1 00:00:00,080 --> 00:00:01,620 This is Scott Becker 2 00:00:02,080 --> 00:00:04,019 with the Beckers Healthcare Podcast. 3 00:00:04,639 --> 00:00:06,480 I'm thrilled today to be joined by a 4 00:00:06,480 --> 00:00:08,259 brilliant healthcare founder. 5 00:00:08,960 --> 00:00:12,000 We're joined today by Eric Martin, and Eric's 6 00:00:12,000 --> 00:00:14,660 the founder and the CEO of AgenTic Healthcare. 7 00:00:15,035 --> 00:00:16,635 He's gonna talk to say about what they're 8 00:00:16,635 --> 00:00:18,335 doing, what they're trying to solve, 9 00:00:18,635 --> 00:00:20,814 the trends he's watching, and a lot more. 10 00:00:21,114 --> 00:00:22,954 Eric, I know you've had a a a 11 00:00:22,954 --> 00:00:23,454 spectacular 12 00:00:23,835 --> 00:00:25,594 career. Can you tell us a little bit 13 00:00:25,594 --> 00:00:27,134 about yourself, your background, 14 00:00:27,675 --> 00:00:29,375 as well as AgenTic Healthcare? 15 00:00:30,429 --> 00:00:32,590 Yeah. Thank you so much, Scott. Really appreciate 16 00:00:32,590 --> 00:00:33,729 you having me on, 17 00:00:34,109 --> 00:00:36,429 and I appreciate all of the, folks that 18 00:00:36,429 --> 00:00:38,369 are, are tuning in. So, 19 00:00:39,310 --> 00:00:40,450 I am a lifetime, 20 00:00:41,149 --> 00:00:44,850 health care guy spanning large academic health systems, 21 00:00:45,585 --> 00:00:46,965 large physician organization, 22 00:00:48,145 --> 00:00:50,164 private equity backed health care companies, 23 00:00:50,625 --> 00:00:52,225 and I've been a part of two different, 24 00:00:52,545 --> 00:00:54,965 health tech venture capital funds. 25 00:00:55,825 --> 00:00:57,604 I will tell you that I was a 26 00:00:58,100 --> 00:01:01,299 very happy, health tech venture capitalist, and I 27 00:01:01,299 --> 00:01:02,739 thought I would be doing that for the 28 00:01:02,739 --> 00:01:06,040 rest of my professional life. But this opportunity 29 00:01:06,340 --> 00:01:06,840 emerged, 30 00:01:07,140 --> 00:01:08,500 and I think, you know, there are these 31 00:01:08,500 --> 00:01:09,799 moments in time where 32 00:01:10,555 --> 00:01:12,415 we kind of get the chills professionally. 33 00:01:12,954 --> 00:01:14,954 And this was one of those times, and 34 00:01:14,954 --> 00:01:16,015 I couldn't not 35 00:01:16,474 --> 00:01:17,594 step in and, 36 00:01:18,474 --> 00:01:21,134 and take advantage of the, of the opportunity. 37 00:01:21,275 --> 00:01:21,775 So, 38 00:01:22,234 --> 00:01:24,099 I'll give you a little bit of that 39 00:01:24,099 --> 00:01:26,420 background. But first, I will say that during 40 00:01:26,420 --> 00:01:28,280 the course of my professional career, 41 00:01:28,659 --> 00:01:30,739 I would say the most important work that 42 00:01:30,739 --> 00:01:31,479 I've done 43 00:01:31,859 --> 00:01:33,560 is being kind of the unofficial 44 00:01:34,019 --> 00:01:35,239 health care navigator 45 00:01:35,540 --> 00:01:36,040 concierge 46 00:01:36,659 --> 00:01:38,759 for thousands and thousands of patients 47 00:01:39,165 --> 00:01:40,064 and families. 48 00:01:40,844 --> 00:01:43,245 Whether I was doing that on behalf of 49 00:01:43,245 --> 00:01:44,465 some provider organization 50 00:01:45,245 --> 00:01:47,564 or simply as a private resource for people 51 00:01:47,564 --> 00:01:49,825 that have had access to me, 52 00:01:50,204 --> 00:01:52,145 yeah, I really came to appreciate 53 00:01:52,525 --> 00:01:53,185 the unbelievable 54 00:01:54,045 --> 00:01:55,105 complexity and 55 00:01:55,700 --> 00:01:58,500 fragmentation and and often frustration of dealing with 56 00:01:58,500 --> 00:01:59,799 The US health care system. 57 00:02:00,260 --> 00:02:02,200 And that's very much kind of the backdrop 58 00:02:02,579 --> 00:02:05,219 for what we are doing at, AgenTic Health 59 00:02:05,219 --> 00:02:06,439 Care. So 60 00:02:07,060 --> 00:02:09,375 a little bit about us. Let's just say 61 00:02:09,375 --> 00:02:10,675 we're a very unusual 62 00:02:10,974 --> 00:02:11,955 start up company. 63 00:02:12,574 --> 00:02:13,634 We have been 64 00:02:14,655 --> 00:02:15,155 quietly 65 00:02:15,775 --> 00:02:16,275 building 66 00:02:16,735 --> 00:02:19,235 some pretty serious deep tech, 67 00:02:19,694 --> 00:02:20,675 and acquiring 68 00:02:21,055 --> 00:02:23,455 the assets of other companies over the course 69 00:02:23,455 --> 00:02:25,009 of the last eighteen months. 70 00:02:25,870 --> 00:02:26,689 It all started, 71 00:02:27,150 --> 00:02:28,689 back, with a meeting 72 00:02:29,150 --> 00:02:30,930 I was having up at NVIDIA 73 00:02:31,310 --> 00:02:31,810 headquarters, 74 00:02:32,590 --> 00:02:33,729 and I had the pleasure, 75 00:02:34,030 --> 00:02:35,709 and I will tell you this is close 76 00:02:35,709 --> 00:02:36,930 to eighteen months ago. 77 00:02:37,495 --> 00:02:39,675 I hardly knew what the word agentic 78 00:02:39,974 --> 00:02:41,594 meant at that time. 79 00:02:42,135 --> 00:02:42,635 NVIDIA 80 00:02:43,575 --> 00:02:45,335 gave me a little bit of a behind 81 00:02:45,335 --> 00:02:48,395 the scenes of what they were investing in 82 00:02:48,775 --> 00:02:50,075 and what was possible 83 00:02:50,455 --> 00:02:51,835 in the realm of building 84 00:02:52,135 --> 00:02:52,955 AI agents 85 00:02:53,460 --> 00:02:54,439 that would support 86 00:02:54,740 --> 00:02:57,879 enterprise players in health care, health systems, 87 00:02:58,740 --> 00:02:59,719 physician organizations, 88 00:03:00,020 --> 00:03:03,319 health insurance companies, and the like, driving efficiency, 89 00:03:03,540 --> 00:03:05,000 dealing with labor gaps, 90 00:03:05,395 --> 00:03:08,194 and I do believe truly hoping to improve 91 00:03:08,194 --> 00:03:09,254 the patient experience. 92 00:03:10,115 --> 00:03:12,534 And in that session we had together, 93 00:03:13,634 --> 00:03:15,895 we asked a question, what would it take 94 00:03:16,115 --> 00:03:18,294 to bring that same level of AI 95 00:03:18,754 --> 00:03:19,254 power 96 00:03:20,189 --> 00:03:22,349 and put that into the hands of patients 97 00:03:22,349 --> 00:03:23,009 and families. 98 00:03:23,550 --> 00:03:25,489 Let them optimize the system 99 00:03:25,949 --> 00:03:28,050 to their benefit, kind of put a wrapper 100 00:03:28,110 --> 00:03:30,269 around all the component parts that make up 101 00:03:30,269 --> 00:03:31,729 The US health care system 102 00:03:33,254 --> 00:03:35,115 and create an army of agents 103 00:03:35,574 --> 00:03:37,354 that could represent those patients, 104 00:03:37,814 --> 00:03:40,134 get work done on their behalf, not just 105 00:03:40,134 --> 00:03:43,194 provide recommendations, but actually do the work, 106 00:03:43,655 --> 00:03:45,990 wait on hold for that representative at the 107 00:03:45,990 --> 00:03:49,290 health plan, help navigate to the appropriate specialist 108 00:03:49,750 --> 00:03:50,650 and the like. 109 00:03:51,030 --> 00:03:53,349 And let's just say that the group was 110 00:03:53,349 --> 00:03:55,129 excited about that vision, 111 00:03:55,750 --> 00:03:58,810 understood the complexity, the challenges, and the like, 112 00:03:59,424 --> 00:04:00,724 over the course of time. 113 00:04:01,185 --> 00:04:03,044 The group of people and organizations, 114 00:04:04,224 --> 00:04:07,104 that we were engaging in this conversation grew 115 00:04:07,104 --> 00:04:08,724 to include people from government, 116 00:04:09,344 --> 00:04:11,504 people from deep tech, and, of course, across 117 00:04:11,504 --> 00:04:12,644 the health care ecosystem. 118 00:04:13,650 --> 00:04:14,150 And, 119 00:04:14,610 --> 00:04:17,730 last year, we decided to incorporate Adjentic health 120 00:04:17,730 --> 00:04:20,370 care. We brought a very large engineering team 121 00:04:20,370 --> 00:04:20,870 together. 122 00:04:21,250 --> 00:04:23,889 And, again, we made, we made some some 123 00:04:23,889 --> 00:04:24,930 acquisitions that, 124 00:04:25,810 --> 00:04:26,475 make us 125 00:04:26,875 --> 00:04:28,574 quickly a vertically integrated 126 00:04:28,955 --> 00:04:29,455 organization. 127 00:04:30,714 --> 00:04:32,475 So that's amazing. And and just so the 128 00:04:32,475 --> 00:04:33,535 audience understands, 129 00:04:33,915 --> 00:04:35,694 yes, you've been a health care investor, 130 00:04:36,154 --> 00:04:38,314 but more than that, you've also worked at 131 00:04:38,314 --> 00:04:38,814 UCLA 132 00:04:39,569 --> 00:04:41,509 and several other health care institutions 133 00:04:42,050 --> 00:04:43,029 in direct 134 00:04:43,409 --> 00:04:44,629 in in in surgery 135 00:04:45,009 --> 00:04:47,009 partners as well. Talk a bit about your 136 00:04:47,009 --> 00:04:49,409 health care background too that weaves into what 137 00:04:49,409 --> 00:04:50,310 you're doing too. 138 00:04:51,169 --> 00:04:53,490 Absolutely. Happy to do that. So it goes 139 00:04:53,490 --> 00:04:55,785 back, quite a long way. I cut my 140 00:04:55,785 --> 00:04:58,345 teeth up at UC San Francisco, actually, in 141 00:04:58,345 --> 00:04:59,725 the managed care department 142 00:05:00,185 --> 00:05:02,285 and, really came to appreciate 143 00:05:02,745 --> 00:05:04,745 the good and the bad of, managed care 144 00:05:04,745 --> 00:05:07,564 and value based care initiatives, here in California 145 00:05:07,785 --> 00:05:08,579 where I'm based. 146 00:05:09,060 --> 00:05:10,839 Learned an incredible amount 147 00:05:11,220 --> 00:05:12,979 and, then spent a lot of time on 148 00:05:12,979 --> 00:05:14,519 the UCLA health campus. 149 00:05:15,379 --> 00:05:17,800 Again, more work in managed care, international 150 00:05:18,180 --> 00:05:18,680 medicine, 151 00:05:19,060 --> 00:05:21,219 and the like, and then eventually moved over 152 00:05:21,219 --> 00:05:22,120 to the cardiovascular 153 00:05:22,579 --> 00:05:23,079 program 154 00:05:23,745 --> 00:05:26,064 and had the great pleasure of working with 155 00:05:26,064 --> 00:05:28,305 what we referred to as the advanced heart 156 00:05:28,305 --> 00:05:30,944 team. So we ran the heart transplant, heart 157 00:05:30,944 --> 00:05:34,625 failure, mechanical circulatory support program, and we had 158 00:05:34,625 --> 00:05:35,285 a vision 159 00:05:36,689 --> 00:05:39,009 for building what would be the greatest heart 160 00:05:39,009 --> 00:05:41,810 institute in the Western United States. Not to 161 00:05:41,810 --> 00:05:44,870 offend any of my friends at at UCLA, 162 00:05:44,930 --> 00:05:46,870 and I still have many friends there. 163 00:05:47,250 --> 00:05:49,810 For whatever reason, that that vision was not 164 00:05:49,810 --> 00:05:52,175 able to be realized on that campus, 165 00:05:53,035 --> 00:05:54,735 but I was able to 166 00:05:55,194 --> 00:05:57,535 partner with my friends at Cedars Sinai 167 00:05:57,995 --> 00:06:00,475 and build the Heart Institute there. I was 168 00:06:00,475 --> 00:06:01,214 the inaugural 169 00:06:01,595 --> 00:06:04,235 executive director of the Heart Institute at Cedars 170 00:06:04,235 --> 00:06:04,735 Sinai, 171 00:06:05,149 --> 00:06:06,750 and they are now among the top two 172 00:06:06,750 --> 00:06:07,490 or three, 173 00:06:07,949 --> 00:06:09,710 in the nation and and very proud of 174 00:06:09,710 --> 00:06:11,410 the work that's done there clinically, 175 00:06:12,270 --> 00:06:14,270 in the research realm and and, of course, 176 00:06:14,270 --> 00:06:14,930 the teaching 177 00:06:15,310 --> 00:06:18,210 mission being supported as well and really jumped 178 00:06:18,270 --> 00:06:19,170 from there, 179 00:06:19,935 --> 00:06:22,014 into the private equity world to help turn 180 00:06:22,014 --> 00:06:24,574 around other health care systems, including the daughters 181 00:06:24,574 --> 00:06:25,235 of charity, 182 00:06:25,854 --> 00:06:28,014 and others and saw kind of the other 183 00:06:28,014 --> 00:06:29,534 side of medicine. I had been in the 184 00:06:29,534 --> 00:06:31,875 ivory tower academic institution, 185 00:06:32,279 --> 00:06:33,720 and now I was seeing what it was 186 00:06:33,720 --> 00:06:35,339 like out in community hospitals, 187 00:06:35,720 --> 00:06:36,939 safety net hospitals, 188 00:06:37,560 --> 00:06:38,060 FQHCs, 189 00:06:39,000 --> 00:06:41,319 you know, a very different type of of, 190 00:06:41,560 --> 00:06:42,379 care delivery, 191 00:06:43,639 --> 00:06:45,100 incredibly important work. 192 00:06:45,574 --> 00:06:47,495 But I think it gave me a really 193 00:06:47,495 --> 00:06:48,475 deep appreciation 194 00:06:48,935 --> 00:06:51,035 for the very different journeys 195 00:06:51,814 --> 00:06:53,834 that our patients and their families 196 00:06:54,134 --> 00:06:55,675 go on across 197 00:06:56,535 --> 00:06:59,595 systems, across geographies, across the socioeconomic 198 00:07:00,134 --> 00:07:00,634 spectrum. 199 00:07:01,379 --> 00:07:04,840 And when we started building agentic health care, 200 00:07:05,300 --> 00:07:08,280 a guiding principle for the team has been 201 00:07:08,660 --> 00:07:09,480 that this 202 00:07:09,939 --> 00:07:12,259 must work just as well for the rich 203 00:07:12,259 --> 00:07:14,920 folks that have access to enormous resources 204 00:07:15,654 --> 00:07:17,654 as much as it does for that single 205 00:07:17,654 --> 00:07:19,915 mom living in a poor neighborhood 206 00:07:20,615 --> 00:07:21,115 facing 207 00:07:21,654 --> 00:07:23,675 more complexity and more challenge 208 00:07:24,134 --> 00:07:26,375 than than, you know, most of us having 209 00:07:26,375 --> 00:07:29,354 this conversation have ever had to tackle. 210 00:07:29,814 --> 00:07:30,214 And, 211 00:07:31,349 --> 00:07:32,569 we're incredibly 212 00:07:33,269 --> 00:07:35,189 proud of the work we've done so far, 213 00:07:35,189 --> 00:07:36,329 and I will say 214 00:07:36,870 --> 00:07:37,370 publicly, 215 00:07:38,229 --> 00:07:40,469 long term, we are committed to making sure 216 00:07:40,469 --> 00:07:42,089 this is available to every 217 00:07:42,469 --> 00:07:44,969 single American, and it's something that we're working 218 00:07:45,235 --> 00:07:47,895 on with our our friends connected to government, 219 00:07:48,194 --> 00:07:48,935 as well. 220 00:07:50,275 --> 00:07:53,074 Thank you. Take a moment, Eric. What are 221 00:07:53,074 --> 00:07:55,395 you most focused on and excited about this 222 00:07:55,395 --> 00:07:55,895 year? 223 00:07:56,435 --> 00:07:58,514 A year or so or eighteen months after 224 00:07:58,514 --> 00:08:00,819 launch, were you most focused and excited this 225 00:08:00,819 --> 00:08:01,319 year? 226 00:08:02,180 --> 00:08:03,300 Yeah. You know, 227 00:08:04,980 --> 00:08:06,019 I will tell you that, 228 00:08:06,579 --> 00:08:08,579 you were just so proud of the team 229 00:08:08,579 --> 00:08:11,060 of of people and organizations that have come 230 00:08:11,060 --> 00:08:11,560 together 231 00:08:12,455 --> 00:08:12,955 around 232 00:08:13,335 --> 00:08:17,175 this, our ability to accelerate the development of 233 00:08:17,175 --> 00:08:18,375 this platform. We've been 234 00:08:19,175 --> 00:08:21,895 we were in this kind of euphoric bubble 235 00:08:21,895 --> 00:08:24,295 of stealth mode where most people didn't know 236 00:08:24,295 --> 00:08:26,134 what was going on. And and, Scott, I 237 00:08:26,134 --> 00:08:28,490 will tell you, this is the first time 238 00:08:28,490 --> 00:08:31,389 we're really speaking to a broad public audience 239 00:08:31,610 --> 00:08:33,769 about what we're doing. And the timing is 240 00:08:33,769 --> 00:08:34,269 perfect 241 00:08:34,970 --> 00:08:37,769 because we are, in fact, about to kick 242 00:08:37,769 --> 00:08:38,269 off 243 00:08:38,730 --> 00:08:40,509 with a large publicly traded 244 00:08:41,285 --> 00:08:43,785 company who will be giving this platform 245 00:08:44,805 --> 00:08:46,264 to their employees 246 00:08:46,805 --> 00:08:47,785 as a benefit. 247 00:08:48,325 --> 00:08:50,325 And not only is it a benefit to 248 00:08:50,325 --> 00:08:52,345 those individuals and their families, 249 00:08:52,805 --> 00:08:55,125 but you can imagine the, and I will 250 00:08:55,125 --> 00:08:55,625 say, 251 00:08:56,410 --> 00:08:59,210 appropriate insights that we can provide back to 252 00:08:59,210 --> 00:08:59,870 the organization 253 00:09:00,649 --> 00:09:03,309 to help them with plan design, benefit design, 254 00:09:03,769 --> 00:09:05,149 really drive efficiency, 255 00:09:06,009 --> 00:09:06,509 and 256 00:09:08,144 --> 00:09:12,004 create a workforce that's more engaged, healthier, 257 00:09:13,105 --> 00:09:16,144 and, and I think cared for in a 258 00:09:16,144 --> 00:09:17,685 way that they haven't been, 259 00:09:18,065 --> 00:09:19,445 before. So incredibly 260 00:09:20,330 --> 00:09:22,669 excited about that. I think we're very fortunate 261 00:09:22,809 --> 00:09:24,350 that the stars are aligning 262 00:09:24,730 --> 00:09:27,529 from a policy standpoint, from what we're seeing 263 00:09:27,529 --> 00:09:29,870 from other kind of big tech companies 264 00:09:30,410 --> 00:09:33,230 in putting a spotlight on consumer 265 00:09:33,529 --> 00:09:34,750 driven health care. 266 00:09:35,205 --> 00:09:37,524 We've talked about it for many, many, many, 267 00:09:37,524 --> 00:09:40,004 many years. I think there have been small 268 00:09:40,004 --> 00:09:40,504 examples 269 00:09:41,045 --> 00:09:42,665 of success here and there, 270 00:09:43,125 --> 00:09:45,445 but it's never come together. We've never had 271 00:09:45,445 --> 00:09:46,184 the technology 272 00:09:46,965 --> 00:09:47,945 at our disposal 273 00:09:48,259 --> 00:09:50,019 to really do this at scale, and I 274 00:09:50,019 --> 00:09:51,399 think we're finally there. 275 00:09:52,500 --> 00:09:55,299 Thank you. Take a second, Eric. You've been 276 00:09:55,299 --> 00:09:57,379 both an investor, but you've also been an 277 00:09:57,379 --> 00:09:58,820 operator in health care and a leader in 278 00:09:58,820 --> 00:09:59,480 health care. 279 00:10:00,100 --> 00:10:02,355 What what advice would you give to emerging 280 00:10:02,355 --> 00:10:03,955 leaders in health care as to how to 281 00:10:03,955 --> 00:10:05,495 deal with artificial intelligence 282 00:10:05,955 --> 00:10:07,335 and how to embrace it? 283 00:10:08,674 --> 00:10:10,514 Fantastic question and, 284 00:10:10,835 --> 00:10:14,134 something I've been spending my time speaking about 285 00:10:14,274 --> 00:10:17,254 really across the country with health system leaders, 286 00:10:17,440 --> 00:10:18,420 health plan leaders, 287 00:10:18,879 --> 00:10:19,759 and the like. 288 00:10:20,480 --> 00:10:21,379 First and foremost, 289 00:10:22,639 --> 00:10:25,120 you gotta keep the patient experience at the 290 00:10:25,120 --> 00:10:27,139 center of strategic decision. 291 00:10:27,920 --> 00:10:30,320 I think some of us, me included, have 292 00:10:30,320 --> 00:10:30,980 the luxury 293 00:10:31,680 --> 00:10:32,180 of 294 00:10:33,215 --> 00:10:35,774 having that be somewhat secondary as we tried 295 00:10:35,774 --> 00:10:38,575 to make sure that we, you know, improved 296 00:10:38,575 --> 00:10:41,055 margin and kept the doors open and made 297 00:10:41,055 --> 00:10:43,375 sure that our programs could continue to build 298 00:10:43,375 --> 00:10:46,035 and whatnot. And we counted on the frontline 299 00:10:46,600 --> 00:10:49,820 teams, the physicians, the nurses, the administrative folks 300 00:10:50,200 --> 00:10:51,659 to really deliver great 301 00:10:52,039 --> 00:10:54,279 patient care down at the front lines. I 302 00:10:54,279 --> 00:10:56,360 think now we really have to think about, 303 00:10:56,360 --> 00:10:58,059 from an infrastructure standpoint, 304 00:10:58,715 --> 00:11:00,794 how we change what we do. And a 305 00:11:00,794 --> 00:11:02,095 part of that requires 306 00:11:03,115 --> 00:11:03,615 leaders, 307 00:11:03,995 --> 00:11:05,934 again, provider and payer, 308 00:11:06,475 --> 00:11:08,575 to challenge some legacy assumptions 309 00:11:09,115 --> 00:11:12,495 that were developed during this pre AI era. 310 00:11:13,035 --> 00:11:14,014 I have been, 311 00:11:14,759 --> 00:11:16,059 I guess, not surprised, 312 00:11:16,840 --> 00:11:18,220 but I'm a little fearful 313 00:11:18,679 --> 00:11:21,179 of what I'm seeing around the country, folks 314 00:11:21,480 --> 00:11:23,259 not fully appreciating 315 00:11:24,040 --> 00:11:25,019 what's coming. 316 00:11:26,120 --> 00:11:28,220 The power of these AI technologies, 317 00:11:30,144 --> 00:11:31,524 is so transformational. 318 00:11:31,985 --> 00:11:34,485 I I just don't think that many organizations 319 00:11:35,345 --> 00:11:36,485 are fully prepared. 320 00:11:37,024 --> 00:11:39,924 And I, you know, I I beg these 321 00:11:40,065 --> 00:11:42,625 these folks to make the investment, bring the 322 00:11:42,625 --> 00:11:43,845 right people and organizations 323 00:11:45,179 --> 00:11:48,220 together as partners, embrace those partnerships. And some 324 00:11:48,220 --> 00:11:50,220 of those partners are gonna seem maybe a 325 00:11:50,220 --> 00:11:51,820 little bit out of the box based on 326 00:11:51,820 --> 00:11:53,840 what we used to do historically 327 00:11:54,379 --> 00:11:55,840 operating these health systems. 328 00:11:57,475 --> 00:12:00,274 But you you gotta become educated, and you 329 00:12:00,274 --> 00:12:02,534 have to bring people and organizations 330 00:12:02,835 --> 00:12:03,894 in who are focused 331 00:12:04,274 --> 00:12:06,375 on delivering the kinds of outcomes 332 00:12:06,754 --> 00:12:08,514 that are going to set up your health 333 00:12:08,514 --> 00:12:11,370 system or your health plan for long term 334 00:12:11,370 --> 00:12:13,309 success. I think those that don't, 335 00:12:13,690 --> 00:12:15,149 are gonna be in some trouble. 336 00:12:16,809 --> 00:12:18,829 Thank you. And and and what does that 337 00:12:19,289 --> 00:12:21,309 look like? Would where do you see the 338 00:12:21,850 --> 00:12:24,029 cascading use cases in AI? 339 00:12:24,424 --> 00:12:26,504 Like, obviously, we're seeing it on the ambient 340 00:12:26,504 --> 00:12:28,924 listening side. We're seeing it on particular analytics. 341 00:12:29,304 --> 00:12:31,004 We're seeing it in revenue cycle. 342 00:12:31,464 --> 00:12:32,924 We're seeing it in a lot of places. 343 00:12:33,865 --> 00:12:36,125 Are there places where you see it transforming 344 00:12:37,230 --> 00:12:37,730 clinical 345 00:12:38,350 --> 00:12:39,870 care, and and where might be some of 346 00:12:39,870 --> 00:12:41,970 those use cases that you expect to see? 347 00:12:43,629 --> 00:12:46,589 Absolutely. And and you've highlighted, you know, the 348 00:12:46,589 --> 00:12:47,490 the first 349 00:12:48,110 --> 00:12:48,610 and 350 00:12:48,990 --> 00:12:51,950 maybe most obvious use cases that have been 351 00:12:51,950 --> 00:12:52,450 embraced. 352 00:12:53,205 --> 00:12:55,445 We already have some good feedback from the 353 00:12:55,445 --> 00:12:57,764 industry on ambient listening and what that means. 354 00:12:57,764 --> 00:12:58,904 Certainly, RCM 355 00:12:59,365 --> 00:13:00,904 always the first department 356 00:13:01,445 --> 00:13:03,764 to take advantage of of new tech because 357 00:13:03,764 --> 00:13:05,465 it's the lifeblood of these organizations. 358 00:13:07,200 --> 00:13:10,019 There is going to be a a growing, 359 00:13:10,559 --> 00:13:11,620 I think, recognition 360 00:13:12,639 --> 00:13:13,779 of what happens 361 00:13:14,480 --> 00:13:16,740 kind of in between the enterprise 362 00:13:17,120 --> 00:13:18,259 representing AI 363 00:13:18,804 --> 00:13:19,625 and the consumer 364 00:13:19,925 --> 00:13:21,144 representing AI. 365 00:13:21,684 --> 00:13:24,184 And there is a certain amount of magic 366 00:13:24,485 --> 00:13:26,904 that can happen when those two 367 00:13:27,925 --> 00:13:28,425 platforms 368 00:13:29,285 --> 00:13:31,384 interact with each other in a coordinated, 369 00:13:32,470 --> 00:13:34,169 in a fine tuned fashion. 370 00:13:35,029 --> 00:13:36,629 I'll give you an example. I I can't 371 00:13:36,629 --> 00:13:38,789 provide too many details, but we were speaking 372 00:13:38,789 --> 00:13:39,850 with a particular, 373 00:13:40,950 --> 00:13:42,409 you know, government 374 00:13:43,029 --> 00:13:44,169 health program, 375 00:13:45,350 --> 00:13:48,009 and we talked about what it meant 376 00:13:48,605 --> 00:13:50,144 for a patient representing 377 00:13:50,684 --> 00:13:51,504 AI agent 378 00:13:51,964 --> 00:13:54,125 to reach out with a request, whether that 379 00:13:54,125 --> 00:13:56,684 was to schedule an appointment, a question about 380 00:13:56,684 --> 00:13:57,184 benefits, 381 00:13:57,725 --> 00:13:59,644 to find out how they can get their 382 00:13:59,644 --> 00:14:01,824 prescribed medication approved or whatnot. 383 00:14:02,730 --> 00:14:05,709 And if the enterprise, that program had 384 00:14:06,409 --> 00:14:08,909 appropriate kind of AI on the other side, 385 00:14:09,610 --> 00:14:11,389 not only can the task 386 00:14:11,850 --> 00:14:13,149 get taken care of 387 00:14:13,529 --> 00:14:15,690 very, very quickly, I think there's a lot 388 00:14:15,690 --> 00:14:17,985 of talk about in the tech world what 389 00:14:17,985 --> 00:14:20,865 we refer to as AI agent to AI 390 00:14:20,865 --> 00:14:22,004 agent protocol. 391 00:14:22,384 --> 00:14:24,304 That when these AI agents meet in the 392 00:14:24,304 --> 00:14:24,804 cloud, 393 00:14:25,184 --> 00:14:27,345 they will understand each other and and be 394 00:14:27,345 --> 00:14:28,485 very, very efficient. 395 00:14:29,659 --> 00:14:31,500 In health care, we're taking it a step 396 00:14:31,500 --> 00:14:33,500 further, and this is a part of what 397 00:14:33,500 --> 00:14:36,220 we're building our platform around. And that is 398 00:14:36,220 --> 00:14:38,879 when, let's say, miss Jones reaches out 399 00:14:39,419 --> 00:14:40,799 to her health system, 400 00:14:41,274 --> 00:14:43,434 And the health system says, oh, we understand 401 00:14:43,434 --> 00:14:45,434 in the moment that miss Jones needs to 402 00:14:45,434 --> 00:14:47,134 have something taken care of. 403 00:14:47,514 --> 00:14:49,914 But that's the same miss Jones who we've 404 00:14:49,914 --> 00:14:51,214 been reaching out to 405 00:14:51,514 --> 00:14:53,914 to talk about her medication adherence, the fact 406 00:14:53,914 --> 00:14:55,615 that she's got an overdue colonoscopy, 407 00:14:56,480 --> 00:14:58,420 the fact that maybe she's got an outstanding 408 00:14:58,559 --> 00:14:59,059 claim. 409 00:14:59,680 --> 00:15:02,100 And there is an opportunity in this moment 410 00:15:02,320 --> 00:15:04,879 when you have these AI representatives, what we 411 00:15:04,879 --> 00:15:07,779 refer to, by the way, as AI advocates, 412 00:15:08,480 --> 00:15:09,779 representing that patient. 413 00:15:10,194 --> 00:15:13,014 That information can be passed from the enterprise 414 00:15:14,034 --> 00:15:14,855 to the patient 415 00:15:15,315 --> 00:15:17,174 in a way that can be translated, 416 00:15:17,554 --> 00:15:20,674 organized, presented at the right time at a 417 00:15:20,674 --> 00:15:22,855 time when we know that patient is engaged, 418 00:15:23,620 --> 00:15:26,100 and the value that can be driven through 419 00:15:26,100 --> 00:15:27,320 that kind of interaction 420 00:15:28,019 --> 00:15:31,059 is incredibly powerful. We've been testing this, again, 421 00:15:31,059 --> 00:15:33,000 somewhat quietly behind the scenes 422 00:15:33,300 --> 00:15:34,600 with small cohorts, 423 00:15:35,379 --> 00:15:36,440 and the 424 00:15:37,024 --> 00:15:40,065 feedback has just been remarkable on both sides 425 00:15:40,065 --> 00:15:40,884 of the house. 426 00:15:41,504 --> 00:15:44,085 So to answer your question more directly, 427 00:15:44,945 --> 00:15:45,684 these institutions 428 00:15:45,985 --> 00:15:47,205 need to move beyond 429 00:15:47,745 --> 00:15:48,725 kind of the individual 430 00:15:49,105 --> 00:15:52,909 functions of ambient listening and some RCM solutions 431 00:15:53,049 --> 00:15:55,870 and really start looking about being a participant 432 00:15:56,809 --> 00:15:58,809 in this, what I refer to as this 433 00:15:58,809 --> 00:15:59,789 action layer 434 00:16:00,169 --> 00:16:02,590 that is now going to kind of wrap 435 00:16:02,795 --> 00:16:05,835 the legacy systems that we've historically been interacting 436 00:16:05,835 --> 00:16:08,875 with as health system leaders, as health plan 437 00:16:08,875 --> 00:16:10,095 leaders, as employers, 438 00:16:10,555 --> 00:16:11,455 and the like. 439 00:16:12,475 --> 00:16:12,975 Fantastic. 440 00:16:13,514 --> 00:16:15,774 Eric, again, AgenTic Healthcare. 441 00:16:16,320 --> 00:16:17,519 Tell me the exact name of the company. 442 00:16:17,519 --> 00:16:19,139 Do I have that right, AgenTic Healthcare? 443 00:16:19,519 --> 00:16:22,399 You have said it, perfectly. And, again, we're 444 00:16:22,399 --> 00:16:23,779 a little bit of an unusual 445 00:16:24,480 --> 00:16:26,340 young company. AgenTic Healthcare 446 00:16:26,879 --> 00:16:29,059 is the parent organization we created. 447 00:16:30,035 --> 00:16:31,415 The patient representing 448 00:16:32,355 --> 00:16:36,455 AI agent platform is actually called Teleport Health, 449 00:16:36,754 --> 00:16:38,855 and that is what we are initially launching 450 00:16:38,915 --> 00:16:41,894 with a series of large employers. 451 00:16:42,355 --> 00:16:44,434 And, ultimately, we'll get this out to all 452 00:16:44,434 --> 00:16:44,934 consumers. 453 00:16:45,509 --> 00:16:47,210 And then we've made acquisitions 454 00:16:47,750 --> 00:16:48,970 of two other companies, 455 00:16:49,509 --> 00:16:50,570 one called Cellfy, 456 00:16:51,110 --> 00:16:52,170 one called TripleBlind. 457 00:16:53,190 --> 00:16:53,690 Cellfy 458 00:16:54,149 --> 00:16:55,690 actually has technology 459 00:16:56,309 --> 00:16:58,790 that lives behind the firewalls of many of 460 00:16:58,790 --> 00:17:00,490 the health information exchanges 461 00:17:00,934 --> 00:17:03,414 in The United States and is the creator 462 00:17:03,414 --> 00:17:04,714 of the Cures Gateway, 463 00:17:05,255 --> 00:17:07,914 named after the twenty first century Cures Act, 464 00:17:08,294 --> 00:17:10,474 giving patients the right to claim 465 00:17:11,095 --> 00:17:14,154 their longitudinal health record. And you can imagine 466 00:17:14,214 --> 00:17:16,380 if we have the ability to bring in 467 00:17:16,460 --> 00:17:19,019 the longitudinal health record for every one of 468 00:17:19,019 --> 00:17:20,960 our members, for every one of our patients, 469 00:17:22,299 --> 00:17:24,319 the ability for the AI 470 00:17:25,339 --> 00:17:25,839 advocate 471 00:17:26,220 --> 00:17:29,339 to be proactive to optimize things on behalf 472 00:17:29,339 --> 00:17:30,079 of the patient, 473 00:17:30,779 --> 00:17:31,599 is supercharged. 474 00:17:32,355 --> 00:17:34,275 So we were really excited to be able 475 00:17:34,275 --> 00:17:35,494 to make that acquisition. 476 00:17:35,954 --> 00:17:38,434 And then triple blind, I won't spend too 477 00:17:38,434 --> 00:17:40,855 much time on. It's a deep tech encryption 478 00:17:40,994 --> 00:17:42,855 technology that provides privacy 479 00:17:43,714 --> 00:17:47,390 beyond HIPAA. We it allows for multiparty compute 480 00:17:47,929 --> 00:17:50,190 without the need for traditional de identification 481 00:17:50,650 --> 00:17:53,309 with greater privacy, greater security, 482 00:17:54,169 --> 00:17:56,990 than seen before. And some very large institutions 483 00:17:57,210 --> 00:17:59,325 and the US government had been involved in, 484 00:17:59,565 --> 00:18:01,964 in its development. So, again, we were just 485 00:18:01,964 --> 00:18:04,125 incredibly fortunate to be in a position to 486 00:18:04,125 --> 00:18:04,625 bring 487 00:18:05,164 --> 00:18:08,845 those assets into Agenstic Healthcare, creating this vertical 488 00:18:08,845 --> 00:18:09,345 integration 489 00:18:09,724 --> 00:18:11,484 and getting us ready to do what we 490 00:18:11,484 --> 00:18:13,869 do at scale and do it in a 491 00:18:13,869 --> 00:18:14,690 safe fashion. 492 00:18:15,549 --> 00:18:18,589 Yeah. Absolutely fascinating. Eric, I wanna thank you 493 00:18:18,589 --> 00:18:20,349 for joining us today in the Becker's Healthcare 494 00:18:20,349 --> 00:18:20,849 podcast. 495 00:18:21,309 --> 00:18:21,809 Congratulations 496 00:18:22,269 --> 00:18:24,190 on what you're doing and continue good luck, 497 00:18:24,190 --> 00:18:26,130 and we're all sort of watching 498 00:18:26,684 --> 00:18:30,125 the cascading transformation of health care through AI, 499 00:18:30,125 --> 00:18:31,565 so it'll be fascinating to watch and keep 500 00:18:31,565 --> 00:18:33,484 an eye on. Thank you so much for 501 00:18:33,484 --> 00:18:34,304 joining us. 502 00:18:34,924 --> 00:18:37,005 Thank you so much, Scott, and really looking 503 00:18:37,005 --> 00:18:39,484 forward to interacting more with you and all 504 00:18:39,484 --> 00:18:41,351 of the folks that I know listen to 505 00:18:41,351 --> 00:18:43,591 your podcast. Those are the partners that are 506 00:18:43,591 --> 00:18:44,731 gonna make this happen. 507 00:18:45,031 --> 00:18:46,091 Thank you so much.