1 00:00:00,640 --> 00:00:03,199 Philips is a health tech leader focused on 2 00:00:03,199 --> 00:00:06,000 innovation that improves the health and well-being of 3 00:00:06,000 --> 00:00:09,460 people. Our health care technology and informatics solutions 4 00:00:09,599 --> 00:00:12,559 help care teams diagnose, treat, and manage more 5 00:00:12,559 --> 00:00:16,244 patients with greater precision, speed, and confidence across 6 00:00:16,244 --> 00:00:19,225 the care journey. With Philips, clinicians are empowered 7 00:00:19,285 --> 00:00:21,765 with streamlined insights in the moments that matter 8 00:00:21,765 --> 00:00:24,904 for every patient. Better care for more people. 9 00:00:25,204 --> 00:00:25,704 Philips. 10 00:00:29,000 --> 00:00:31,179 Hello. Welcome to the Becker's Health Care podcast, 11 00:00:31,400 --> 00:00:33,799 recorded the 9th annual health IT, digital health, 12 00:00:33,799 --> 00:00:36,600 and RCM conference in Chicago. We're joined today 13 00:00:36,600 --> 00:00:38,060 by doctor Bimal Desai, 14 00:00:38,440 --> 00:00:40,920 chief health informatics officer at Children's Hospital of 15 00:00:40,920 --> 00:00:41,420 Philadelphia. 16 00:00:41,945 --> 00:00:43,304 Bimal, to get us started, could you please 17 00:00:43,304 --> 00:00:44,664 tell us a little about your background, your 18 00:00:44,664 --> 00:00:45,565 role in your organization? 19 00:00:46,585 --> 00:00:49,065 Sure. So I'm, Bimal Desai. I'm a practicing 20 00:00:49,065 --> 00:00:51,704 pediatrician and the chief health informatics officer at 21 00:00:51,704 --> 00:00:54,105 CHOP. I've been with the organization for about 22 00:00:54,105 --> 00:00:56,479 25 years. Came there straight out of medical 23 00:00:56,479 --> 00:00:58,020 school and just never left. 24 00:00:58,399 --> 00:01:00,479 I'm board certified in pediatrics and in clinical 25 00:01:00,479 --> 00:01:00,979 informatics. 26 00:01:01,359 --> 00:01:03,940 And I oversee the programs in clinical informatics 27 00:01:04,239 --> 00:01:07,620 and digital health, which in our organization includes, 28 00:01:08,400 --> 00:01:10,099 remote patient monitoring, telehealth, 29 00:01:10,965 --> 00:01:11,465 econsults, 30 00:01:12,004 --> 00:01:13,064 and all those virtual 31 00:01:13,364 --> 00:01:13,864 technologies. 32 00:01:14,564 --> 00:01:15,064 Okay. 33 00:01:15,685 --> 00:01:17,844 As you know, AI, adoption is exploding in 34 00:01:17,844 --> 00:01:19,064 health care right now. 35 00:01:19,444 --> 00:01:21,844 In your view, what's the most, significant or 36 00:01:21,844 --> 00:01:24,504 promising application of this technology right now? 37 00:01:24,805 --> 00:01:25,045 And, 38 00:01:25,799 --> 00:01:28,620 how is this informing your organization's innovation strategy? 39 00:01:29,240 --> 00:01:31,480 Yeah. That's a great question. And, as you 40 00:01:31,480 --> 00:01:33,180 can tell from many of the presentations 41 00:01:33,480 --> 00:01:36,120 here Mhmm. Probably the number one technology that 42 00:01:36,120 --> 00:01:38,920 sort of captivated the imagination of health care 43 00:01:38,920 --> 00:01:40,219 has been ambient, 44 00:01:40,765 --> 00:01:43,584 listening or, artificial intelligence in general. 45 00:01:43,965 --> 00:01:44,465 And, 46 00:01:44,844 --> 00:01:46,545 I think that time will tell 47 00:01:47,004 --> 00:01:48,224 if there are, 48 00:01:49,244 --> 00:01:50,944 ways that we can use AI 49 00:01:51,724 --> 00:01:54,305 beyond ambient Mhmm. That are just as effective, 50 00:01:54,750 --> 00:01:56,349 or just as likely to help our health 51 00:01:56,349 --> 00:01:56,849 systems. 52 00:01:57,230 --> 00:01:58,770 And I'll give you one example. 53 00:01:59,790 --> 00:02:01,250 We had a clinical division, 54 00:02:01,790 --> 00:02:04,030 who did some work to try to measure 55 00:02:04,030 --> 00:02:05,090 how much time 56 00:02:05,549 --> 00:02:06,770 providers spend, 57 00:02:07,444 --> 00:02:09,764 in what we call para clinical work. So 58 00:02:09,764 --> 00:02:11,844 the kind of work that you are required 59 00:02:11,844 --> 00:02:13,784 to do in order to see a patient, 60 00:02:13,844 --> 00:02:15,685 but that's not direct patient care. Right. Right. 61 00:02:15,685 --> 00:02:17,544 So this could be like pre certification, 62 00:02:17,844 --> 00:02:18,664 prior authorization, 63 00:02:19,700 --> 00:02:22,980 letters of medical necessity, complex scheduling, like all 64 00:02:22,980 --> 00:02:25,460 these other healthcare tasks that you have to 65 00:02:25,460 --> 00:02:27,219 do to complete a visit and take care 66 00:02:27,219 --> 00:02:28,520 of a patient, but, 67 00:02:29,060 --> 00:02:31,860 take time away from actually seeing patients. And 68 00:02:31,860 --> 00:02:33,860 what I'm really excited about is the idea 69 00:02:33,860 --> 00:02:35,544 that we might be able to use AI, 70 00:02:35,544 --> 00:02:38,444 whether it's ambient tools, the for note summarization 71 00:02:38,745 --> 00:02:41,064 for generation of these, some of these artifacts 72 00:02:41,064 --> 00:02:42,764 that are required by insurance companies, 73 00:02:43,145 --> 00:02:43,864 whether it's, 74 00:02:44,745 --> 00:02:48,210 robotic process automation, whatever the platforms are, I 75 00:02:48,210 --> 00:02:50,610 think that we're at the cusp of showing 76 00:02:50,610 --> 00:02:53,110 that these technologies will actually have direct utility 77 00:02:53,650 --> 00:02:57,330 or physicians, nurses, and allied health professionals. Mhmm. 78 00:02:58,290 --> 00:03:00,290 And that feels different than it did, like, 79 00:03:00,290 --> 00:03:02,514 even just 3 to 5 years ago, where 80 00:03:02,514 --> 00:03:05,075 I think most health care providers felt like 81 00:03:05,075 --> 00:03:05,814 they were 82 00:03:06,355 --> 00:03:09,075 passive recipients or even victims of technology and 83 00:03:09,075 --> 00:03:09,814 not like, 84 00:03:10,835 --> 00:03:13,314 collaborators who could actually benefit from the technology. 85 00:03:13,314 --> 00:03:15,155 So Right. That's what excites me about this. 86 00:03:15,155 --> 00:03:17,379 Okay. Well, you know, on a daily basis, 87 00:03:17,379 --> 00:03:19,620 health care leaders are managing greater volumes of 88 00:03:19,620 --> 00:03:22,099 data and more devices across a growing number 89 00:03:22,099 --> 00:03:23,479 of care settings and populations. 90 00:03:24,340 --> 00:03:26,979 In this complex environment, what clinical data integration 91 00:03:26,979 --> 00:03:27,959 tools or practices 92 00:03:28,294 --> 00:03:30,694 are you seeing drive improvements in patient outcomes 93 00:03:30,694 --> 00:03:31,354 and operations, 94 00:03:31,894 --> 00:03:33,675 and can you share an example or 2? 95 00:03:34,134 --> 00:03:34,875 For sure. 96 00:03:35,175 --> 00:03:35,995 I've noticed 97 00:03:36,694 --> 00:03:39,435 that inpatient care, specifically in, like, the intensive 98 00:03:39,495 --> 00:03:42,879 care areas Mhmm. Has really exploded in complexity, 99 00:03:43,419 --> 00:03:44,639 we have the ability 100 00:03:45,099 --> 00:03:47,039 to do a lot more real time monitoring 101 00:03:47,419 --> 00:03:50,080 through bedside monitors and integrated devices. 102 00:03:51,019 --> 00:03:53,419 And we're at the point where the volume 103 00:03:53,419 --> 00:03:54,159 of data 104 00:03:54,625 --> 00:03:57,284 and the need for frontline providers to synthesize 105 00:03:57,985 --> 00:04:00,305 and actually make decisions or take action on 106 00:04:00,305 --> 00:04:01,844 those data is becoming 107 00:04:02,305 --> 00:04:05,504 almost overwhelming. Right? So the most promising set 108 00:04:05,504 --> 00:04:06,864 of tools I've seen, and these are not 109 00:04:06,864 --> 00:04:09,284 necessarily new tools, but I think we're finding 110 00:04:09,344 --> 00:04:10,004 a general 111 00:04:10,670 --> 00:04:13,230 utility from them is the types of platforms 112 00:04:13,230 --> 00:04:15,790 that the ECRI Institute calls CHIPS Mhmm. Platforms. 113 00:04:15,790 --> 00:04:18,589 So these are consolidated health informatics platforms or 114 00:04:18,589 --> 00:04:20,670 health information platforms. Correct. So you imagine it 115 00:04:20,670 --> 00:04:23,715 takes real time waveforms from the bedside monitors. 116 00:04:23,775 --> 00:04:25,935 It takes ventilator data. It can take pump 117 00:04:25,935 --> 00:04:28,415 data. It can take, vital signs and lab 118 00:04:28,415 --> 00:04:30,915 results and any other clinical parameters you want. 119 00:04:31,055 --> 00:04:32,654 But the magic is that they can actually 120 00:04:32,654 --> 00:04:34,995 render them in a in a single display 121 00:04:35,615 --> 00:04:36,675 that just 122 00:04:37,139 --> 00:04:38,040 completely reduces 123 00:04:38,579 --> 00:04:40,100 the cognitive burden of having to look in, 124 00:04:40,100 --> 00:04:41,479 like, 15 different places 125 00:04:41,779 --> 00:04:43,620 in the medical record. And I was actually 126 00:04:43,620 --> 00:04:45,639 coincidentally on service a few weeks ago 127 00:04:45,939 --> 00:04:48,100 when I had an, an infant who was 128 00:04:48,100 --> 00:04:50,919 having these unexplained spells. Mhmm. 129 00:04:51,564 --> 00:04:53,084 And what we noticed was that when the 130 00:04:53,084 --> 00:04:55,404 critical care team came down to assess the 131 00:04:55,404 --> 00:04:57,485 child at our request, they were able to 132 00:04:57,485 --> 00:04:59,084 pull up this CHIPS platform that we have 133 00:04:59,084 --> 00:05:00,625 at Children's Hospital of Philadelphia 134 00:05:01,084 --> 00:05:03,805 and immediately diagnose that this child was having 135 00:05:03,805 --> 00:05:07,079 some, cardiac arrhythmias. Mhmm. That historically would have 136 00:05:07,079 --> 00:05:08,919 taken a much, much longer time. This would 137 00:05:08,919 --> 00:05:10,759 not have been a 3 minute task at 138 00:05:10,759 --> 00:05:12,600 the bedside. It would have been way more 139 00:05:12,600 --> 00:05:15,160 complicated. And, it really highlighted for me the 140 00:05:15,160 --> 00:05:17,240 power of these sort of, you know, big 141 00:05:17,240 --> 00:05:19,959 data platforms that can bring insight to the 142 00:05:20,120 --> 00:05:21,399 just a huge amount of data that we're 143 00:05:21,399 --> 00:05:21,899 seeing. 144 00:05:22,654 --> 00:05:25,314 So how can health care organizations better support 145 00:05:25,535 --> 00:05:27,375 IT and clinical teams as they carry out 146 00:05:27,375 --> 00:05:29,615 innovation efforts? And, what are some of the 147 00:05:29,615 --> 00:05:30,754 common pitfalls here? 148 00:05:31,454 --> 00:05:32,654 Well, I think one of the things that 149 00:05:32,654 --> 00:05:35,074 health systems can do is really make innovation 150 00:05:35,454 --> 00:05:37,839 a strategic mandate. Mhmm. And I don't I 151 00:05:37,839 --> 00:05:39,360 mean, more than sort of the lip service, 152 00:05:39,360 --> 00:05:41,519 but I mean, like direct ties to your 153 00:05:41,519 --> 00:05:43,620 strategic plan. So for example, 154 00:05:44,560 --> 00:05:47,699 our organization has a recently refreshed enterprise strategy 155 00:05:48,079 --> 00:05:50,535 that specifically calls out two things that are 156 00:05:50,535 --> 00:05:52,455 of interest to my team. Well, it's all 157 00:05:52,455 --> 00:05:54,295 interesting to my team, right, right, to specifically 158 00:05:54,295 --> 00:05:55,894 that are relevant to my team. One of 159 00:05:55,894 --> 00:05:57,415 them is what we're calling the next gen 160 00:05:57,415 --> 00:05:59,814 operating model. So figuring out how our health 161 00:05:59,814 --> 00:06:01,735 system will actually operate in the future, where 162 00:06:01,735 --> 00:06:03,959 we're going to eliminate waste and ineffectiveness. 163 00:06:04,339 --> 00:06:06,339 And the second one is to develop the 164 00:06:06,339 --> 00:06:08,439 workforce of the future. Mhmm. So that means 165 00:06:08,980 --> 00:06:10,819 cultivating a set of leaders who are facile 166 00:06:10,819 --> 00:06:12,819 with technology, who actually know how we can 167 00:06:12,819 --> 00:06:16,185 use technology to directly improve clinical care. And 168 00:06:16,185 --> 00:06:17,705 the nice thing about having that as our 169 00:06:17,705 --> 00:06:18,764 top level strategic 170 00:06:19,145 --> 00:06:19,645 imperative 171 00:06:20,105 --> 00:06:22,185 is that it gives my team direct visibility, 172 00:06:22,185 --> 00:06:24,105 like every one of my projects, and in 173 00:06:24,105 --> 00:06:26,665 my team's projects directly relate to that strategy. 174 00:06:26,665 --> 00:06:28,685 Right. And so that also helps because 175 00:06:29,029 --> 00:06:30,949 I'm can be somewhat reassured that we'll get 176 00:06:30,949 --> 00:06:33,189 the resourcing and support and visibility that we 177 00:06:33,189 --> 00:06:34,329 need for these initiatives. 178 00:06:34,789 --> 00:06:35,289 Well, 179 00:06:35,669 --> 00:06:37,189 you know, that brings me to my next 180 00:06:37,189 --> 00:06:39,269 question. You talked about, like, fostering that next 181 00:06:39,269 --> 00:06:41,349 leader or the next generation of leaders in 182 00:06:41,349 --> 00:06:42,089 health care. 183 00:06:42,495 --> 00:06:44,574 What advice do you have for these leaders 184 00:06:44,574 --> 00:06:46,754 as they prepare for, you know, further advancements 185 00:06:46,814 --> 00:06:47,395 in technology 186 00:06:47,774 --> 00:06:49,555 and, greater demands for care? 187 00:06:50,895 --> 00:06:54,115 Health care systems are getting larger, more complicated. 188 00:06:54,334 --> 00:06:56,610 Mhmm. They have a lot of competing priorities, 189 00:06:56,670 --> 00:06:57,569 you know, cybersecurity, 190 00:06:59,310 --> 00:07:00,209 financial sustainability, 191 00:07:00,750 --> 00:07:02,990 market expansion, and so on. And I think 192 00:07:02,990 --> 00:07:04,850 my one advice would be to, 193 00:07:05,230 --> 00:07:07,149 if you're a health system leader, even outside 194 00:07:07,149 --> 00:07:09,550 of the technology space, is to say, is 195 00:07:09,550 --> 00:07:10,529 to stay curious, 196 00:07:10,845 --> 00:07:13,025 and to stay connected to the clinical enterprise. 197 00:07:13,324 --> 00:07:15,404 So in high reliability theory, we talked we 198 00:07:15,404 --> 00:07:18,285 talked about sensitivity to operations, like really have 199 00:07:18,285 --> 00:07:19,105 a deep understanding 200 00:07:19,725 --> 00:07:20,925 of what it's like to do the day 201 00:07:20,925 --> 00:07:22,464 to day of patient care delivery. 202 00:07:22,845 --> 00:07:24,545 Because that's where I think 203 00:07:25,139 --> 00:07:27,860 we're discovering there is enormous opportunity for digital 204 00:07:27,860 --> 00:07:28,360 transformation, 205 00:07:28,900 --> 00:07:29,960 for clinical improvement, 206 00:07:30,660 --> 00:07:31,939 and I think we'll be a better health 207 00:07:31,939 --> 00:07:34,660 system because of it. Mhmm. Well, doctor Desai, 208 00:07:34,660 --> 00:07:36,180 you know, it's very evident based on this 209 00:07:36,180 --> 00:07:38,259 conversation. You're very passionate about working with data 210 00:07:38,259 --> 00:07:40,455 and technology. And I'm curious, you know, with 211 00:07:40,455 --> 00:07:42,634 your background at a at a children's hospital, 212 00:07:42,855 --> 00:07:45,254 how is that, say, you know, maybe different 213 00:07:45,254 --> 00:07:47,435 from, you know, with the adoption of technology, 214 00:07:47,574 --> 00:07:48,395 what technologies, 215 00:07:49,014 --> 00:07:51,175 you know, might excite you? What how does 216 00:07:51,175 --> 00:07:53,189 that differ from, you know, say, a big 217 00:07:53,189 --> 00:07:55,110 health system, community health center, and everything in 218 00:07:55,110 --> 00:07:57,750 between? Like, what unique challenges are there? But, 219 00:07:57,750 --> 00:08:00,709 also, like, in that children's hospital space, is 220 00:08:00,709 --> 00:08:03,110 there technologies that you're super excited about coming 221 00:08:03,110 --> 00:08:04,870 down the pipeline 5, 10 years that maybe 222 00:08:04,870 --> 00:08:06,550 a major health system wouldn't be as focused 223 00:08:06,550 --> 00:08:08,415 on? Yeah. I I think there's at least, 224 00:08:08,415 --> 00:08:10,574 well, there's lots of differences, namely the size 225 00:08:10,574 --> 00:08:12,095 and age of our patients. But, 226 00:08:13,055 --> 00:08:15,395 one of the major differences is in reimbursement. 227 00:08:15,455 --> 00:08:17,235 So as you know, children are covered under 228 00:08:17,375 --> 00:08:20,335 Medicaid, not Medicare Mhmm. When they receive public 229 00:08:20,335 --> 00:08:20,835 insurance. 230 00:08:21,300 --> 00:08:21,779 And, 231 00:08:22,259 --> 00:08:24,660 that has some very interesting ramifications, namely that 232 00:08:24,660 --> 00:08:28,019 Medicaid is state administered. So individual states can 233 00:08:28,019 --> 00:08:30,360 opt in or opt out of certain reimbursement 234 00:08:30,500 --> 00:08:31,000 schemes. 235 00:08:31,540 --> 00:08:33,220 And in our state, for example, we've had 236 00:08:33,220 --> 00:08:33,879 to advocate 237 00:08:34,259 --> 00:08:37,355 very heavily for reimbursement for telehealth and remote 238 00:08:37,355 --> 00:08:39,914 patient monitoring and econsults and so on. And 239 00:08:39,914 --> 00:08:41,274 so in some cases, we've been able to 240 00:08:41,274 --> 00:08:43,214 get that concession from the payers, 241 00:08:43,674 --> 00:08:46,554 or sometimes it's required actually legislative advocacy. So 242 00:08:46,554 --> 00:08:48,075 that's sort of one difference is that it's 243 00:08:48,075 --> 00:08:49,754 it's much more fragmented on a state by 244 00:08:49,754 --> 00:08:50,495 state basis. 245 00:08:50,809 --> 00:08:52,570 The second major difference is, 246 00:08:53,690 --> 00:08:57,129 teen privacy. Right? We are beholden to state 247 00:08:57,129 --> 00:08:58,809 laws in almost every state in the United 248 00:08:58,809 --> 00:08:59,309 States, 249 00:08:59,690 --> 00:09:01,769 that requires to protect certain types of health 250 00:09:01,769 --> 00:09:02,429 care data. 251 00:09:03,129 --> 00:09:05,534 And if the teen requests confidential care, we're 252 00:09:05,534 --> 00:09:07,554 not allowed to share it with the parent. 253 00:09:07,774 --> 00:09:09,774 That also differs by state. And so if 254 00:09:09,774 --> 00:09:12,095 you're practicing in Texas, or if you're practicing 255 00:09:12,095 --> 00:09:13,955 in Ohio, if you're practicing in Pennsylvania, 256 00:09:14,334 --> 00:09:16,654 those state by state team privacy laws also 257 00:09:16,654 --> 00:09:17,475 differ dramatically. 258 00:09:18,659 --> 00:09:20,100 And the third difference is that there was 259 00:09:20,100 --> 00:09:21,379 a tonne of stuff I would love to 260 00:09:21,379 --> 00:09:22,919 do with commodity 261 00:09:23,699 --> 00:09:26,579 off the shelf connected monitors, right, like pulse 262 00:09:26,579 --> 00:09:29,000 oximeters and blood pressure cuffs, but 263 00:09:30,019 --> 00:09:31,720 almost none of them have been FDA 264 00:09:32,534 --> 00:09:34,934 approved in children. Oh, really? Most of the 265 00:09:34,934 --> 00:09:37,115 consumer grade devices that you'll find 266 00:09:37,495 --> 00:09:38,714 are actually FDA 267 00:09:39,495 --> 00:09:42,134 cleared for use in patients 18 and older 268 00:09:42,134 --> 00:09:43,274 with a giant caveat 269 00:09:43,575 --> 00:09:45,254 of you can't use this in children in 270 00:09:45,254 --> 00:09:46,679 in patients with preexisting 271 00:09:46,980 --> 00:09:48,519 heart and lung conditions. Right? 272 00:09:48,980 --> 00:09:50,200 Well, that completely 273 00:09:51,059 --> 00:09:52,580 I don't wanna say eliminates, but it very 274 00:09:52,580 --> 00:09:54,420 much hampers our ability to use them in 275 00:09:54,420 --> 00:09:56,500 pediatrics because the populations that I want to 276 00:09:56,500 --> 00:09:58,980 use these on are specifically children with heart 277 00:09:58,980 --> 00:10:01,125 and lung conditions. Right. Right. Like infants who've 278 00:10:01,125 --> 00:10:03,205 undergone congenital heart disease repair and stuff like 279 00:10:03,205 --> 00:10:05,524 that. So that's I think that's a call 280 00:10:05,524 --> 00:10:07,925 really to the device manufacturers is, like, don't 281 00:10:07,925 --> 00:10:09,845 ignore the kids. Right. Like, we really have 282 00:10:09,845 --> 00:10:11,065 a need for these devices, 283 00:10:11,445 --> 00:10:12,804 especially if we wanna be able to do 284 00:10:12,804 --> 00:10:15,720 more remote patient management, and care delivery at 285 00:10:15,720 --> 00:10:17,399 home. And to your point about like, well, 286 00:10:17,399 --> 00:10:19,160 what are the what are the opportunities I 287 00:10:19,160 --> 00:10:21,559 see? I think remote care is exactly where 288 00:10:21,559 --> 00:10:22,860 we should be looking in pediatrics. 289 00:10:23,320 --> 00:10:25,879 Kids are maybe unique from adults in that 290 00:10:25,879 --> 00:10:28,279 they are generally healthy, right? But the vast 291 00:10:28,279 --> 00:10:30,225 majority of kids are very healthy. So if 292 00:10:30,225 --> 00:10:32,065 you look at utilization of health care resources 293 00:10:32,065 --> 00:10:34,544 in kids, it's very much skewed towards the 294 00:10:34,544 --> 00:10:36,865 sickest children in the country. Right? The children 295 00:10:36,865 --> 00:10:39,504 who have surgical conditions and chronic diseases and 296 00:10:39,504 --> 00:10:40,945 stuff like that, but that's a very small 297 00:10:40,945 --> 00:10:43,549 number of children. So if I stand up 298 00:10:43,549 --> 00:10:46,129 remote remote patient monitoring program for children, 299 00:10:46,590 --> 00:10:48,190 there might be a program that only impacts 300 00:10:48,190 --> 00:10:49,990 60 children per year. Right. Right. Right. But 301 00:10:49,990 --> 00:10:52,429 it's incredibly impactful for those 60 kids. Right. 302 00:10:52,429 --> 00:10:54,830 Right. Right. Right. The finances are different. The 303 00:10:54,830 --> 00:10:56,924 numbers are different. The utility is different. And 304 00:10:56,924 --> 00:10:59,004 it's it just deserves a very different thought 305 00:10:59,004 --> 00:11:01,565 process Right. And mental model than adult remote 306 00:11:01,565 --> 00:11:04,524 care. Mhmm. Mhmm. Awesome. Well, doctor Desai, thank 307 00:11:04,524 --> 00:11:05,804 you so much for joining us today on 308 00:11:05,804 --> 00:11:07,985 the show. This conversation is an absolute pleasure. 309 00:11:08,284 --> 00:11:09,565 Thank you so much again, and have a 310 00:11:09,565 --> 00:11:10,845 lovely rest of your day. It was my 311 00:11:10,845 --> 00:11:12,737 pleasure. Thanks for the invitation. Thank 312 00:11:14,317 --> 00:11:14,817 you.