you compare that to the status quo right now for organizations, for clinics that are doing wonderful work, but if they're just not staffed appropriately, you know the default right now is you're going to call into, you know your oncologist, you know if it's evenings, weekends, middle of the day, you're going to get a voicemail. You know we appreciate your call. Thank you so much. We'll give you a call back. You'll receive a call back in 24 to 72 hours. That's the default we're hearing. Well, it's that, or what we can do is like you're actually talking to someone within seconds and minutes, like that's what we're helping to improve. Is that connective tissue between the patient back to the clinical team, all within seconds and minutes?
Speaker 1:Oh, I love that approach. This is, uh, this is really um hitting home Um about choosing the right partner. So obviously you work with some big names in healthcare. What do you look for in a partner, and can you give us some recent examples of successes? What really worked well? Perhaps what you've learned by working with different partners?
Speaker 3:Yeah, I think the important part is this is something we talk about internally a lot we're always learning, right. We're having a growth mindset, having a learning mindset right, we have to always be learning how we can be improving our product, how we can be improving our team, how we can be improving our own kind of personal impact on what we're doing every single day. So having a learning mentality is extremely important to us, you know, and so we've iterated now and launched with numerous health systems, all different shapes and sizes and different geographies, and every single time we learn something right. We learn like well, how, what can we take back from that experience? You know, most recently with Moffitt we've now been live for several months. Some of the early numbers with Moffitt are very impactful, right, and that's been extremely rewarding. And what we've learned a lot. If I think and go back, you know, two and a half, three years, to our very first client we launched you know we've learned so much since that timeframe and I think that's important.
Speaker 3:It's like every single one of these, because no cancer clinic, no oncologist is going to be the same and so we also have to have that adaptability to ensure because, again, our goal is not to come in and disrupt the status quo and tell you exactly how to take care of your patients. Our goal is to come in, understand your workflows, understand your escalation pathways and become that extension of that, so we're taking work off of your plate. I'm not here to tell you how to do your job any differently or any better. I'm here to, like, help you, support your patients at scale, and so that's really what what our focus is, and so every one of these implementations, we learn. Every patient interaction we learn. And how do we, how do we continue to better support our patients and better support our uh, our oncology partners?
Speaker 2:And speaking of supporting your partners, uh, staff burnout is a real problem in health care, and nowhere more so than oncology. Doctors, nurses really the entire care teams are stressed and overloaded for obvious reasons. How do you help them really breathe a little easier? What's been some of the feedback with partners? You help them really breathe a little easier.
Speaker 3:What's been some of the feedback with partners? Yeah, I'd say one of the things we do in some of our earliest conversations is I'll ask them, like all right, think, like, let's take a minute, just like pause and think about how many minutes, how many hours every day do you spend answering patients' questions, not in the clinic but like the ones that are calling back in or sending messages through the patient portals, answering questions, helping them, you know, remotely, through their symptoms and side effects and impacts, having questions about medication. Can I eat this, like everything? Right, I just had this happen. What does that mean? If you could take?
Speaker 3:And I asked him to really think about it and I kind of paused and I give him a couple minutes to start to add some numbers up for them and their care team, right, the nurses, the APPs, everyone on the staff. And then I say, all right, what if we could take 97% of that completely off your plate? What would you do with that time? Right? What would you do with that time, right, if we can avoid some of these patients? You know, because they do call in and you're so busy you can't get to them. They just show up unannounced and then you have to fit them in to the clinic. If we could take that off your plate, right, that's what we do, is we say, all right, if we can take that, what would you do with that time? Right? Would you be able to repurpose that at night Because, you know, some of that might have been pajama time and now you can actually spend time with your family?
Speaker 3:We have one on one of our earliest oncology partners at Memorial Hermann. You know we had quotes after the first couple of months. It's like I've actually gone home and had dinner with my family, you know, a couple of times this week for the first time since I started there, right? Or? This is the best program I've ever implemented since being here at Memorial Hermann. When you're hearing things like that, you realize that we're actually driving real impact, you know, for quality of life for these providers, because we're asking so much of them, and so that's what this program is. We designed it around patients, but the big part of this, a big benefit, really comes back to the treating oncologist and their care team, because we can take a large chunk of that work off of their plate and allow them to focus top of license, higher acuity patients that are there in front of them in the moment, and so that's how we really drive benefit back to the practices in many other ways, but that's a big one that we could talk about.
Speaker 1:Yeah, and that's, of course, goes a long way towards adoption. We talk about slow adoption of health technologies in the industry. We say, well, you know people are slow to change. But it's really comes back to the workflow. If what you're offering could provide benefits but doesn't fit into the existing workflow, there's just more burden on the providers, more burden on the clinics. So I just love your approach and I'm curious once you ask them, what would they do? Well, the answer is all different, or they kind of all converged into what life used to be like when the system wasn't so overburdened. I guess maybe you can address that. But I do have another question on measurement. So measuring what matters.
Speaker 1:You gave us some figures in terms of, you know, solving 50% of questions, kind of like, within the Ramy offering. What else? What other results do you track in terms of patient benefit? Do you have better patient outcomes that you can provide data for? Are you lowering costs in a way that could be measured? Are there fewer ER visits? You mentioned they might not show up to the doctor to ask a simple question, but what about ER visits and other metrics?
Speaker 3:Yeah, yeah, oh. We have all sorts of data. That's the best part about, you know, healthcare these days is we got so much data. It's, it's, it's. What do we do with it? Right, how do we track it? How do we narrow on the most important things?
Speaker 3:So you did touch on some of the really impactful ones, and so avoidable ED visits is absolutely one that that we track and we've proven this with a handful of our existing clients. We also did kind of a randomizer. We took 1,000 patients last year they're on the program at least six months across three different client sites, so different geographies, different client types, different cancer clinic types and we tracked them and we looked at their ED usage during that period while they were on reimagined care, compared to industry benchmarks both commercial and Medicare and Medicaid benchmarks and we saw a 30% reduction overall across that entire population. For those patients that were moderately and highly engaged in the program, we actually saw a 40% reduction in ED usage. And then the most impactful one is for patients 65 and older. You know I mentioned earlier highly engaged, right? So 65 and older population over that timeframe. We actually saw a 64% reduction in avoidable ED usage during that timeframe. So again, you talk about really impactful outcomes, those like that's a really avoidable ED one is, uh, is very important, um, uh, with one of our other clients, uh, you know, we actually attract this, um, uh, advanced cancer clinic that's like their urgent care, uh, for their patients. They kind of built an urgent care specifically for oncology, oncology, and we've actually seen the original goal is to have 10% or less visits back to that and we saw, you know that's actually around 1% right now, you know, for the reimagined care population versus their historical benchmark.
Speaker 3:So, again, big impact in helping to head off things. And the real reason behind that is because we're there, that 24, seven, right, I talked about that earlier. So patients have us at their fingertips. So when they're at a three, four or five and they start kind of like interacting with us, we can course correct gently and avoid things, whereas the status quo is a lot of patients will suffer in silence. Right, we hear a lot. I don't want to bother my oncologist, I don't want to bother the. Even if they could get in, you know, or could get a call in, they don't want to bother, whereas they feel a lot more comfortable interacting with Remy. So we can course correct at a three, four, you know, out of 10, as opposed to them waiting at home until they're in eight or nine out of 10. And then all of a sudden they can't get an answer and they you know Dr, google, or you know urgent care and so, or the ED, and so those are some.
Speaker 3:We're always looking to track cost reduction and so we have a couple active data efforts right now looking to track that Also, adherence to treatment.
Speaker 3:So if you think about same thing, if we're able to as patients, especially on oral oncolytics, right when they're at home, right, it's different when you have patients coming into the clinic for more regularly scheduled chemotherapy, they've got a captive audience. You got a nurse there you can kind of ask questions about. But now, with a rise in oral oncolytics, we're giving them some education, we're giving them a prescription and we're saying, okay, call us if you have problems, but we're there now we can help support them. So think about, you know, if we're able to get them their support again before they get to that escalation point, we're proving that we're allowing them to stay on treatment longer, which has better, longer term outcomes. So program's only been live now for three years but we have, you know, longer kind of outcomes we've been tracking towards and so year over year we'll be able to show more and more of this. So those are a couple of the initial kind of big, big hitter outcomes. But you know, like every good digital health company, we track all sorts of KPIs internally.
Speaker 2:Brilliant. Let's talk about AI and risk in patient care, and not specifically to reimagine care, but just generally. Ai is becoming so powerful. What happens when it makes mistakes or the wrong call or hallucinates? How do you think about accountability in this sense and how tech is involved in critical care decisions in general?
Speaker 3:Yeah, this is such an important question right now, evan. It is one that the broader healthcare delivery system is having to grapple with and will continue to have to grapple with for a little bit. But I sit back and I think about this. You know, before I come back to my thoughts on your specific question, like if we just think five years ago, 10 years ago, 25 years ago, when I first started getting in this space, and if we could like like have those 25 year like you know, go us, come to this place, it would like blow our minds, like what we're even talking about. So it's amazing the advancements that we've seen and and that's so exciting for the potential. But, to your point, it's not perfect. It's nowhere near perfect, right, and so it's all in how we use that technology, it's all in how we um set up the right guardrails, and so, you know, I think it's really, really important.
Speaker 3:I made the comment earlier about, like you know, patients like we'll go to to chat GPT, they'll go to Grok and Claude and they'll go to whatever their AI agent is of choice and they're going to ask questions. It's kind of replaced. I joked earlier about Dr Google, you know. Uh, ai has replaced that now and it's gotten really good. But it is a little bit scary, right. There are no guardrails when you just go ask on your own, no matter how many like, how well you prompt it, no matter how much you try and coach it and all of the input you give it, you're still going to have potential for hallucinations and other uh other concerns. And so what we have done internally, um, is be really rigid, right, so we're not just allowing a full, you know LLM, you know free for patients just to query at will, right, the LLM and our AI agent, remy is. It uses the artificial intelligence to like really interpret and understand the patient's intent. Once we've understood that, right, so it's asking really thoughtful questions, helping to like okay, now we're gonna put it. We're gonna help direct the patient into one of our predefined pathways, right, and so we've defined pathway ONS and NCCN guidelines on, you know, standard pathways for cancer treatment, and so we've built those into the right pathways, and so we're using Remy to walk a patient through it. We're not allowing Remy to do full like you know full responses on its own. You know agentic AI fully, and so that's an important step.
Speaker 3:Now what we want to be doing like the rest of you know, healthcare delivery, you know, in the coming years is being a lot like take more and more of those guardrails off as it becomes safer and safer.
Speaker 3:But we have to walk that right line, because it is ultimately our responsibility to ensure that Remy is giving the correct answers and not steering a patient, you know, in a wrong course. You know, even if it is well-intentioned and that's why I made the comment earlier about it's so important that you have to have the human in the loop, and that's where our VCC is such an amazing backstop, where it's that combination that is so impactful and allows us to drive a lot of the outcomes. We see there's plenty of tech-only solutions out there, but we've got to be really careful with those. I think it's going to be for a long time now. We're still always going to need a human in the loop. Even if you need fewer and fewer humans in the loop, you will still need it, and I think that's the magic balance that we've struck here with reimagining care.
Speaker 1:Sounds like a good plan. So, speaking of off looking five years ahead, jumping to 2030, what do you think cancer care in general will look like? More AI-driven decisions, more personalized plans, more at-home treatments or something completely different? Tell us personalized plans, more at-home treatments or something completely different.
Speaker 3:Tell us. Well, all of the above and then some, I think the yes, everything from like that's one of the biggest improvements over the last handful of years. Is that personalized treatment right? Because you know, irma, you made the comment earlier Cancer isn't just one condition, right, it's not a vanilla, it's not like we're doing a hip replacement here, right? Or even some fairly consistent right, right? Whereas cancer is like so many different variations of it, right, and it's like a combination of diseases, and so, you know, we can't just expect one size fits all treatments, and that's why this personalized medicine, um, and these treatment plans is is so impactful, and I'm just really excited to see this continue to evolve. And that's going to be where you know, the, the education back to treating oncologists, because it's moving so quickly that it's hard for the clinical teams to keep up, and so I think there's going to be some really exciting advancements. It's going to have to be some exciting advancements where you're able to use AI to. You know, in our case, we're supporting patients, but there's going to be also new opportunity, you know, growing, moving forward, where the AI is like helping the oncologist, right, understand, okay, I've got this patient looks like this, has this treatment, on this therapy you know all this other stuff Like then it's, like okay, now they should. Here's what we should be doing, and like it's just because it's evolving so quickly it's hard for the oncologist to keep up. So I think that's one Certainly moving towards the ability to have treatment in the home. Right, there's some infusions already happening in the home on certain scales. The REMS changes are allowing CAR-T now to be happening more in an outpatient setting. I would expect at some point seeing CAR-T and other therapies like that moving into the home, certainly more into the outpatient too. So I think there's going to be more of, you know, like, a lot of healthcare.
Speaker 3:Right, we built this system for decades around a clinic where we expected patients to come to us. Right, whereas even longer, well before that, what happened? The doctors had their bags and they would go out into the community. Doctors would go into the home. Right, that was how healthcare was delivered. We built these clinics. We asked everyone to come to us. It's now going to start reversing and it's not going to be going fully into the home. It's the right combination and that's going to be, I think, an important evolution over the next five years is, you know, how do you really, how do we all really determine, you know, the right modality of care in the right location of care for patients, depending on all the different factors that go into it. That's where AI is going to continue to be able to help us, because it's a data challenge, right Understanding and pattern matching and all these things. That's where I think we've got a real opportunity in the next five years to continue to evolve cancer care and also healthcare delivery as a whole.
Speaker 2:Brilliant. Well, so much opportunity and there's so many lessons to be learned from you and your experience and success. Maybe share a couple of those. We talked to so many health tech founders and physician entrepreneurs and digital health startups who are trying to change our healthcare system, and with some success, but more struggles along the way. Any lessons you've learned that might help them with their journeys?
Speaker 3:Yeah, I think I have lots of lessons. Oh, man One. I think it really comes down to the people, right? I think that's one big lesson is like, especially whether it be startup or growth stage or whatever, the companies are constantly evolving and so you have to make sure you've got the right people on the bus at the right time. And that's really important when you're an early stage startup, you only have a handful of people.
Speaker 3:Everyone's wearing a lot of different hats. It's a different personality, different profile that's going to really excel at that stage, those people that are amazing. When it's 5, 10, 15 people, they're probably going to be bored out of their mind. When it's a thousand person, company Right, and so vice versa, right, the people that you know really enjoy a narrowed swim lane and, like you know, I really get to focus on one thing and do it really well, like they'd be frustrated in early stage. So I think people is a big one as companies grow early stage. So I think people is a big one, um, as companies grow, I think we, we, um tend to get a little caught up in the like I, you know one team we're going to make it all the way through and that's not the case, so demystifying.
Speaker 3:That, I think, is extremely important. Um, so I put people in one bucket. Another one is, um, like you have to have humility right when you're in healthcare in general, like I've seen so many very talented well-meaning tech, only tech focus, consumer focus all these, like you know, talented people, no matter where they're from and they enter into healthcare and I think it would make a difference and that's great. But you also have to have humility and understand, like this healthcare system is not easy to understand. There was a interesting post and I forget who put it on. I saw on LinkedIn. It's like all right, someone made a comment like I think it's easier to learn healthcare than it is to learn technology, and I'm like, okay, well, not entirely sure I agree with all of that, but like you have to have that right balance, right.
Speaker 3:You know you can't come in and just like be a bull in the China shop thinking can fix everything. It just seems so easy. Like, understanding how health care currently runs, um is extremely, extremely important. And understand the players. Understand that if you come in as a startup, um, you're going to be moving someone's cheese, right, and so, if that's the case, you got to be ready for what's going to happen, right, and so what does that all look like? And and uh. So I think, just again, understanding the right combination of technology and health care as we're building these businesses is going to be extremely important. So those are two that kind of come to mind as far as like lessons you know from building businesses.
Speaker 1:That's great advice, dan, and hopefully people can maybe find you online or at conferences and learn more from you directly Connect with Reimagined Care. So, as we conclude here, how can people learn more and, you know, reach out.
Speaker 3:Yeah, absolutely so. We started ReimaginedCarecom. We also have a presence on LinkedIn and all the other socials and, yeah, we are on the conference circuit, as you'd expect. You kind of have to be to be able to get out there and continue to network. But, honestly, the easiest way, come find me. Come find me on, whether it be LinkedIn or whatever it is Just drop me a line, reach out. We're happy to connect with anyone that's trying to make an impact in health care, specifically cancer care, in the next couple of years, and whether it be job seekers or whether it be people that just have really great ideas and want to make an impact, love to network and really work with smart people to make a change.
Speaker 1:Oh, thank you so much, dan. Such great information and call to action here. So again, thank you so much for joining us Great story. And thank you so much for joining us, great story. And thank you everyone for listening and joining and sharing and being part of this community. So, with that, say goodbye.
Speaker 2:Thank you.
Speaker 3:Thanks everyone, thank you so much.