1 00:00:00,080 --> 00:00:02,639 Hello, everyone. This is Erica Spicer Mason with 2 00:00:02,639 --> 00:00:04,099 the Becker's Healthcare Podcast. 3 00:00:04,480 --> 00:00:06,339 Thank you so much for tuning in. 4 00:00:06,639 --> 00:00:09,724 Today, we'll discuss strategies and best practices for 5 00:00:09,724 --> 00:00:11,744 leveraging health care data effectively. 6 00:00:12,285 --> 00:00:13,824 And joining us for this conversation 7 00:00:14,525 --> 00:00:17,570 are doctor Carl Sarrau, the chief medical officer 8 00:00:17,649 --> 00:00:20,769 at Driscoll Health Plan, and doctor Katherine Schneider, 9 00:00:20,769 --> 00:00:22,869 the chief medical officer at Meddecision. 10 00:00:23,809 --> 00:00:26,129 Doctor Serrau and doctor Schneider, welcome to the 11 00:00:26,129 --> 00:00:27,875 podcast. Thank you so much for joining us 12 00:00:27,875 --> 00:00:28,375 today. 13 00:00:28,754 --> 00:00:30,614 Thank you. Thank you. Hi, Erica. 14 00:00:31,394 --> 00:00:33,234 Well, thrilled to have you both with us. 15 00:00:33,234 --> 00:00:35,314 And really quickly, before we get into our 16 00:00:35,314 --> 00:00:37,369 questions, wanted to know if you'd both like 17 00:00:37,369 --> 00:00:39,609 to share just a little bit about yourselves 18 00:00:39,609 --> 00:00:41,689 and your background, your role, whatever you think 19 00:00:41,689 --> 00:00:43,549 would be helpful for listeners to know. 20 00:00:43,984 --> 00:00:46,064 And doctor Serraum, perhaps you could get us 21 00:00:46,064 --> 00:00:46,564 started. 22 00:00:47,344 --> 00:00:48,244 Sure. Hi. 23 00:00:49,024 --> 00:00:51,744 So, Erica, I'm a I'm a pediatrician and 24 00:00:51,744 --> 00:00:52,484 a pediatric 25 00:00:52,945 --> 00:00:53,729 ICU doc 26 00:00:54,530 --> 00:00:55,270 by training. 27 00:00:56,049 --> 00:00:57,429 But I've been working in 28 00:00:57,969 --> 00:00:59,909 the Medicaid peer space, 29 00:01:00,289 --> 00:01:02,289 for probably the last 8 years and a 30 00:01:02,289 --> 00:01:03,030 big emphasis 31 00:01:03,734 --> 00:01:05,495 of what I've been doing has been on 32 00:01:05,495 --> 00:01:06,715 on population health. 33 00:01:07,894 --> 00:01:08,394 Fantastic. 34 00:01:08,694 --> 00:01:10,534 Well, really excited to get your insights there 35 00:01:10,534 --> 00:01:11,719 on population health. 36 00:01:12,200 --> 00:01:13,959 Doctor. Schneider, tell us a little bit about 37 00:01:13,959 --> 00:01:14,780 yourself first. 38 00:01:15,159 --> 00:01:18,120 Yeah. Sure. I am a family physician. I 39 00:01:18,120 --> 00:01:21,000 serve as chief medical officer for Meddecision, which 40 00:01:21,000 --> 00:01:24,825 is a population health management software platform, which 41 00:01:24,825 --> 00:01:25,325 includes 42 00:01:25,784 --> 00:01:26,844 a data platform, 43 00:01:27,625 --> 00:01:29,724 layered on with clinical intelligence 44 00:01:30,025 --> 00:01:32,890 rules and a great deal of workflow and 45 00:01:32,890 --> 00:01:34,909 care management, utilization management, 46 00:01:35,209 --> 00:01:37,950 analytics, and patient engagement. And I, 47 00:01:38,250 --> 00:01:40,924 I really come out of, 2 decades of 48 00:01:40,924 --> 00:01:43,584 work in, value based care and the accountable 49 00:01:43,724 --> 00:01:45,905 care organization world in particular. 50 00:01:46,364 --> 00:01:47,905 So thrilled to be here. 51 00:01:48,760 --> 00:01:50,859 Wonderful. It's great to have you both 52 00:01:51,319 --> 00:01:53,719 here with us and just this topic of 53 00:01:53,719 --> 00:01:56,040 population health and, of course, how we'll integrate 54 00:01:56,040 --> 00:01:57,180 the data component. 55 00:01:57,674 --> 00:01:59,594 So top of mind for leaders right now. 56 00:01:59,594 --> 00:02:01,694 So excited to get your perspectives. 57 00:02:02,075 --> 00:02:03,834 And I wanted to start a little bit 58 00:02:03,834 --> 00:02:07,299 more high level and get your perspective as 59 00:02:07,299 --> 00:02:09,000 clinicians. I know you're both physicians 60 00:02:09,379 --> 00:02:09,879 and, 61 00:02:10,340 --> 00:02:12,500 would love to know about your perspective on 62 00:02:12,500 --> 00:02:14,280 the drivers of health on a practical 63 00:02:14,715 --> 00:02:16,794 day to day level. And how has that 64 00:02:16,794 --> 00:02:17,294 really 65 00:02:17,754 --> 00:02:19,614 changed in the last 10 years? 66 00:02:20,474 --> 00:02:22,394 Doctor. Schneider, maybe you could get us started 67 00:02:22,394 --> 00:02:24,449 with this one. Oh, sure. I'd love to. 68 00:02:24,449 --> 00:02:26,689 I mean, as a family physician who trained, 69 00:02:26,689 --> 00:02:28,770 so I'm afraid to say, like, 3 more 70 00:02:28,770 --> 00:02:31,805 than 3 decades ago, you know, community oriented 71 00:02:32,025 --> 00:02:33,084 primary care, 72 00:02:33,384 --> 00:02:35,164 has been around for a long time. 73 00:02:35,544 --> 00:02:37,705 But what has, I think, changed in the 74 00:02:37,705 --> 00:02:40,370 last decade or so is, you know, certainly 75 00:02:41,150 --> 00:02:41,969 much more, 76 00:02:42,509 --> 00:02:43,489 broad awareness 77 00:02:43,870 --> 00:02:44,849 of particularly 78 00:02:45,310 --> 00:02:47,330 social determinants of health and 79 00:02:47,694 --> 00:02:49,955 health equity as an outcome, which 80 00:02:50,254 --> 00:02:52,495 we can measure and we should be striving 81 00:02:52,495 --> 00:02:52,995 towards. 82 00:02:53,375 --> 00:02:54,254 Certainly there's, 83 00:02:54,814 --> 00:02:55,455 much more, 84 00:02:56,450 --> 00:02:59,110 data capture around drivers of health. 85 00:02:59,490 --> 00:03:01,889 And I think, you know, when I think 86 00:03:01,889 --> 00:03:03,189 about just from a practical 87 00:03:03,894 --> 00:03:05,834 perspective, the number of consumer 88 00:03:06,534 --> 00:03:09,514 tools for people to engage in their own 89 00:03:09,814 --> 00:03:12,074 health and be aware of their own drivers, 90 00:03:12,294 --> 00:03:13,114 whether that's, 91 00:03:13,530 --> 00:03:16,810 you know, your iPhone measuring your activity through 92 00:03:16,810 --> 00:03:19,289 the day or your sleep quality or all 93 00:03:19,289 --> 00:03:21,485 the things on your watch or even, you 94 00:03:21,485 --> 00:03:22,224 know, websites 95 00:03:22,525 --> 00:03:24,125 that can connect you to, 96 00:03:24,525 --> 00:03:25,824 air quality indicators, 97 00:03:26,525 --> 00:03:28,844 you know, the non health care types of 98 00:03:28,844 --> 00:03:29,344 things. 99 00:03:30,020 --> 00:03:31,699 That is just part of our day to 100 00:03:31,699 --> 00:03:33,319 day existence now. 101 00:03:34,260 --> 00:03:35,400 Earl, what do you think? 102 00:03:36,900 --> 00:03:37,719 No, absolutely. 103 00:03:38,419 --> 00:03:40,405 Again, you know, I've been I've been in 104 00:03:40,405 --> 00:03:40,905 healthcare 105 00:03:41,764 --> 00:03:43,625 for almost the same length of time as 106 00:03:43,685 --> 00:03:44,665 Doctor. Schneider. 107 00:03:45,044 --> 00:03:45,485 And, 108 00:03:45,925 --> 00:03:47,604 and, you know, I could tell you in 109 00:03:47,604 --> 00:03:49,205 the last 10 years, I would say it's 110 00:03:49,205 --> 00:03:52,150 even changed even within a shorter span than 111 00:03:52,150 --> 00:03:55,110 that. It's actually probably changed within the last 112 00:03:55,110 --> 00:03:56,250 3 to 4 years. 113 00:03:57,754 --> 00:03:59,194 You know, I think we've went we've gone 114 00:03:59,194 --> 00:04:01,834 from talking about social determinants of of how 115 00:04:01,834 --> 00:04:03,775 to actually more drivers of health. 116 00:04:04,474 --> 00:04:06,395 I think we you know, everybody here is 117 00:04:06,395 --> 00:04:07,419 about, hey, this, 118 00:04:07,979 --> 00:04:10,139 you know, these factors are, you know, are 119 00:04:10,139 --> 00:04:12,860 responsible for 60 or 80% of health care 120 00:04:12,860 --> 00:04:16,080 costs or or determinants of of wellness. 121 00:04:16,444 --> 00:04:18,544 But I think we're now starting to 122 00:04:19,084 --> 00:04:22,064 use data to kind of help us identify, 123 00:04:22,524 --> 00:04:24,524 you know, where do we get the the 124 00:04:24,524 --> 00:04:27,889 biggest impacts, or how are these actually affecting, 125 00:04:28,830 --> 00:04:30,850 patients or or or folks, 126 00:04:31,550 --> 00:04:34,189 can get, access to to health care? That 127 00:04:34,189 --> 00:04:36,745 that talks to health equity and disparity. 128 00:04:37,764 --> 00:04:39,605 How, you know, how much is this affecting 129 00:04:39,605 --> 00:04:42,165 overall wellness, susceptibility, quality, you know, to subject 130 00:04:42,165 --> 00:04:43,959 to illness, quality of life? So 131 00:04:44,419 --> 00:04:45,479 I think we're asking 132 00:04:45,860 --> 00:04:48,259 not just to increase awareness, like Doctor. Schneider 133 00:04:48,259 --> 00:04:49,000 also mentioned, 134 00:04:49,459 --> 00:04:50,279 but also 135 00:04:50,660 --> 00:04:51,160 about 136 00:04:52,085 --> 00:04:54,185 before it was it was very, 137 00:04:54,645 --> 00:04:57,205 amorphous. Now we're asking, you know, much more 138 00:04:57,205 --> 00:05:00,004 specific and and targeted questions and looking for 139 00:05:00,004 --> 00:05:02,139 more and more outcomes. And and so as 140 00:05:02,139 --> 00:05:03,980 it becomes part of our daily lives, I 141 00:05:03,980 --> 00:05:05,819 think the the questions that are coming up 142 00:05:05,819 --> 00:05:07,660 now is, okay, it's part of our daily 143 00:05:07,660 --> 00:05:09,980 lives, but, you know, what what really matters 144 00:05:09,980 --> 00:05:12,705 the most? Or how can I actually change 145 00:05:12,705 --> 00:05:15,264 something that can make a a really meaningful 146 00:05:15,264 --> 00:05:18,145 impact both as an individual level as well 147 00:05:18,145 --> 00:05:20,625 as, hey, you know, overall as a society 148 00:05:20,625 --> 00:05:21,639 or as a community? 149 00:05:22,980 --> 00:05:24,519 Appreciate those overviews 150 00:05:24,819 --> 00:05:27,620 so much, and it really aligns with what 151 00:05:27,620 --> 00:05:29,824 we're seeing. I know just from Becker's perspective 152 00:05:29,824 --> 00:05:31,345 and what we see in our coverage and 153 00:05:31,345 --> 00:05:32,404 what leaders are telling 154 00:05:32,865 --> 00:05:35,425 us, the social determinants, health equity, the social 155 00:05:35,425 --> 00:05:37,979 drivers of health, these are key parts of 156 00:05:37,979 --> 00:05:40,620 overarching business strategies today. And I think to 157 00:05:40,620 --> 00:05:41,839 your point, doctor Serrau, 158 00:05:42,219 --> 00:05:44,459 we're seeing this being implemented a bit more 159 00:05:44,459 --> 00:05:47,764 aggressively and and leaders really seeking more granular 160 00:05:47,824 --> 00:05:49,904 answers, and and data is a huge part 161 00:05:49,904 --> 00:05:50,805 of that. So 162 00:05:51,185 --> 00:05:52,704 I'd also like to know and maybe doctor 163 00:05:52,704 --> 00:05:55,066 Serau, we can start with you on this 164 00:05:55,066 --> 00:05:57,542 one, while we have you. Can you talk 165 00:05:57,542 --> 00:05:59,744 a bit about the relevance of data being 166 00:05:59,744 --> 00:06:01,884 available in real time? And how does that 167 00:06:01,884 --> 00:06:03,805 help you as both a provider as well 168 00:06:03,805 --> 00:06:05,345 as a managed care organization? 169 00:06:06,204 --> 00:06:07,425 Absolutely. I think 170 00:06:08,605 --> 00:06:09,665 real time equals 171 00:06:10,259 --> 00:06:11,240 actionable data. 172 00:06:11,699 --> 00:06:14,019 Right? So, you know, I I'm coming from 173 00:06:14,019 --> 00:06:16,019 the from the payer space and, you know, 174 00:06:16,019 --> 00:06:18,339 you know, still all primary data sources claims, 175 00:06:18,339 --> 00:06:21,014 but then everybody will tell you claims has 176 00:06:21,634 --> 00:06:24,115 a lag. You know? It could be several 177 00:06:24,115 --> 00:06:26,269 months. And and the longer you go from, 178 00:06:26,349 --> 00:06:28,029 you know, from your from the the time 179 00:06:28,029 --> 00:06:30,050 of when you could actually have done something, 180 00:06:30,269 --> 00:06:32,110 the less meaningful that data becomes. So less 181 00:06:32,110 --> 00:06:35,149 actionable that data becomes. So this becomes important 182 00:06:35,149 --> 00:06:35,970 to the provider 183 00:06:36,725 --> 00:06:39,305 where I can you can actually you've identified 184 00:06:39,764 --> 00:06:42,264 that a patient has some social, 185 00:06:43,365 --> 00:06:46,029 drivers or or needs, and you can act 186 00:06:46,029 --> 00:06:47,870 upon it. Same thing from a payer standpoint. 187 00:06:47,870 --> 00:06:49,730 You know, whether we're talking to care management 188 00:06:49,790 --> 00:06:52,770 or case management or, you know, utilization management. 189 00:06:53,365 --> 00:06:54,264 How can you affect 190 00:06:55,045 --> 00:06:56,985 positive change in that person's, 191 00:06:57,365 --> 00:06:59,365 overall health and wellness has to do with 192 00:06:59,365 --> 00:07:01,259 how real time that data is coming in. 193 00:07:01,580 --> 00:07:03,819 And so, you know, what we're seeing is 194 00:07:03,819 --> 00:07:06,639 that real time data is extremely important. 195 00:07:07,259 --> 00:07:08,160 Some of the 196 00:07:08,534 --> 00:07:09,995 some of the areas where, 197 00:07:10,534 --> 00:07:12,454 we still have lots of work to do, 198 00:07:12,454 --> 00:07:14,454 and I think the future is gonna be 199 00:07:14,454 --> 00:07:14,954 exciting, 200 00:07:15,495 --> 00:07:17,930 is really about how do we now make 201 00:07:17,930 --> 00:07:19,230 that real time data 202 00:07:19,930 --> 00:07:20,430 actionable. 203 00:07:21,129 --> 00:07:23,449 And so that talks about, you know, at 204 00:07:23,449 --> 00:07:25,370 least from from the peer space and even 205 00:07:25,370 --> 00:07:26,535 the the provider spaces, 206 00:07:26,915 --> 00:07:28,435 what kind of workflows do you have in 207 00:07:28,435 --> 00:07:31,175 place? You know? How have you, pre identified, 208 00:07:31,314 --> 00:07:33,335 you know, resources that you can, 209 00:07:33,795 --> 00:07:34,295 link, 210 00:07:34,939 --> 00:07:37,099 people to? And how do you get feedback 211 00:07:37,099 --> 00:07:39,699 on that impact and measure that impact? So 212 00:07:39,699 --> 00:07:42,245 so so real time data is huge, and 213 00:07:42,245 --> 00:07:44,324 and the next the next step is going 214 00:07:44,324 --> 00:07:46,824 to be making that data actionable. 215 00:07:47,685 --> 00:07:49,865 And I I mean, I echo everything, 216 00:07:50,459 --> 00:07:52,000 that doctor Sarrau said, 217 00:07:52,459 --> 00:07:54,639 but maybe could give a couple of examples, 218 00:07:55,500 --> 00:07:57,199 where, you know, I've seen, 219 00:07:57,794 --> 00:08:00,034 when you can incorporate real time data, it 220 00:08:00,034 --> 00:08:02,935 just makes such a huge difference. For example, 221 00:08:03,474 --> 00:08:06,274 trying to chase down patients for annual wellness 222 00:08:06,274 --> 00:08:09,240 visits, which, particularly in the Medicare populations 223 00:08:09,779 --> 00:08:12,019 are, are so key to, 224 00:08:12,500 --> 00:08:15,800 the frontline primary care physicians being able to, 225 00:08:16,024 --> 00:08:18,345 you know, stay sticky with the patients and 226 00:08:18,345 --> 00:08:20,504 get all of the care gaps closed and 227 00:08:20,504 --> 00:08:23,930 they're, and, risk stratified, etcetera, etcetera. But if 228 00:08:23,930 --> 00:08:24,670 you're providing 229 00:08:25,209 --> 00:08:26,029 that frontline 230 00:08:26,810 --> 00:08:27,290 with, 231 00:08:28,089 --> 00:08:30,889 lists of tasks to be done around care 232 00:08:30,889 --> 00:08:33,210 gaps and annual wellness visits, and that data 233 00:08:33,210 --> 00:08:35,315 is 4 months old, which is pretty typical 234 00:08:35,315 --> 00:08:37,095 from, like, your usual claims, 235 00:08:37,955 --> 00:08:41,075 type of lag. You know, it's completely stale 236 00:08:41,075 --> 00:08:42,934 and they're wasting their time, 237 00:08:43,509 --> 00:08:45,350 much of the time because the work may 238 00:08:45,350 --> 00:08:47,110 have already been done or it's just not 239 00:08:47,110 --> 00:08:49,750 relevant anymore. And likewise, from the from the 240 00:08:49,750 --> 00:08:52,070 care management example, I mean, you think about, 241 00:08:52,070 --> 00:08:52,570 like, 242 00:08:53,345 --> 00:08:56,085 I'll go to doctor Sorrell's field of expertise, 243 00:08:56,304 --> 00:08:59,024 like a child with a new diagnosis of 244 00:08:59,024 --> 00:09:01,585 asthma coming out of the emergency department or 245 00:09:01,585 --> 00:09:02,779 hospital for the first 246 00:09:03,340 --> 00:09:04,320 time, you know, 247 00:09:04,620 --> 00:09:06,240 now is the moment of opportunity 248 00:09:06,620 --> 00:09:08,940 to educate that family and to make sure 249 00:09:08,940 --> 00:09:09,840 that they have 250 00:09:10,424 --> 00:09:12,985 everything that they need, and that their home 251 00:09:12,985 --> 00:09:17,144 environment is has been assessed properly, etcetera, etcetera. 252 00:09:17,144 --> 00:09:19,240 So coming, you know, coming at them a 253 00:09:19,240 --> 00:09:21,559 month or 2 later to say, oh, I 254 00:09:21,559 --> 00:09:23,959 wanna help you manage your asthma. Well, that 255 00:09:23,959 --> 00:09:25,100 horse left the barn. 256 00:09:25,834 --> 00:09:27,914 Right. And I'd add to that, and that 257 00:09:27,914 --> 00:09:29,375 you make a really good point, 258 00:09:30,235 --> 00:09:31,134 doctor Schneider. 259 00:09:31,674 --> 00:09:33,774 I'd I'd give you an example of how 260 00:09:33,995 --> 00:09:36,850 real time data becomes actionable data if you 261 00:09:36,850 --> 00:09:38,230 provide the right resources. 262 00:09:38,850 --> 00:09:40,789 So for instance, in several pediatric, 263 00:09:41,570 --> 00:09:43,110 health homes that we have, 264 00:09:43,725 --> 00:09:44,945 we actually provided, 265 00:09:45,565 --> 00:09:47,745 they didn't want to to screen for, 266 00:09:48,204 --> 00:09:48,704 SDOH 267 00:09:49,084 --> 00:09:51,209 because they said, okay. If I screen, what 268 00:09:51,209 --> 00:09:53,769 do I then do? So so even though 269 00:09:53,769 --> 00:09:55,529 we could give them real data, they didn't 270 00:09:55,529 --> 00:09:57,129 want the real data because they didn't feel 271 00:09:57,129 --> 00:09:58,095 they could act on it. 272 00:09:58,495 --> 00:10:00,334 And so what we did was we actually 273 00:10:00,334 --> 00:10:00,834 created, 274 00:10:02,014 --> 00:10:04,674 postcards with QR codes on it. We identified, 275 00:10:04,894 --> 00:10:06,595 you know, immediate local resources. 276 00:10:07,410 --> 00:10:09,910 And right away, we had adoption by providers 277 00:10:10,610 --> 00:10:12,389 to actually start screening, 278 00:10:13,889 --> 00:10:15,750 because then they could they could quickly 279 00:10:16,345 --> 00:10:19,725 link those those folks to to to resources. 280 00:10:19,865 --> 00:10:23,404 So real data real time data attached 281 00:10:24,389 --> 00:10:25,929 to the ways to make it actionable 282 00:10:26,389 --> 00:10:29,269 makes it meaningful data. And absolutely, I think 283 00:10:29,269 --> 00:10:32,089 increasingly we're seeing technology, we're seeing workflows 284 00:10:32,625 --> 00:10:34,725 as we're trying to do those things. 285 00:10:35,904 --> 00:10:38,404 Yeah. Thanks for those add ons, doctor Sarrau. 286 00:10:38,865 --> 00:10:40,544 I think you make a really great point 287 00:10:40,544 --> 00:10:41,044 about 288 00:10:41,440 --> 00:10:43,839 the data being meaningful. That means that it's 289 00:10:43,839 --> 00:10:45,539 actionable. And also it's, 290 00:10:46,159 --> 00:10:48,615 it sounds like it was important to this 291 00:10:48,615 --> 00:10:50,214 in the example that you gave for those 292 00:10:50,214 --> 00:10:52,855 staff members to have kind of recognizable local 293 00:10:52,855 --> 00:10:55,815 resources to refer patients to. So we'd love 294 00:10:55,815 --> 00:10:57,809 to get just just go a little deeper 295 00:10:57,809 --> 00:10:59,570 on this question. You know, how do we 296 00:10:59,570 --> 00:11:02,129 really ensure that available data is meaningful to 297 00:11:02,129 --> 00:11:02,789 an organization 298 00:11:03,169 --> 00:11:03,669 locally, 299 00:11:04,129 --> 00:11:06,514 especially with this community based focus that we're 300 00:11:06,514 --> 00:11:07,175 talking about? 301 00:11:08,434 --> 00:11:10,915 Yeah. I mean, we are kind of you 302 00:11:10,915 --> 00:11:12,274 know, you can have too much of a 303 00:11:12,274 --> 00:11:14,329 good thing. Right? So you know, it used 304 00:11:14,329 --> 00:11:15,690 to be like we need the data, we 305 00:11:15,690 --> 00:11:18,509 need the data, and now we're almost overwhelmed 306 00:11:18,809 --> 00:11:20,754 with sort of all the data that's streaming 307 00:11:20,754 --> 00:11:22,995 at us. And, you know, a good example 308 00:11:22,995 --> 00:11:23,654 of that, 309 00:11:24,195 --> 00:11:26,195 that we're working with a couple of clients 310 00:11:26,195 --> 00:11:30,079 on now is using ADT, real time emission 311 00:11:30,139 --> 00:11:33,360 discharge transfer data. You know, many health plans 312 00:11:33,500 --> 00:11:36,159 and, ACOs have actually purchased 313 00:11:36,764 --> 00:11:38,845 that data, but then they get hit with 314 00:11:38,845 --> 00:11:41,164 a fire hose. Right? You come in Monday 315 00:11:41,164 --> 00:11:42,865 morning and there's like 700 316 00:11:43,779 --> 00:11:46,100 ADTs that the care manager needs to try 317 00:11:46,100 --> 00:11:47,480 to chase down. And so, 318 00:11:47,860 --> 00:11:50,919 you know, you have to have the intelligence 319 00:11:51,220 --> 00:11:53,535 and the rules engine that sits on top 320 00:11:53,535 --> 00:11:54,115 of that 321 00:11:54,415 --> 00:11:55,795 to try to help prioritize 322 00:11:56,335 --> 00:11:58,014 this fire hose of data. And, I mean, 323 00:11:58,014 --> 00:11:59,375 I like to say it's like turning the 324 00:11:59,375 --> 00:12:02,360 fire hose into a soda fountain where, you 325 00:12:02,360 --> 00:12:03,579 know, we really can, 326 00:12:04,279 --> 00:12:07,179 you know, parse out, like, who needs intervention, 327 00:12:07,639 --> 00:12:10,495 who doesn't at all, who's higher priority, what 328 00:12:10,575 --> 00:12:13,054 kind of intervention do they need, and really 329 00:12:13,054 --> 00:12:14,195 turn that into, 330 00:12:14,654 --> 00:12:15,794 actionable workflow. 331 00:12:17,455 --> 00:12:19,899 Yeah. Thanks so much, doctor Schneider. And I 332 00:12:19,899 --> 00:12:21,440 think that leads me really, 333 00:12:21,899 --> 00:12:23,580 really well into the question that I wanted 334 00:12:23,580 --> 00:12:25,580 to ask you both kind of to tie 335 00:12:25,580 --> 00:12:26,639 all of this together. 336 00:12:27,335 --> 00:12:29,754 You know, we're talking about a potentially overwhelming 337 00:12:29,815 --> 00:12:31,815 amount of data that providers may now have 338 00:12:31,815 --> 00:12:32,634 access to, 339 00:12:33,335 --> 00:12:35,420 a lot of opportunities there. But how can 340 00:12:35,420 --> 00:12:37,679 we bring disparate data sources together 341 00:12:37,980 --> 00:12:38,480 and 342 00:12:39,019 --> 00:12:41,519 facilitate that data sharing? And what will really 343 00:12:42,424 --> 00:12:44,664 what will better serve community based organizations and 344 00:12:44,664 --> 00:12:46,504 members here? Can you speak to the role 345 00:12:46,504 --> 00:12:47,164 of technology? 346 00:12:49,065 --> 00:12:51,544 So, I will I'm happy to to actually 347 00:12:51,544 --> 00:12:51,840 get, 348 00:12:52,639 --> 00:12:53,920 to get into that a little bit. So, 349 00:12:53,920 --> 00:12:56,019 you know, so I think technology 350 00:12:56,399 --> 00:12:58,639 today, you know, just like doctor Sharma mentioned, 351 00:12:58,639 --> 00:13:00,500 you know, we're now getting 352 00:13:00,924 --> 00:13:03,644 tremendous amount of data coming at us. And 353 00:13:03,644 --> 00:13:05,804 it's not just data coming at us. It's 354 00:13:05,804 --> 00:13:08,784 coming at us in multiple ways, multiple sources. 355 00:13:09,750 --> 00:13:11,429 And just like doctor Scheinor mentioned, you know, 356 00:13:11,429 --> 00:13:13,190 how do you change a fire hose into 357 00:13:13,190 --> 00:13:14,250 a water fountain? 358 00:13:14,710 --> 00:13:17,610 But the what's even tougher is that 359 00:13:18,294 --> 00:13:21,174 even that fire hose of data is still 360 00:13:21,174 --> 00:13:21,915 not complete, 361 00:13:22,375 --> 00:13:25,575 meaning that, like, for instance, as a as 362 00:13:25,575 --> 00:13:27,115 a Medicaid health plan, 363 00:13:27,509 --> 00:13:29,909 you know, we are getting information, lots of 364 00:13:29,909 --> 00:13:31,370 information about our 365 00:13:31,750 --> 00:13:34,389 members, but we very much recognize that, you 366 00:13:34,389 --> 00:13:36,394 know, all members do not live in isolation. 367 00:13:36,554 --> 00:13:38,315 The, you know, our clients don't live in 368 00:13:38,315 --> 00:13:40,315 isolation. Our patients don't live in isolation. They 369 00:13:40,315 --> 00:13:41,375 live within a community. 370 00:13:42,235 --> 00:13:45,754 And getting that additional information about, you know, 371 00:13:45,754 --> 00:13:47,980 from from what's happening in our neighborhoods, in 372 00:13:47,980 --> 00:13:48,720 our community, 373 00:13:49,259 --> 00:13:50,879 and integrating that data, 374 00:13:51,660 --> 00:13:52,879 with our own data 375 00:13:53,259 --> 00:13:54,174 then makes it, 376 00:13:54,735 --> 00:13:55,714 much more complete, 377 00:13:56,495 --> 00:13:58,334 and also helps us to put the right 378 00:13:58,334 --> 00:14:00,274 types of filters and lenses on. 379 00:14:00,975 --> 00:14:03,350 But to kind of create that kind of 380 00:14:03,350 --> 00:14:05,129 completeness, we we're we're gonna 381 00:14:05,990 --> 00:14:08,789 enhance our predictive models, enhance our care management 382 00:14:08,789 --> 00:14:09,289 models. 383 00:14:09,910 --> 00:14:11,350 We're going to have to be able to 384 00:14:11,350 --> 00:14:13,684 share data, And and that's and and I 385 00:14:13,684 --> 00:14:15,144 think that's where we get 386 00:14:15,605 --> 00:14:17,865 technology being a big part of that solution, 387 00:14:18,004 --> 00:14:18,504 where 388 00:14:18,964 --> 00:14:21,759 you having a technology where it's able to 389 00:14:21,840 --> 00:14:23,679 to pull in data from those different, you 390 00:14:23,679 --> 00:14:26,100 know, places, bring them bringing them together, 391 00:14:27,360 --> 00:14:28,879 and make it and make it a much 392 00:14:28,879 --> 00:14:31,379 more complete picture is gonna be extremely important. 393 00:14:31,894 --> 00:14:33,575 And the other aspect of that is going 394 00:14:33,575 --> 00:14:34,235 to be, 395 00:14:34,695 --> 00:14:36,295 you know, so too often that we think 396 00:14:36,295 --> 00:14:37,514 of ourselves as competitors 397 00:14:37,894 --> 00:14:40,134 when we eventually as we start looking at 398 00:14:40,134 --> 00:14:42,889 this, we're we're really should be, much doing 399 00:14:42,889 --> 00:14:44,589 much more collaborative tech models, 400 00:14:45,129 --> 00:14:48,190 and using technology to enhance that collaboration. 401 00:14:49,424 --> 00:14:51,684 Yeah. And I mean, we all know healthcare 402 00:14:52,304 --> 00:14:54,644 lives in a world of regulation, 403 00:14:55,584 --> 00:14:58,389 that is you know, perhaps not unique among 404 00:14:58,389 --> 00:15:00,389 industries, but is right up there with the 405 00:15:00,389 --> 00:15:03,750 complexity and certainly around data sharing. This is 406 00:15:03,750 --> 00:15:04,250 probably, 407 00:15:04,629 --> 00:15:06,745 you know, and data use is probably one 408 00:15:06,745 --> 00:15:08,924 of the areas where we are particularly, 409 00:15:09,544 --> 00:15:12,365 highly regulated. And I think we're really just, 410 00:15:12,745 --> 00:15:15,004 you know, we're at the beginning of 411 00:15:15,360 --> 00:15:17,779 unlocking the potential here around, 412 00:15:18,639 --> 00:15:21,779 bringing disparate data sources together. You know, certainly 413 00:15:22,695 --> 00:15:23,195 interoperability 414 00:15:23,975 --> 00:15:25,355 is, you know, 415 00:15:26,134 --> 00:15:27,975 a word that's been around for a long 416 00:15:27,975 --> 00:15:30,059 time, but I'm not sure we've 417 00:15:31,019 --> 00:15:33,340 totally fulfilled the promise on that yet. There's 418 00:15:33,340 --> 00:15:34,399 a long way to go. 419 00:15:35,179 --> 00:15:37,039 And again, the role of technology 420 00:15:37,580 --> 00:15:39,995 is, you know, I've really sort of expanded 421 00:15:39,995 --> 00:15:42,254 my viewpoint on what is a true data 422 00:15:42,394 --> 00:15:42,894 platform. 423 00:15:43,434 --> 00:15:45,355 What does that mean in terms of how 424 00:15:45,355 --> 00:15:46,575 data is ingested, 425 00:15:47,139 --> 00:15:49,940 you know, disparate forms? What happens to it, 426 00:15:49,940 --> 00:15:52,580 you know, inside the sausage making? And how 427 00:15:52,580 --> 00:15:54,679 does it actually drive into, 428 00:15:55,139 --> 00:15:58,024 you know, real workflow? And that's where technology 429 00:15:58,084 --> 00:15:58,825 can help. 430 00:15:59,204 --> 00:16:02,485 But technology is not the only answer here. 431 00:16:02,485 --> 00:16:04,985 I mean, actually, our technology is pretty advanced. 432 00:16:05,125 --> 00:16:05,625 Our 433 00:16:05,990 --> 00:16:08,389 our, you know, now we're getting into like 434 00:16:08,389 --> 00:16:08,889 regulatory 435 00:16:09,429 --> 00:16:10,809 and change management 436 00:16:11,269 --> 00:16:14,549 and actually changing the care model ultimately, which 437 00:16:14,549 --> 00:16:16,615 is actually the hard part, that last 438 00:16:17,154 --> 00:16:18,754 mile. But that's where we have so much 439 00:16:18,754 --> 00:16:20,855 potential to, to unlock value. 440 00:16:21,715 --> 00:16:23,634 Yeah. Erica, I agree with doctor Schner. I 441 00:16:23,634 --> 00:16:25,620 think some of the I think the technology 442 00:16:25,620 --> 00:16:26,600 is already here. 443 00:16:27,539 --> 00:16:29,299 I think part of it is the it's 444 00:16:29,299 --> 00:16:32,199 it's the it's a regulatory environment. It's also 445 00:16:33,955 --> 00:16:34,455 looking 446 00:16:34,995 --> 00:16:37,815 for ways to bring the different stakeholders together, 447 00:16:38,595 --> 00:16:40,375 so that we can actually be 448 00:16:41,049 --> 00:16:43,929 making it easier to share that data across 449 00:16:43,929 --> 00:16:47,209 whatever platforms. Easy examples would be we have 450 00:16:47,209 --> 00:16:50,225 multiple EMRs today, but yet still and they 451 00:16:50,225 --> 00:16:51,745 were all came in with a promise of 452 00:16:51,745 --> 00:16:52,245 interoperability. 453 00:16:52,705 --> 00:16:55,504 But but still today, they, you know, critical 454 00:16:55,504 --> 00:16:57,044 data sits within silos. 455 00:16:57,584 --> 00:16:59,205 We've got community based organizations 456 00:16:59,720 --> 00:17:00,220 yet, 457 00:17:00,919 --> 00:17:03,480 within communities yet sometimes we don't know what 458 00:17:03,480 --> 00:17:05,240 exists or who doesn't exist. So I think 459 00:17:05,240 --> 00:17:07,294 technology is there. But to the degree of 460 00:17:07,294 --> 00:17:10,034 doctor Steinbeck, within within the regulatory space 461 00:17:10,335 --> 00:17:11,974 and as well within the, 462 00:17:12,414 --> 00:17:13,875 the public health space, 463 00:17:14,210 --> 00:17:16,210 The more we can create that those types 464 00:17:16,210 --> 00:17:17,829 of collaboration and data sharing 465 00:17:18,369 --> 00:17:19,670 technology will enhance, 466 00:17:20,609 --> 00:17:21,109 what 467 00:17:21,490 --> 00:17:22,789 what what those can do. 468 00:17:24,945 --> 00:17:27,684 I really appreciate those extra points, doctor Saral. 469 00:17:28,144 --> 00:17:31,125 It sounds like the regulatory environment is posing 470 00:17:31,750 --> 00:17:32,809 a number of challenges, 471 00:17:33,190 --> 00:17:35,830 and we're still in the early days of 472 00:17:35,830 --> 00:17:37,690 realizing, you know, true interoperability. 473 00:17:38,150 --> 00:17:38,650 But 474 00:17:39,275 --> 00:17:41,355 sounds like advanced technology is offering a lot 475 00:17:41,355 --> 00:17:41,934 of promise. 476 00:17:42,315 --> 00:17:44,554 And I I appreciate both of your insights 477 00:17:44,554 --> 00:17:46,734 so much today. Thanks for a wonderful discussion. 478 00:17:47,710 --> 00:17:49,169 Thank you. Enjoyed the conversation. 479 00:17:50,269 --> 00:17:51,650 Thank you. It was great. 480 00:17:52,349 --> 00:17:54,509 Thank you both again. And we'd also like 481 00:17:54,509 --> 00:17:57,250 to thank MedDCision for sponsoring today's episode. 482 00:17:57,795 --> 00:17:59,955 You can tune into more podcasts from Becker's 483 00:17:59,955 --> 00:18:02,695 Healthcare by visiting our podcast page at beckershospitalreview.com.