1 00:00:00,199 --> 00:00:02,120 Hello, everyone, and thank you for tuning in 2 00:00:02,120 --> 00:00:04,519 into the Becker health care podcast series. Today, 3 00:00:04,679 --> 00:00:06,279 I am pleased to be joined Barr as 4 00:00:06,279 --> 00:00:08,291 we focus on payers and some of the 5 00:00:08,291 --> 00:00:10,123 administrative challenges they are facing in light of 6 00:00:10,283 --> 00:00:10,783 Cms 7 00:00:11,398 --> 00:00:14,665 regulations, pertaining to Medicare Advantage, including compliance with 8 00:00:14,665 --> 00:00:18,049 state and federal prior authorization, requirements, and interoperability 9 00:00:18,346 --> 00:00:20,361 and increasing transparency and accountability 10 00:00:20,738 --> 00:00:20,977 reporting. 11 00:00:21,615 --> 00:00:23,848 These changes are accelerating the need for health 12 00:00:23,848 --> 00:00:26,501 health plan payers to accelerate, optimize and automate 13 00:00:26,733 --> 00:00:29,112 many administrative functions would some estimate to make 14 00:00:29,112 --> 00:00:31,968 up 25 percent of the 4700000000000.0 15 00:00:31,968 --> 00:00:34,189 total health spending in the Us. 16 00:00:34,839 --> 00:00:36,431 Before I begin, I'm going to introduce today's 17 00:00:36,431 --> 00:00:39,955 speaker, Paul, Senior industry practice director of view 18 00:00:40,012 --> 00:00:40,251 uipath. 19 00:00:41,126 --> 00:00:44,071 Uipath is a enterprise scale intelligent automation platform. 20 00:00:44,484 --> 00:00:48,474 That combines Id, Rpa, process mining, task mining, 21 00:00:48,793 --> 00:00:49,113 process, 22 00:00:49,751 --> 00:00:52,406 orchestration, and Ai ml based capabilities 23 00:00:52,717 --> 00:00:56,367 including communications mining for Nlp and unstructured data 24 00:00:56,367 --> 00:00:56,764 processing. 25 00:00:57,637 --> 00:00:59,462 Uipath customers appreciate the scalability, 26 00:01:00,032 --> 00:01:02,336 flexibility of the solution, along with ease of 27 00:01:02,336 --> 00:01:05,195 use in configuring and training ml models. Paul, 28 00:01:05,354 --> 00:01:06,386 thank you so much for joining us today. 29 00:01:06,545 --> 00:01:08,848 How are you? Thanks for happy me, Terrific. 30 00:01:09,579 --> 00:01:11,659 Yeah. Wonderful. What's 2 gonna started. I first 31 00:01:11,659 --> 00:01:13,500 wanna thank you again for joining the podcast. 32 00:01:13,899 --> 00:01:15,500 He's also a bit more about yourself and 33 00:01:15,500 --> 00:01:16,780 a little more about you uipath. 34 00:01:17,913 --> 00:01:18,231 Sure. 35 00:01:19,024 --> 00:01:21,724 So I've actually had the privilege of serving 36 00:01:21,724 --> 00:01:24,185 in the health care industry now for upwards 37 00:01:24,185 --> 00:01:27,630 of 35 years. And I've had the opportunity 38 00:01:27,630 --> 00:01:28,770 to really traverse 39 00:01:29,230 --> 00:01:31,630 the various sectors. I started in medical education, 40 00:01:32,430 --> 00:01:33,890 jumped over into medical 41 00:01:34,350 --> 00:01:34,990 information systems. 42 00:01:35,483 --> 00:01:37,471 And then got into disease management, 43 00:01:37,948 --> 00:01:40,492 jumped over then into consulting where I spent 44 00:01:40,492 --> 00:01:42,162 the better part of 14 years with a 45 00:01:42,162 --> 00:01:44,547 big 4 firm, consulting to the various sectors 46 00:01:44,547 --> 00:01:46,389 of health care. And by that, I mean, 47 00:01:46,548 --> 00:01:47,263 bio pharma, 48 00:01:47,818 --> 00:01:51,256 payers and providers really working with them to 49 00:01:51,789 --> 00:01:52,583 optimize their business. 50 00:01:53,154 --> 00:01:55,621 And then spent the last 6 years really 51 00:01:55,621 --> 00:01:57,691 up these this intersection of High tech and 52 00:01:57,691 --> 00:01:59,464 healthcare care with some of the hyper dealers 53 00:01:59,840 --> 00:02:00,340 leading 54 00:02:00,715 --> 00:02:03,674 industry strategy for companies like Google, and Amazon 55 00:02:04,151 --> 00:02:04,389 Aws. 56 00:02:05,264 --> 00:02:07,489 In terms of Uipath, and thank you for 57 00:02:07,489 --> 00:02:09,397 the the kind remarks in the intro, 58 00:02:10,191 --> 00:02:13,471 Uipath really is is a platform for innovation 59 00:02:13,471 --> 00:02:16,976 and automation. And within healthcare, we see so 60 00:02:16,976 --> 00:02:19,366 many point solutions that exist and there's a 61 00:02:19,366 --> 00:02:22,246 lot terrific innovation going on. But a lot 62 00:02:22,246 --> 00:02:24,395 of the customers that I speak with day 63 00:02:24,395 --> 00:02:25,669 in and day out, and it's a big 64 00:02:25,669 --> 00:02:27,022 part of my role is really to beat 65 00:02:27,022 --> 00:02:29,465 with executives of payers specifically. And 66 00:02:29,823 --> 00:02:30,641 our responsibilities 67 00:02:31,097 --> 00:02:33,646 overseeing payers and providers in the Americas. Is 68 00:02:33,646 --> 00:02:35,796 really to meet with executives and understand what's 69 00:02:35,796 --> 00:02:38,208 on their mind relative to their strategic 70 00:02:39,079 --> 00:02:41,715 transformation initiatives. A lot of business processes have 71 00:02:41,715 --> 00:02:44,752 been digitized, but we're capturing information, but we're 72 00:02:44,752 --> 00:02:46,530 really not able to unlock 73 00:02:46,844 --> 00:02:49,961 the value that's contained within that information. So 74 00:02:50,520 --> 00:02:53,257 Uipath as a platform really serves as a 75 00:02:53,796 --> 00:02:54,616 unification capability 76 00:02:55,329 --> 00:02:57,324 that kind of meets customers where they are, 77 00:02:57,963 --> 00:03:00,697 can tap into the source systems they have 78 00:03:00,835 --> 00:03:03,171 and then begin to introduce 79 00:03:03,883 --> 00:03:06,516 automation, intelligent automation and some of the more 80 00:03:06,516 --> 00:03:09,091 advanced technologies, large language models, etcetera 81 00:03:09,469 --> 00:03:11,199 on the data so that it can be 82 00:03:11,319 --> 00:03:13,797 freed and used in in meaningful ways. And 83 00:03:13,797 --> 00:03:16,994 we're finding this is really particularly relevant and 84 00:03:16,994 --> 00:03:19,231 applicable with a lot of the regulations that 85 00:03:19,231 --> 00:03:21,744 have both been published in our fourth coming 86 00:03:21,881 --> 00:03:24,032 from Cms and others just in terms of 87 00:03:24,032 --> 00:03:27,140 the challenges that payers have, and the need 88 00:03:27,140 --> 00:03:28,675 to really move faster 89 00:03:29,052 --> 00:03:31,534 in a safe and effective way leverage the 90 00:03:31,534 --> 00:03:33,360 technology in the right place at the right 91 00:03:33,360 --> 00:03:36,059 time, but then also do so in an 92 00:03:36,059 --> 00:03:37,885 explain in an accountable way, and we've got 93 00:03:37,885 --> 00:03:39,473 some ways that we've been thinking about that. 94 00:03:40,441 --> 00:03:41,713 That's a little bit about Uipath. 95 00:03:42,825 --> 00:03:44,653 Yeah. Yeah. Wonderful. Thank you so much for 96 00:03:44,653 --> 00:03:47,275 giving us that explanation. So what are the 97 00:03:47,275 --> 00:03:49,597 major trends you are currently seeing and how 98 00:03:49,597 --> 00:03:50,792 are you helping our customers? 99 00:03:52,067 --> 00:03:52,385 Sure. 100 00:03:53,182 --> 00:03:55,891 So there's really 5 domains that we find 101 00:03:55,891 --> 00:03:56,264 ourselves 102 00:03:56,861 --> 00:03:58,850 talking with our customers about. And and we 103 00:03:58,850 --> 00:04:01,555 assist in different ways. Again, we're about meeting 104 00:04:01,555 --> 00:04:03,486 customers where they are and 105 00:04:03,861 --> 00:04:04,759 really being 106 00:04:05,388 --> 00:04:07,855 scaffolding, if you will to stripe across the 107 00:04:07,855 --> 00:04:10,265 different systems. But medical cost management 108 00:04:10,719 --> 00:04:12,493 is a is a large area 109 00:04:12,805 --> 00:04:15,125 that we focus on. We're helping customers and 110 00:04:15,125 --> 00:04:17,064 everything from care pathway 111 00:04:17,685 --> 00:04:19,144 optimization to disease and 112 00:04:19,444 --> 00:04:20,084 care management. 113 00:04:20,819 --> 00:04:21,298 Programs. 114 00:04:21,936 --> 00:04:24,649 The area we've really seen a lot of 115 00:04:24,649 --> 00:04:27,304 emphasis recently is in the operational cost management 116 00:04:27,363 --> 00:04:30,090 side of things. And these our areas having 117 00:04:30,090 --> 00:04:31,228 to do with higher 118 00:04:31,605 --> 00:04:33,199 authorization. There's been a lot of discussion around 119 00:04:33,199 --> 00:04:34,975 that, particularly with the Cms 120 00:04:35,431 --> 00:04:36,547 0057 121 00:04:36,547 --> 00:04:37,026 dash f. 122 00:04:37,996 --> 00:04:39,053 Regulation coming down 123 00:04:39,667 --> 00:04:42,372 and the adaptations needed to comply with that 124 00:04:42,372 --> 00:04:43,486 by 20 27. 125 00:04:43,963 --> 00:04:46,521 Looking at high dollar claims is another area, 126 00:04:46,759 --> 00:04:49,380 really the audit aspect of claims and cost 127 00:04:49,380 --> 00:04:51,842 recovery. And we've got examples where we've helped 128 00:04:51,842 --> 00:04:54,010 customers recuperate tens of millions 129 00:04:54,479 --> 00:04:55,518 in over payments, 130 00:04:56,317 --> 00:04:58,315 in instances where they've been able to go 131 00:04:58,315 --> 00:05:00,733 back and and do the reviews, using 132 00:05:01,592 --> 00:05:04,720 automation and using machine learning and an Ai 133 00:05:04,720 --> 00:05:05,596 to start to look at, 134 00:05:06,393 --> 00:05:09,341 those. And then looking at provider credentialing, you 135 00:05:09,341 --> 00:05:11,585 know, keeping the records up to date, there's 136 00:05:11,585 --> 00:05:14,836 a lot of paper involved, typically. The average 137 00:05:14,836 --> 00:05:17,477 provider will have anywhere between 3 and 5 138 00:05:17,691 --> 00:05:20,244 pieces of paper that get filed every year 139 00:05:20,244 --> 00:05:21,219 that have to be 140 00:05:21,830 --> 00:05:23,733 absorbed somehow. A lot of them aren't doing 141 00:05:23,733 --> 00:05:25,636 it online, but there's still a remarkable amount 142 00:05:25,636 --> 00:05:27,796 of business that still gets conducted via effects. 143 00:05:27,955 --> 00:05:30,127 And we see this also in both prior 144 00:05:30,503 --> 00:05:33,051 authorization and in claims where the information that's 145 00:05:33,051 --> 00:05:35,042 coming in is is digital, but it's digital 146 00:05:35,201 --> 00:05:37,390 Pdf documents or or fax documents 147 00:05:37,767 --> 00:05:39,520 that they have to be ingested. They have 148 00:05:39,520 --> 00:05:40,317 to be understood, 149 00:05:41,194 --> 00:05:43,505 routed appropriately and then ad educated. 150 00:05:43,997 --> 00:05:45,823 And then the last area that we've seen 151 00:05:45,823 --> 00:05:48,363 quite a bit of progress is in more 152 00:05:48,363 --> 00:05:50,585 of the fixed cost aspect, more technical and 153 00:05:50,585 --> 00:05:52,252 that is in the automation of testing. 154 00:05:53,141 --> 00:05:55,048 Uipath has some part of its platform, 155 00:05:55,843 --> 00:05:59,340 testing capabilities, and we've seen upwards of 5 156 00:05:59,340 --> 00:06:01,247 x increase in throughput. 157 00:06:02,057 --> 00:06:04,147 By taking advantage of of the automated 158 00:06:04,522 --> 00:06:06,589 script writing and testing capabilities that are part 159 00:06:06,589 --> 00:06:08,203 of our platform. So that's kind of the 160 00:06:08,339 --> 00:06:11,043 automation aspect of operational cost management. 161 00:06:11,854 --> 00:06:14,888 The 3 remaining areas, member engagement tends to 162 00:06:14,888 --> 00:06:16,644 be a very big area, and this is 163 00:06:16,644 --> 00:06:16,963 around, 164 00:06:17,762 --> 00:06:19,060 eligibility checks, personalized 165 00:06:19,598 --> 00:06:20,976 communications and recommendations 166 00:06:21,369 --> 00:06:23,284 the provider experience, and there's a lot of 167 00:06:23,284 --> 00:06:25,199 talk in the industry about the ab operation, 168 00:06:26,077 --> 00:06:28,072 and we're doing some work around intake and 169 00:06:28,072 --> 00:06:28,572 correspondence 170 00:06:29,283 --> 00:06:29,783 and 171 00:06:30,236 --> 00:06:32,619 the referral networks and and working with our 172 00:06:32,619 --> 00:06:35,478 payer customers and our provider customers to more 173 00:06:35,478 --> 00:06:36,455 efficiently share 174 00:06:36,828 --> 00:06:39,817 information as joint stakeholders in the care 175 00:06:40,276 --> 00:06:42,913 of, of a member slash patient. And then 176 00:06:42,913 --> 00:06:45,091 finally, you know, the area of around quality 177 00:06:45,231 --> 00:06:47,873 risk and compliance And again, top of mind, 178 00:06:48,111 --> 00:06:49,938 particularly in light of some of the regulations 179 00:06:49,938 --> 00:06:52,161 that have come down. But assisting customers really, 180 00:06:52,399 --> 00:06:53,693 again, getting back to 181 00:06:54,067 --> 00:06:56,943 understanding the data they have the analytics against 182 00:06:56,943 --> 00:06:58,876 that, and then being able to take actions 183 00:06:59,331 --> 00:07:01,183 on those insights that are generated 184 00:07:01,559 --> 00:07:03,310 and really start to look at ways from 185 00:07:03,310 --> 00:07:04,981 which they can improve their business not only 186 00:07:04,981 --> 00:07:07,930 from compliance perspective, but then also start to 187 00:07:07,930 --> 00:07:10,254 mine that data to better understand their member 188 00:07:11,022 --> 00:07:12,870 population where the risks may be 189 00:07:13,498 --> 00:07:15,811 present and how they may be making adjustments 190 00:07:15,811 --> 00:07:17,406 not only to their current business, but then 191 00:07:17,406 --> 00:07:20,676 also looking for opportunities to introduce new products 192 00:07:20,676 --> 00:07:22,772 and services that are gonna add more value 193 00:07:23,322 --> 00:07:25,389 to their end member and be more competitive 194 00:07:25,389 --> 00:07:26,422 ultimately in the market. 195 00:07:27,535 --> 00:07:29,204 Wonderful. Thank you so much for giving us 196 00:07:29,204 --> 00:07:30,078 that explanation. 197 00:07:30,729 --> 00:07:31,709 So with Ai 198 00:07:32,169 --> 00:07:34,810 occupying the majority of recent headlines and new 199 00:07:34,810 --> 00:07:36,649 advancements seemingly announced it every day, 200 00:07:37,529 --> 00:07:39,305 as I'm sure you know. How are you 201 00:07:39,305 --> 00:07:43,064 helping customers transform their operations with automation that 202 00:07:43,064 --> 00:07:46,504 includes Ml, a, and L m at scale? 203 00:07:47,319 --> 00:07:47,478 Sure. 204 00:07:48,276 --> 00:07:50,828 Well, there's a lot of experimentation that's going 205 00:07:50,828 --> 00:07:52,742 on. You know, we're coming up. This November 206 00:07:52,742 --> 00:07:54,816 will be the 2 year mark when open 207 00:07:54,896 --> 00:07:56,810 Ai shook the world with its announcement. 208 00:07:57,383 --> 00:07:59,077 And and really democrat 209 00:07:59,612 --> 00:08:01,921 large language models to the to the general 210 00:08:01,921 --> 00:08:02,240 public. 211 00:08:02,956 --> 00:08:04,730 There since then, there's been a lot of 212 00:08:05,027 --> 00:08:07,764 experimentation But we're finding that upwards of 70 213 00:08:07,819 --> 00:08:09,826 percent of the pilots that are undertaken 214 00:08:10,515 --> 00:08:14,184 fail. And it's not for great work that's 215 00:08:14,184 --> 00:08:16,181 being done. A lot of it has to 216 00:08:16,181 --> 00:08:18,759 do with the need for training. We just 217 00:08:18,898 --> 00:08:20,976 announced a study. We did a global knowledge 218 00:08:20,976 --> 00:08:22,035 worker study 219 00:08:22,586 --> 00:08:25,444 we announced those results this this preceding Monday, 220 00:08:25,761 --> 00:08:26,793 the eleventh of June. 221 00:08:27,428 --> 00:08:31,024 And that, it found upwards of 85 percent 222 00:08:31,254 --> 00:08:32,472 of those surveyed 223 00:08:33,168 --> 00:08:34,865 were not given 224 00:08:35,242 --> 00:08:37,975 structured training, particularly related to, 225 00:08:38,352 --> 00:08:40,347 the use of large language models in their 226 00:08:40,347 --> 00:08:40,847 business 227 00:08:41,399 --> 00:08:44,116 and then also looking at Ai, Ml, large 228 00:08:44,116 --> 00:08:47,313 language models in combination with automation. 229 00:08:48,192 --> 00:08:50,190 So there's there's a big gap there, and 230 00:08:50,190 --> 00:08:52,198 that's 1 of the learnings that that we've 231 00:08:52,198 --> 00:08:54,908 seen is that while the technology is interesting, 232 00:08:55,068 --> 00:08:57,459 there's definitely a right place and and our 233 00:08:57,459 --> 00:08:58,336 right time for it. 234 00:08:59,230 --> 00:09:02,190 In terms of what Uipath, we spent, since 235 00:09:02,190 --> 00:09:03,709 2005 when we are founded, 236 00:09:04,750 --> 00:09:07,402 we've been looking very deeply at at Ai 237 00:09:07,402 --> 00:09:09,474 and n ml. And as part of our 238 00:09:09,474 --> 00:09:11,545 platform, you know, there is certainly a number 239 00:09:11,545 --> 00:09:14,334 of different capabilities as was mentioned around the 240 00:09:14,334 --> 00:09:16,427 understanding of information and the context 241 00:09:17,059 --> 00:09:18,897 but there's something that we've built into it, 242 00:09:19,616 --> 00:09:21,235 which is key for regulated 243 00:09:21,614 --> 00:09:24,412 industries like health and financial services, and that 244 00:09:24,412 --> 00:09:26,090 is an Ai trust layer. 245 00:09:26,903 --> 00:09:28,975 And what that really allows our customers to 246 00:09:28,975 --> 00:09:32,003 do is establish the guard rails and the 247 00:09:32,003 --> 00:09:33,857 mechanisms to explain 248 00:09:34,169 --> 00:09:34,808 to report, 249 00:09:35,605 --> 00:09:39,117 offer transparency over what these models are actually 250 00:09:39,117 --> 00:09:41,590 doing with respect to their their data. 251 00:09:42,402 --> 00:09:45,446 We're finding some some great use cases around 252 00:09:45,741 --> 00:09:46,059 the, 253 00:09:46,934 --> 00:09:49,160 what we call context branding as a part 254 00:09:49,160 --> 00:09:50,750 of this. And that is the model is 255 00:09:50,750 --> 00:09:51,648 pointed very 256 00:09:52,120 --> 00:09:52,620 specifically 257 00:09:53,159 --> 00:09:55,799 at a finite corpus of data that is 258 00:09:55,799 --> 00:09:56,919 approved by the customer. 259 00:09:57,480 --> 00:09:57,799 And, 260 00:09:58,360 --> 00:10:00,519 by doing so, it reduces a lot of 261 00:10:00,519 --> 00:10:02,368 noise. It gives you great guard rails around 262 00:10:02,368 --> 00:10:04,593 and great explain ability in terms of the 263 00:10:04,593 --> 00:10:04,752 answers. 264 00:10:05,785 --> 00:10:08,566 In terms of another aspect of how we're 265 00:10:08,566 --> 00:10:11,123 working with customers is guard there has not 266 00:10:11,123 --> 00:10:12,337 been a lot of thought 267 00:10:12,949 --> 00:10:16,467 given to process from the standpoint of a 268 00:10:16,919 --> 00:10:19,222 combination of human plus digital worker. 269 00:10:19,793 --> 00:10:21,859 You think about how businesses have evolved since 270 00:10:21,859 --> 00:10:23,472 the fifties, really it's been 271 00:10:24,084 --> 00:10:24,561 designed 272 00:10:24,959 --> 00:10:25,459 hierarchical 273 00:10:25,833 --> 00:10:28,590 around the capabilities and in some cases limit 274 00:10:28,790 --> 00:10:31,769 limitations of human workforce. And what we're finding 275 00:10:31,910 --> 00:10:34,629 is that as important as the technology is, 276 00:10:34,790 --> 00:10:37,210 there's also a change management component 277 00:10:38,002 --> 00:10:38,821 that's that's 278 00:10:39,436 --> 00:10:41,109 also needed to be looked at as part 279 00:10:41,109 --> 00:10:43,659 of any kind of transformation. And part of 280 00:10:43,659 --> 00:10:45,810 what we have intrinsic to our platform is 281 00:10:45,810 --> 00:10:47,739 the really the ability to look at a 282 00:10:47,739 --> 00:10:48,937 process digitally. 283 00:10:50,055 --> 00:10:51,754 And in the old days, you would typically 284 00:10:51,893 --> 00:10:53,411 commission a study and you would you would 285 00:10:53,411 --> 00:10:54,230 model out 286 00:10:54,941 --> 00:10:56,849 what a process might look like. This is 287 00:10:56,849 --> 00:10:58,837 a way to do that basically a way 288 00:10:58,837 --> 00:11:01,801 to instrument a process automatically where we were 289 00:11:01,858 --> 00:11:03,687 point an agent at a particular process. 290 00:11:04,417 --> 00:11:06,162 Allow that process to be, 291 00:11:06,797 --> 00:11:07,297 worked 292 00:11:08,067 --> 00:11:09,019 across a wide 293 00:11:09,734 --> 00:11:11,876 disparity of workers that are that are performing 294 00:11:11,876 --> 00:11:15,016 that task, And then from that, using analytics 295 00:11:15,074 --> 00:11:17,940 derive what the optimal pathway might be. And 296 00:11:17,940 --> 00:11:20,250 then from that, we're able to then optimize 297 00:11:20,250 --> 00:11:20,887 a process. 298 00:11:21,937 --> 00:11:24,484 Some cases taking things that took days and 299 00:11:24,484 --> 00:11:26,655 sometimes weeks and bring that down to minutes 300 00:11:26,951 --> 00:11:30,055 because we've understood really precisely what's being done 301 00:11:30,055 --> 00:11:32,141 why it's being done and then started to 302 00:11:32,141 --> 00:11:34,212 look at those tasks that are optimally suited 303 00:11:34,212 --> 00:11:37,320 for the human, like decision, like reasoning, and 304 00:11:37,320 --> 00:11:39,152 those things that are more done by 305 00:11:39,790 --> 00:11:41,120 automations, you know, things like 306 00:11:42,036 --> 00:11:42,536 deter 307 00:11:43,312 --> 00:11:46,660 logic where there are particular rules and and 308 00:11:46,660 --> 00:11:47,138 other 309 00:11:47,537 --> 00:11:49,472 mechanisms in place where you can 310 00:11:50,024 --> 00:11:52,424 look at facts and data and then derive 311 00:11:52,424 --> 00:11:53,304 and and output. 312 00:11:54,184 --> 00:11:55,644 All of these things though 313 00:11:56,024 --> 00:11:58,504 really result in, the need for what we 314 00:11:58,504 --> 00:12:00,756 call human and the loop And there is 315 00:12:00,756 --> 00:12:02,750 a desire in healthcare care to try to 316 00:12:02,750 --> 00:12:04,744 automate as much as possible, but what we're 317 00:12:04,744 --> 00:12:05,244 finding 318 00:12:05,701 --> 00:12:07,376 is that by having a human in the 319 00:12:07,376 --> 00:12:09,861 loop, it actually accomplishes 2 things at once. 320 00:12:10,338 --> 00:12:13,038 The first is as you're bringing in your 321 00:12:13,038 --> 00:12:15,024 process experts, the humans that have done the 322 00:12:15,024 --> 00:12:15,524 work 323 00:12:15,977 --> 00:12:17,430 and starting to introduce 324 00:12:18,376 --> 00:12:20,843 automations that optimize, we're able to get that 325 00:12:20,843 --> 00:12:23,469 expert insight and you're able to cod that 326 00:12:23,469 --> 00:12:25,162 expert insight in a way where 327 00:12:25,554 --> 00:12:27,955 essentially, the machines are ticking away a lot 328 00:12:27,955 --> 00:12:29,735 of the the dr or the 329 00:12:30,514 --> 00:12:32,615 from from that process. And then allowing 330 00:12:33,405 --> 00:12:35,708 the knowledge worker or human to focus on 331 00:12:35,708 --> 00:12:37,455 those things that are higher order value, 332 00:12:38,090 --> 00:12:41,282 focusing on the member experience, focusing on truly 333 00:12:41,282 --> 00:12:43,587 those things that are strategically important to the 334 00:12:43,587 --> 00:12:45,972 business versus those things that are just simply 335 00:12:45,972 --> 00:12:48,118 time consuming and moving data from 1 place 336 00:12:48,118 --> 00:12:50,362 to another. So we're finding that when having 337 00:12:50,362 --> 00:12:52,592 a human in the loop, we use machines 338 00:12:52,592 --> 00:12:54,423 for what they're really prayed at, which is 339 00:12:54,423 --> 00:12:54,821 repeatable, 340 00:12:55,299 --> 00:12:58,260 dependable processes, safe and effective, and then humans 341 00:12:58,260 --> 00:13:00,249 for the reasoning and the creative aspects in 342 00:13:00,249 --> 00:13:00,749 which 343 00:13:01,284 --> 00:13:03,034 add a lot of value to the overall 344 00:13:03,034 --> 00:13:03,353 experience. 345 00:13:03,910 --> 00:13:05,899 And then I mentioned before that the trust 346 00:13:05,899 --> 00:13:06,750 framework that makes 347 00:13:07,348 --> 00:13:08,705 makes part of it. And part of that, 348 00:13:08,784 --> 00:13:10,641 of course is the interoperability 349 00:13:11,099 --> 00:13:13,572 across 4 systems. The nice thing about Ui 350 00:13:13,572 --> 00:13:15,921 uipath is we are easily 351 00:13:16,376 --> 00:13:18,606 able to work with all the core systems 352 00:13:18,606 --> 00:13:19,106 from 353 00:13:19,721 --> 00:13:21,233 the the source systems that you may have, 354 00:13:21,393 --> 00:13:23,635 the systems of records would to speak. And, 355 00:13:24,031 --> 00:13:24,928 either by 356 00:13:25,379 --> 00:13:25,879 Api 357 00:13:26,251 --> 00:13:28,416 or fire interfaces or 358 00:13:28,867 --> 00:13:30,825 even reading the screens. We we have 359 00:13:31,264 --> 00:13:33,024 a number of patents in our portfolio that 360 00:13:33,024 --> 00:13:36,404 are all about document understanding, natural language processing 361 00:13:36,465 --> 00:13:38,144 and, you know, the ability to truly read 362 00:13:38,144 --> 00:13:40,817 what's on a screen and understand what's happening 363 00:13:41,350 --> 00:13:42,645 at that level of granularity. 364 00:13:43,337 --> 00:13:45,824 And that offers really again, our customers to 365 00:13:45,880 --> 00:13:47,947 back to the Guard rails conversation, be able 366 00:13:47,947 --> 00:13:51,472 to start to use these automation capabilities and 367 00:13:51,472 --> 00:13:52,771 intelligence capabilities 368 00:13:53,630 --> 00:13:56,427 really holistically at the enterprise level a way 369 00:13:56,427 --> 00:13:58,105 that's very transparent and scalable. 370 00:13:59,397 --> 00:14:00,986 Yeah. Yeah. Thank you so much for giving 371 00:14:00,986 --> 00:14:03,528 us all of that information. Paul, before I 372 00:14:03,528 --> 00:14:04,799 let you go. The last thing I really 373 00:14:04,799 --> 00:14:05,753 wanted to ask you is, 374 00:14:06,404 --> 00:14:08,399 If you have any advice for our listeners 375 00:14:08,399 --> 00:14:09,697 who are seeking to transform 376 00:14:10,154 --> 00:14:12,729 and optimize how they operate with Ai led 377 00:14:12,787 --> 00:14:12,947 automation. 378 00:14:14,718 --> 00:14:15,037 Sure. 379 00:14:15,755 --> 00:14:17,591 And you know, there there's always this natural 380 00:14:17,591 --> 00:14:19,666 tendency when there's new technology. You know, first 381 00:14:19,666 --> 00:14:21,662 and foremost, you know, even though there's a 382 00:14:21,662 --> 00:14:24,229 lot of talk about Ai, large language models 383 00:14:24,229 --> 00:14:26,142 and so forth, it's it's a part of 384 00:14:26,142 --> 00:14:27,338 a larger solution. 385 00:14:28,294 --> 00:14:30,606 In terms of, the other elements that you 386 00:14:30,606 --> 00:14:34,471 need to take action on on insight. So 387 00:14:34,609 --> 00:14:36,544 what we like to advise our customers 388 00:14:37,002 --> 00:14:38,996 as we're working with them is really focus 389 00:14:38,996 --> 00:14:41,563 on the right problems. Those those instead of 390 00:14:41,563 --> 00:14:43,419 thinking particular use cases 391 00:14:43,796 --> 00:14:46,029 and and the industry right now is, I 392 00:14:46,029 --> 00:14:47,545 don't wanna say littered, but there's a lot 393 00:14:47,545 --> 00:14:50,097 of standalone use cases out there, But they 394 00:14:50,097 --> 00:14:53,135 don't really connect anything. So we encourage our 395 00:14:53,135 --> 00:14:55,463 customers to really think more from a systems 396 00:14:55,678 --> 00:14:57,665 perspective. What does the end to end process 397 00:14:57,665 --> 00:14:59,428 look like? Anything And then how can we 398 00:14:59,428 --> 00:15:01,415 look at that process in each sub component 399 00:15:01,415 --> 00:15:03,640 of that process? And where is it best 400 00:15:03,640 --> 00:15:04,776 work to add 401 00:15:05,468 --> 00:15:05,707 automation? 402 00:15:06,756 --> 00:15:08,983 Intelligent automation and the the different tools that 403 00:15:08,983 --> 00:15:11,130 are available through the platform. And then where 404 00:15:11,130 --> 00:15:13,119 is it best for having a human actually 405 00:15:13,119 --> 00:15:13,993 take care of that work. 406 00:15:14,963 --> 00:15:17,115 The other is there's also a rush we've 407 00:15:17,115 --> 00:15:19,425 seen to just simply automate what you have 408 00:15:19,425 --> 00:15:21,439 in current state. And 409 00:15:22,228 --> 00:15:24,372 we're seeing really a resurgence and kind of 410 00:15:24,372 --> 00:15:26,834 this back to basics, and that is let's 411 00:15:26,834 --> 00:15:29,613 let's be excellent at doing simple things well. 412 00:15:30,263 --> 00:15:32,883 And it's everything from receiving information from our 413 00:15:32,883 --> 00:15:36,082 provider, processing claim, etcetera. But really 414 00:15:36,694 --> 00:15:39,210 simplify and streamline the process as much as 415 00:15:39,329 --> 00:15:41,239 possible before you really start to go down 416 00:15:41,239 --> 00:15:43,013 that path of trying to automate it, 417 00:15:43,388 --> 00:15:45,139 and orchestrated at an enterprise. 418 00:15:45,776 --> 00:15:47,845 And that know, certainly the right tools at 419 00:15:47,845 --> 00:15:50,013 the right time for the right problem. Gen 420 00:15:50,013 --> 00:15:52,490 ai is a tool. Large language models are 421 00:15:52,490 --> 00:15:54,328 a tool, Ai and Ml. They've been around 422 00:15:54,328 --> 00:15:56,646 for a while. There are tools. Keyword search 423 00:15:56,646 --> 00:15:59,371 is a tool in These tools are effective 424 00:15:59,371 --> 00:16:02,896 in in particular cases. So it really requires 425 00:16:03,113 --> 00:16:05,715 a a thought process to be very critical 426 00:16:06,153 --> 00:16:09,418 thinking critically about the process asking of why 427 00:16:09,418 --> 00:16:11,728 questions around the process. Why is it this 428 00:16:11,728 --> 00:16:13,879 way? Is there perhaps a different way or 429 00:16:13,879 --> 00:16:16,763 a better way to go about accomplishing something. 430 00:16:17,162 --> 00:16:19,315 And that leads kind of going more into 431 00:16:19,315 --> 00:16:22,424 an engineering principle of engineering concept around first 432 00:16:22,424 --> 00:16:24,995 principles, and that is really break down the 433 00:16:24,995 --> 00:16:25,495 processes 434 00:16:26,034 --> 00:16:27,875 into small digestible components. 435 00:16:28,434 --> 00:16:30,595 And and again, be critical and ask yourself 436 00:16:30,595 --> 00:16:32,434 the question if knowing what I know today, 437 00:16:32,849 --> 00:16:34,996 the technology I have access to the people 438 00:16:34,996 --> 00:16:36,666 in the training and where they are right 439 00:16:36,666 --> 00:16:38,336 now and the other systems that I have, 440 00:16:38,813 --> 00:16:40,483 what might be the right way to go 441 00:16:40,483 --> 00:16:43,280 about, transforming this process. And we're finding as 442 00:16:43,280 --> 00:16:45,449 customers really start to take a step back 443 00:16:45,585 --> 00:16:47,969 and think about things more holistically. They're able 444 00:16:47,969 --> 00:16:48,708 to really 445 00:16:49,018 --> 00:16:52,041 achieve excellent results in terms of simplification and 446 00:16:52,041 --> 00:16:52,541 then 447 00:16:53,234 --> 00:16:54,609 acceleration. It's kind of 448 00:16:54,984 --> 00:16:57,305 inverse that people typically have gone about this. 449 00:16:57,464 --> 00:16:59,293 And that is they automate quickly to try 450 00:16:59,293 --> 00:17:00,883 to, achieve an Roi. 451 00:17:01,519 --> 00:17:03,984 And, unfortunately, it it it may work, but 452 00:17:03,984 --> 00:17:05,470 as I said before, a lot of cases 453 00:17:05,509 --> 00:17:06,865 it doesn't. You know, this is a way 454 00:17:06,865 --> 00:17:08,700 to spend 2 thirds of your time really 455 00:17:08,700 --> 00:17:10,694 looking at the process and and breaking it 456 00:17:10,694 --> 00:17:13,268 down and then 1 third applying the technology. 457 00:17:13,645 --> 00:17:15,001 You know, the last bit I would say, 458 00:17:15,814 --> 00:17:18,388 is don't forget about change management. This is 459 00:17:18,845 --> 00:17:21,021 particularly now as much about 460 00:17:21,478 --> 00:17:24,778 the knowledge worker and the knowledge worker experience 461 00:17:24,913 --> 00:17:26,738 as it is the technology. You know, the 462 00:17:26,738 --> 00:17:29,198 tech is moving very quickly, and there's a 463 00:17:29,198 --> 00:17:31,998 lot of overload fatigue I would say, amongst 464 00:17:31,998 --> 00:17:35,266 customers where they're... There's a new innovation or 465 00:17:35,266 --> 00:17:37,578 a new way of doing something literally announced 466 00:17:37,578 --> 00:17:39,826 every day. But Again, kind of taking a 467 00:17:39,826 --> 00:17:42,539 step back, thinking critically about the process and 468 00:17:42,539 --> 00:17:44,852 the outcome, the business outcome you're trying to 469 00:17:44,852 --> 00:17:47,575 achieve, then also think about the people involved 470 00:17:47,575 --> 00:17:49,485 in the change management and the education, 471 00:17:50,280 --> 00:17:52,031 people are a little and you read the 472 00:17:52,031 --> 00:17:54,520 surveys and the literature suggests that generally 473 00:17:55,229 --> 00:17:57,623 knowledge workers a little nervous right now because 474 00:17:57,623 --> 00:17:59,618 they they don't quite understand where they fit 475 00:17:59,618 --> 00:18:02,650 in what these new automated systems might look 476 00:18:02,650 --> 00:18:04,998 like. The good news is it's gonna definitely 477 00:18:05,215 --> 00:18:07,127 super charge, and we like to use that 478 00:18:07,127 --> 00:18:10,074 word, super charge their ability to add value 479 00:18:10,074 --> 00:18:12,167 to the business and value to the members 480 00:18:12,719 --> 00:18:14,877 while also taking those things that are low 481 00:18:14,877 --> 00:18:16,415 value or repeatable 482 00:18:16,875 --> 00:18:18,952 things that could be coded and take that 483 00:18:18,952 --> 00:18:21,325 off their plates that can think strategically and 484 00:18:21,444 --> 00:18:23,836 creatively. And and reason in ways that perhaps 485 00:18:23,836 --> 00:18:25,989 they haven't had time to do before. And 486 00:18:25,989 --> 00:18:28,960 when it's brought about in that way and 487 00:18:29,018 --> 00:18:31,903 education has provided We find that there's greater 488 00:18:31,903 --> 00:18:33,279 acceptance and greater 489 00:18:33,656 --> 00:18:35,887 participation frankly as these programs are are rolled 490 00:18:35,887 --> 00:18:37,402 out within the enterprise. 491 00:18:38,054 --> 00:18:39,730 So there'll be some takeaways there that that 492 00:18:39,890 --> 00:18:41,805 I would suggest, our listeners think about. 493 00:18:42,603 --> 00:18:44,061 Yeah. Yeah. Absolutely. 494 00:18:44,519 --> 00:18:46,115 Well, Paul, that is all the time we 495 00:18:46,115 --> 00:18:48,284 have. For today. So on behalf of Becker 496 00:18:48,284 --> 00:18:50,219 health care. I wanna thank you very much 497 00:18:50,278 --> 00:18:52,670 for your time and thought provoking discussion today. 498 00:18:52,989 --> 00:18:55,723 We also wanna thank our podcast sponsor, you 499 00:18:55,941 --> 00:18:59,168 uipath. For further information about Uipath, go to 500 00:18:59,545 --> 00:19:02,019 uipath dot com or contact paul at the 501 00:19:02,019 --> 00:19:04,028 address provided in the show notes. You can 502 00:19:04,028 --> 00:19:05,940 tune into more podcast from Becca healthcare care 503 00:19:05,940 --> 00:19:08,729 by visiting our podcast page at becker review 504 00:19:08,729 --> 00:19:10,084 dot com slash podcast.