1 00:00:02,240 --> 00:00:02,899 At athenahealth, 2 00:00:03,279 --> 00:00:06,480 we know your ambulatory practice wants healthier, a 3 00:00:06,480 --> 00:00:09,779 healthier business, healthier care teams, and healthier patients. 4 00:00:10,160 --> 00:00:12,480 But the complexities of modern health care tech 5 00:00:12,480 --> 00:00:14,240 make it hard for you and your care 6 00:00:14,240 --> 00:00:15,855 teams to focus on what matters 7 00:00:16,414 --> 00:00:19,295 most? That's where athenahealth can help. Our AI 8 00:00:19,295 --> 00:00:22,594 native all in one solutions reduce administrative burdens, 9 00:00:22,894 --> 00:00:25,875 streamline billing and payments, and deliver critical insights 10 00:00:25,934 --> 00:00:28,734 when clinicians need it most. That means fewer 11 00:00:28,734 --> 00:00:31,614 clicks, more time for patients, and stronger bottom 12 00:00:31,614 --> 00:00:31,829 lines. 13 00:00:32,710 --> 00:00:35,989 Practicing medicine is complex, but running a practice 14 00:00:35,989 --> 00:00:37,850 can be that much simpler with athenahealth. 15 00:00:38,549 --> 00:00:42,250 See how simpler is healthier@athenahealth.com. 16 00:00:44,085 --> 00:00:46,325 This is Laura Dierda with the Becker's Healthcare 17 00:00:46,325 --> 00:00:48,645 podcast. I'm thrilled today to be joined by 18 00:00:48,645 --> 00:00:51,445 doctor Tom Wynne, chief medical executive and director 19 00:00:51,445 --> 00:00:54,164 of minimally invasive surgery at Baptist Health Heart 20 00:00:54,164 --> 00:00:56,640 and Vascular Care, part of Baptist Health South 21 00:00:56,719 --> 00:00:58,960 Florida, and professor and chair of the department 22 00:00:58,960 --> 00:01:02,159 of cardiovascular sciences at FIU. Doctor Wynne, it's 23 00:01:02,159 --> 00:01:03,600 a pleasure to have you on the podcast 24 00:01:03,600 --> 00:01:06,659 today. Thank you for having me. Absolutely. Absolutely. 25 00:01:06,719 --> 00:01:08,879 Now I'm excited for our discussion today because 26 00:01:08,879 --> 00:01:10,560 we are gonna get into some really cool 27 00:01:10,560 --> 00:01:12,935 things that you're doing at the heart vascular 28 00:01:13,075 --> 00:01:15,655 care right now, talking about some wearable technology 29 00:01:15,795 --> 00:01:18,834 devices, some other things that you're doing that 30 00:01:18,834 --> 00:01:20,754 are really interesting when you think about heart 31 00:01:20,754 --> 00:01:23,254 disease and, providing care to patients. 32 00:01:24,180 --> 00:01:26,420 So let's dive right into it. Can you 33 00:01:26,420 --> 00:01:28,099 tell us a little bit more about how, 34 00:01:28,340 --> 00:01:31,780 you're thinking about wearable devices and improving detection 35 00:01:31,780 --> 00:01:32,840 of earlier cardiovascular 36 00:01:33,140 --> 00:01:33,640 issues? 37 00:01:34,579 --> 00:01:36,814 Yeah. Absolutely. Thanks for having me. The problem 38 00:01:36,814 --> 00:01:39,055 with current medicine is that when we look 39 00:01:39,055 --> 00:01:42,115 at patients, we look at snapshots in time. 40 00:01:42,655 --> 00:01:44,415 For example, when you look at a patient's 41 00:01:44,415 --> 00:01:45,395 vital sign, 42 00:01:45,775 --> 00:01:47,215 it's a it's a snapshot in time. It 43 00:01:47,215 --> 00:01:48,575 could be in the morning, in the afternoon, 44 00:01:48,575 --> 00:01:50,255 in the evening. But even then, that's only 45 00:01:50,255 --> 00:01:53,170 three data points. The The advantage of having 46 00:01:53,170 --> 00:01:55,750 wearables is that you can collect data 47 00:01:56,209 --> 00:01:57,189 twenty four seven 48 00:01:57,489 --> 00:01:59,909 and capture data and potentially capture changes 49 00:02:00,369 --> 00:02:02,689 a little bit faster than looking at two 50 00:02:02,689 --> 00:02:03,909 or three data points, 51 00:02:04,564 --> 00:02:05,784 in in one in, 52 00:02:06,644 --> 00:02:07,545 in one day. 53 00:02:08,004 --> 00:02:10,965 The the other, unique element about wearables is 54 00:02:10,965 --> 00:02:11,465 that 55 00:02:11,764 --> 00:02:13,784 perhaps we can pick up on 56 00:02:14,164 --> 00:02:15,944 certain changes in biometrics 57 00:02:16,805 --> 00:02:17,305 that 58 00:02:17,860 --> 00:02:19,860 we didn't think we should consider and look 59 00:02:19,860 --> 00:02:21,539 at, and it could be a predictor. So 60 00:02:21,539 --> 00:02:22,840 I'll I'll give you an example. 61 00:02:23,219 --> 00:02:25,139 We look at heart rate a lot, but 62 00:02:25,139 --> 00:02:26,900 something we don't look at a lot is 63 00:02:26,900 --> 00:02:28,120 the heart rate variability, 64 00:02:28,739 --> 00:02:30,739 or we don't look at resting heart rate. 65 00:02:30,739 --> 00:02:32,180 Because to look at the resting heart rate, 66 00:02:32,180 --> 00:02:34,655 it takes, you know, more more data 67 00:02:35,115 --> 00:02:37,375 points. We're working with a project in collaboration 68 00:02:37,915 --> 00:02:38,655 with MGH, 69 00:02:40,314 --> 00:02:43,375 using wearables to predict postoperative complications 70 00:02:43,754 --> 00:02:44,974 after cardiothoracic 71 00:02:45,354 --> 00:02:45,854 surgery. 72 00:02:46,235 --> 00:02:47,294 And what's fascinating 73 00:02:47,594 --> 00:02:48,415 is that 74 00:02:48,870 --> 00:02:50,169 the group has found 75 00:02:50,710 --> 00:02:53,450 that there have been changes in one's biometric 76 00:02:54,710 --> 00:02:57,050 after thoracic surgery that happens 77 00:02:57,669 --> 00:02:59,990 before the patient even realizes it happens. So 78 00:02:59,990 --> 00:03:02,790 for example, you know, let's say after after 79 00:03:02,790 --> 00:03:03,770 thoracic surgery, 80 00:03:04,185 --> 00:03:05,485 you develop a pneumonia, 81 00:03:05,865 --> 00:03:08,125 and you don't realize it until day 10, 82 00:03:08,344 --> 00:03:10,685 but there could be changes in your biometrics 83 00:03:10,745 --> 00:03:12,045 that happen at day eight. 84 00:03:12,825 --> 00:03:14,985 This is super important because now it allows 85 00:03:14,985 --> 00:03:15,485 us 86 00:03:15,784 --> 00:03:16,284 to 87 00:03:16,585 --> 00:03:17,085 predict 88 00:03:18,060 --> 00:03:20,960 when a complication might happen, but more importantly, 89 00:03:21,260 --> 00:03:23,599 be able to intervene and address the complications 90 00:03:23,740 --> 00:03:24,960 so it doesn't escalate. 91 00:03:26,060 --> 00:03:28,620 That's fascinating to hear. You know, truly interesting 92 00:03:28,620 --> 00:03:30,780 that we have the ability with the technology 93 00:03:30,780 --> 00:03:32,925 and the biometrics to see some of those 94 00:03:32,925 --> 00:03:34,625 things and and be more predictive. 95 00:03:35,245 --> 00:03:36,365 Can you tell me a little bit too 96 00:03:36,365 --> 00:03:38,125 about how these devices are playing a role 97 00:03:38,125 --> 00:03:39,985 in preventing heart related emergencies? 98 00:03:41,165 --> 00:03:43,585 We don't we don't have one, directly, 99 00:03:44,444 --> 00:03:47,379 to prevent heart related emergencies yet. There there 100 00:03:47,379 --> 00:03:48,759 are some projects that that 101 00:03:49,060 --> 00:03:51,300 we're working on. I can't tell you about 102 00:03:51,300 --> 00:03:52,599 the study at FIU 103 00:03:53,300 --> 00:03:55,400 using devices and AI 104 00:03:55,860 --> 00:03:57,479 to prevent to predict 105 00:03:57,780 --> 00:04:00,075 whether or not a patient could get could 106 00:04:00,075 --> 00:04:02,495 have epilepsy or how could have a seizure, 107 00:04:02,715 --> 00:04:05,294 which is pretty fascinating. In patient with epilepsy, 108 00:04:05,594 --> 00:04:07,115 they want to predict when a patient would 109 00:04:07,115 --> 00:04:07,855 have a seizure, 110 00:04:08,794 --> 00:04:10,094 could be very transformative. 111 00:04:10,635 --> 00:04:12,495 Right now, we don't have any current 112 00:04:13,230 --> 00:04:15,810 commercially available devices out there 113 00:04:16,270 --> 00:04:16,770 to 114 00:04:17,949 --> 00:04:18,449 predict 115 00:04:18,910 --> 00:04:21,470 any heart related complications, but there's certainly a 116 00:04:21,470 --> 00:04:23,949 lot of trials and studies out there that 117 00:04:23,949 --> 00:04:24,850 are very promising, 118 00:04:25,629 --> 00:04:27,569 that could potentially in the future predict, 119 00:04:28,264 --> 00:04:30,524 when someone might have a heart related complication. 120 00:04:31,944 --> 00:04:33,464 Got it. That's helpful to know and, you 121 00:04:33,464 --> 00:04:36,024 know, really interesting that, you look into the 122 00:04:36,024 --> 00:04:37,784 future, you can see some of these things, 123 00:04:38,185 --> 00:04:40,044 playing out and being really meaningful. 124 00:04:40,425 --> 00:04:42,720 Now I I'm curious. I wanted to ask 125 00:04:42,720 --> 00:04:45,060 you a bit about heart monitors too. How 126 00:04:45,120 --> 00:04:47,439 accurate are the wearable heart monitors compared to 127 00:04:47,439 --> 00:04:49,519 some of the traditional clinical equipment that you 128 00:04:49,519 --> 00:04:51,519 use when you're thinking about patients with heart 129 00:04:51,519 --> 00:04:52,019 disease? 130 00:04:53,055 --> 00:04:55,394 The it it depends on what heart monitor 131 00:04:55,455 --> 00:04:56,115 you use. 132 00:04:56,574 --> 00:04:59,555 I would say that they are reason reasonably 133 00:04:59,694 --> 00:05:00,194 accurate, 134 00:05:00,574 --> 00:05:02,415 but it's probably not as accurate as the 135 00:05:02,415 --> 00:05:04,574 medical grade, the hospital grade heart monitors that 136 00:05:04,574 --> 00:05:05,235 we have, 137 00:05:05,774 --> 00:05:06,834 here in the hospital. 138 00:05:07,610 --> 00:05:08,589 But it's accurate 139 00:05:09,129 --> 00:05:09,629 enough. 140 00:05:10,089 --> 00:05:11,629 It's accurate enough to 141 00:05:12,250 --> 00:05:14,490 figure out what your heart rate is. It's 142 00:05:14,490 --> 00:05:15,389 accurate enough 143 00:05:15,689 --> 00:05:16,669 to figure out, 144 00:05:17,610 --> 00:05:20,250 the changes in your heart rate. It's accurate 145 00:05:20,250 --> 00:05:20,750 enough 146 00:05:21,555 --> 00:05:23,955 to see whether or not your rhythm is 147 00:05:23,955 --> 00:05:25,875 in normal sinus rhythm or if you have 148 00:05:25,875 --> 00:05:27,715 some other funky rhythm, whether it be atrial 149 00:05:27,715 --> 00:05:30,275 fibrillation or some other type of rhythm. It's 150 00:05:30,275 --> 00:05:31,975 not perfect, but I think 151 00:05:32,355 --> 00:05:34,514 it's good enough, and it's certainly better than 152 00:05:34,514 --> 00:05:35,014 nothing. 153 00:05:36,169 --> 00:05:38,430 That's a great point. And, you know, definitely 154 00:05:38,969 --> 00:05:40,810 knowing what's kind of coming up and and 155 00:05:40,810 --> 00:05:42,909 being able to monitor as closely as possible, 156 00:05:43,129 --> 00:05:44,829 like you said, how many changes 157 00:05:45,370 --> 00:05:46,969 with the heart monitor can make a big 158 00:05:46,969 --> 00:05:49,289 difference in patient's care and how they're quickly 159 00:05:49,289 --> 00:05:50,704 they're picking up on some of those 160 00:05:51,165 --> 00:05:53,964 changes. Now in what ways can the continuous 161 00:05:53,964 --> 00:05:56,845 heart monitoring reduce the hospital visits and health 162 00:05:56,845 --> 00:05:58,604 care costs in particular? I know that's a 163 00:05:58,604 --> 00:06:00,125 really big goal for a lot of, 164 00:06:00,604 --> 00:06:02,604 hospitals and systems today, just figure out how 165 00:06:02,604 --> 00:06:04,225 they can improve quality but also, 166 00:06:04,685 --> 00:06:05,665 reduce costs. 167 00:06:06,580 --> 00:06:07,399 No. Absolutely. 168 00:06:08,100 --> 00:06:10,680 I guess the first thing is that sometimes 169 00:06:10,980 --> 00:06:11,959 for us to 170 00:06:12,819 --> 00:06:15,000 know that we're sick, it's too late. 171 00:06:15,459 --> 00:06:16,899 And by the time you feel that you're 172 00:06:16,899 --> 00:06:17,399 sick, 173 00:06:18,019 --> 00:06:20,740 things you know, the cat's already, you know, 174 00:06:20,740 --> 00:06:21,639 out of the bag. 175 00:06:22,395 --> 00:06:25,055 These devices have the ability, again, to predict 176 00:06:25,355 --> 00:06:27,835 something bad happening before it even reaches your 177 00:06:27,835 --> 00:06:30,335 sensorium and and have you realize it. 178 00:06:31,115 --> 00:06:31,855 From a 179 00:06:32,314 --> 00:06:35,595 clinical standpoint, that's obviously good because it allows 180 00:06:35,835 --> 00:06:38,339 it prevents a progression of of whatever you 181 00:06:38,339 --> 00:06:40,839 might develop. But also from a hospital 182 00:06:41,459 --> 00:06:42,520 financial standpoint, 183 00:06:43,379 --> 00:06:44,360 it has huge 184 00:06:45,139 --> 00:06:47,319 potential and implications to decrease, 185 00:06:48,420 --> 00:06:51,480 the the rate of readmissions to hospitals. 186 00:06:52,714 --> 00:06:53,615 You can imagine 187 00:06:54,074 --> 00:06:54,574 that 188 00:06:54,954 --> 00:06:57,134 we have a huge societal burden 189 00:06:57,675 --> 00:06:59,615 of patients being discharged 190 00:07:00,154 --> 00:07:02,095 and then being readmitted to the hospital, 191 00:07:03,435 --> 00:07:05,035 especially if we can find a way to 192 00:07:05,035 --> 00:07:06,254 prevent those readmissions 193 00:07:06,794 --> 00:07:07,615 and capturing 194 00:07:08,770 --> 00:07:09,750 the the patient's, 195 00:07:10,770 --> 00:07:13,330 illness sooner, I I think this would be 196 00:07:13,330 --> 00:07:13,830 transformative. 197 00:07:14,610 --> 00:07:16,129 Huge health care costs and be able to 198 00:07:16,129 --> 00:07:17,030 prevent readmissions. 199 00:07:17,650 --> 00:07:19,330 In fact, it's actually one of our quality 200 00:07:19,330 --> 00:07:22,290 metrics, hospital readmissions, something that we look at 201 00:07:22,290 --> 00:07:23,110 very carefully 202 00:07:23,415 --> 00:07:24,395 and we track. 203 00:07:25,335 --> 00:07:27,814 That's helpful to understand that relationship between the 204 00:07:27,814 --> 00:07:29,675 two and really being able to, 205 00:07:30,214 --> 00:07:33,175 leverage the technology for better care as well 206 00:07:33,175 --> 00:07:35,495 as to reduce the cost and and overall 207 00:07:35,495 --> 00:07:38,060 spend. Now I'm curious too. One of the 208 00:07:38,060 --> 00:07:39,740 things that we've been hearing more and more 209 00:07:39,740 --> 00:07:40,879 about today is, 210 00:07:41,339 --> 00:07:41,839 cybersecurity 211 00:07:42,139 --> 00:07:45,100 and privacy for patient data, especially as more 212 00:07:45,100 --> 00:07:46,240 technologies and wearables, 213 00:07:47,420 --> 00:07:49,100 are in use. So how do you think 214 00:07:49,100 --> 00:07:51,259 about that? What's important for patients as well 215 00:07:51,259 --> 00:07:52,485 as clinicians to know, 216 00:07:52,964 --> 00:07:56,004 when they're thinking about wearable devices and the 217 00:07:56,004 --> 00:07:57,464 data privacy and security? 218 00:07:58,485 --> 00:08:00,884 No. I think that it's it's very important. 219 00:08:00,884 --> 00:08:02,104 It it's our data, 220 00:08:02,884 --> 00:08:04,805 and we have to make sure that it 221 00:08:04,805 --> 00:08:05,944 is secure 222 00:08:06,870 --> 00:08:08,889 and does not get released. I think that, 223 00:08:09,350 --> 00:08:11,509 this is an area that's new and growing 224 00:08:11,509 --> 00:08:13,750 so fast that we need some some form 225 00:08:13,750 --> 00:08:14,410 of regulation, 226 00:08:15,350 --> 00:08:17,449 to make sure that the data is secure. 227 00:08:17,509 --> 00:08:19,050 I think I think there are 228 00:08:19,430 --> 00:08:22,009 guardrails out there already to prevent 229 00:08:22,334 --> 00:08:23,074 patient data, 230 00:08:23,454 --> 00:08:24,894 from being released, but I think we just 231 00:08:24,894 --> 00:08:26,654 need to watch it very, very carefully because 232 00:08:26,654 --> 00:08:28,274 it is it is our data. 233 00:08:28,654 --> 00:08:30,115 The flip side of that is 234 00:08:30,415 --> 00:08:33,554 you can imagine to do meaningful research 235 00:08:34,110 --> 00:08:36,190 in this space, in the AI space, in 236 00:08:36,190 --> 00:08:38,509 the machine learning space, we need a lot 237 00:08:38,509 --> 00:08:39,089 of data. 238 00:08:39,470 --> 00:08:41,730 And the more data we have access to, 239 00:08:42,669 --> 00:08:45,149 the more efficient and more accurate the models 240 00:08:45,149 --> 00:08:46,589 can be. So it's a little bit of 241 00:08:46,589 --> 00:08:48,554 a balance because we need the data to 242 00:08:48,554 --> 00:08:49,215 be able 243 00:08:49,595 --> 00:08:50,654 to come up with these 244 00:08:51,434 --> 00:08:53,514 breakthrough discoveries, but we have to be cautious 245 00:08:53,514 --> 00:08:54,794 with the data and protect it in such 246 00:08:54,794 --> 00:08:56,475 a way where it doesn't leak out and 247 00:08:56,475 --> 00:08:57,695 get into the wrong hands. 248 00:08:58,554 --> 00:09:00,475 That makes sense. And thank you for clarifying 249 00:09:00,475 --> 00:09:01,914 just the state of the union of where 250 00:09:01,914 --> 00:09:03,539 things are at with that type of data 251 00:09:03,539 --> 00:09:04,919 and how we can move forward. 252 00:09:05,460 --> 00:09:07,620 Now I I wanted to dig a little 253 00:09:07,620 --> 00:09:08,899 bit deeper into as well, 254 00:09:09,620 --> 00:09:11,960 a collaboration that you're doing with FIU, 255 00:09:12,740 --> 00:09:14,600 using voice technology and 256 00:09:14,899 --> 00:09:15,460 and whether, 257 00:09:16,014 --> 00:09:17,934 it's something that can actually be the next 258 00:09:17,934 --> 00:09:19,315 vital sign for, 259 00:09:19,774 --> 00:09:21,375 patients when they're going to the doctor to 260 00:09:21,375 --> 00:09:24,014 help identify some issues that could be upcoming. 261 00:09:24,014 --> 00:09:25,294 So could you tell us a little bit 262 00:09:25,294 --> 00:09:26,195 more about that? 263 00:09:26,654 --> 00:09:29,639 I'm I'm super excited about about this collaboration 264 00:09:29,860 --> 00:09:32,259 with FIU and an example of something that 265 00:09:32,259 --> 00:09:35,059 we we couldn't do without FIU and FIU 266 00:09:35,059 --> 00:09:36,759 probably couldn't do without us. 267 00:09:37,299 --> 00:09:39,460 When we look at typical vital signs, your 268 00:09:39,460 --> 00:09:42,759 heart rate, your blood pressure, your O2 saturation, 269 00:09:43,205 --> 00:09:44,904 Those are kind of standard vital signs. 270 00:09:45,365 --> 00:09:48,804 But the hypothesis is that couldn't voice or 271 00:09:48,804 --> 00:09:51,964 could voice be an additional vital sign. May 272 00:09:51,964 --> 00:09:53,365 I ask you, when was the last time 273 00:09:53,365 --> 00:09:55,125 you talked to a friend or a loved 274 00:09:55,125 --> 00:09:57,929 one and you said, wow, that person doesn't 275 00:09:57,929 --> 00:09:59,450 sound right. You can really put your finger 276 00:09:59,450 --> 00:10:00,889 on it, but that person sounds like they 277 00:10:00,889 --> 00:10:03,470 could be sick. Or you yourself are sick 278 00:10:03,529 --> 00:10:05,210 and you realize that there's something going on 279 00:10:05,210 --> 00:10:06,110 with your voice. 280 00:10:06,490 --> 00:10:08,830 You know, there's some there's some objective data 281 00:10:08,889 --> 00:10:10,910 to actually support this. So if you imagine 282 00:10:11,404 --> 00:10:13,184 that for me to talk right now, 283 00:10:14,205 --> 00:10:14,945 it requires 284 00:10:15,325 --> 00:10:17,725 all these neural networks to come into play 285 00:10:17,725 --> 00:10:18,865 for me to formulate 286 00:10:19,325 --> 00:10:21,965 a a relatively complete sentence. But that's actually 287 00:10:21,965 --> 00:10:23,825 not enough. Once I have this sentence 288 00:10:24,205 --> 00:10:25,105 in my mind, 289 00:10:25,644 --> 00:10:26,144 eventually, 290 00:10:26,960 --> 00:10:29,200 there has to be these motors that have 291 00:10:29,200 --> 00:10:31,200 to activate it. It actually ends up yeah. 292 00:10:31,200 --> 00:10:32,960 It actually end up activating about a 100 293 00:10:32,960 --> 00:10:35,279 neuromuscular units just to be able to to 294 00:10:35,279 --> 00:10:35,779 phonate 295 00:10:36,240 --> 00:10:38,720 and and articulate and say is is to 296 00:10:38,720 --> 00:10:40,179 say what you want to say. 297 00:10:40,855 --> 00:10:43,195 In summary, it's this complex interplay 298 00:10:43,735 --> 00:10:45,835 of your brain being able to formulate stuff. 299 00:10:46,054 --> 00:10:48,855 And then after that, the muscles and the 300 00:10:48,855 --> 00:10:51,335 firing to be able to articulate things is 301 00:10:51,335 --> 00:10:53,014 why you're able to hear what I'm I'm 302 00:10:53,014 --> 00:10:53,995 saying right now. 303 00:10:54,629 --> 00:10:56,470 But something that hasn't really been explored or 304 00:10:56,470 --> 00:10:57,370 studied at all. 305 00:10:57,670 --> 00:11:00,790 So the hypothesis is that, well, instead of 306 00:11:00,790 --> 00:11:02,870 a vital sign, a heart rate predicted when 307 00:11:02,870 --> 00:11:04,629 the patient's not gonna do well, what if 308 00:11:04,629 --> 00:11:05,610 we use voice? 309 00:11:06,149 --> 00:11:08,549 There was a study that FIU did with 310 00:11:08,549 --> 00:11:09,610 high school students, 311 00:11:09,934 --> 00:11:11,855 and they got a large number of high 312 00:11:11,855 --> 00:11:14,095 school students that had a good number of 313 00:11:14,095 --> 00:11:16,115 baseline data on their voice. 314 00:11:16,735 --> 00:11:17,855 Some of these and and a lot of 315 00:11:17,855 --> 00:11:19,315 these high school students were athletes. 316 00:11:19,934 --> 00:11:20,434 Then 317 00:11:20,894 --> 00:11:21,294 a good 318 00:11:22,009 --> 00:11:24,490 a small percentage of these students were, 319 00:11:24,889 --> 00:11:25,389 athletes 320 00:11:25,929 --> 00:11:26,990 and had concussions. 321 00:11:27,529 --> 00:11:29,610 And they actually did the voice study after 322 00:11:29,610 --> 00:11:31,929 they got the concussion. And as you can 323 00:11:31,929 --> 00:11:34,269 imagine, their voices sounded very different. 324 00:11:35,865 --> 00:11:37,245 So so that was a 325 00:11:37,945 --> 00:11:40,045 a a proof, of concept scenario. 326 00:11:40,665 --> 00:11:42,445 What we're looking at is, 327 00:11:42,745 --> 00:11:45,785 let's say you have baseline information on someone's 328 00:11:45,785 --> 00:11:46,285 voice. 329 00:11:46,985 --> 00:11:48,045 They have surgery, 330 00:11:48,509 --> 00:11:50,690 and then you record their voice daily 331 00:11:51,149 --> 00:11:53,070 until and you can imagine right after surgery, 332 00:11:53,070 --> 00:11:54,830 their voice probably won't sound the same. The 333 00:11:54,830 --> 00:11:56,429 next day after surgery, it probably won't sound 334 00:11:56,429 --> 00:11:57,950 the same. But at some point, their voice 335 00:11:57,950 --> 00:11:58,690 should normalize 336 00:11:59,149 --> 00:12:00,769 back to it was before surgery. 337 00:12:01,154 --> 00:12:03,715 So we have now this presurgery, right after 338 00:12:03,715 --> 00:12:05,095 surgery, time to normalization. 339 00:12:05,715 --> 00:12:07,394 But let's say we continue to follow that 340 00:12:07,394 --> 00:12:09,475 voice. And what if, you know, by day 341 00:12:09,475 --> 00:12:11,795 30 or day 60, we realize that, well, 342 00:12:11,795 --> 00:12:13,715 the voice is changing again. Could it be 343 00:12:13,715 --> 00:12:15,335 a predictor or sign of something? 344 00:12:15,860 --> 00:12:18,019 And that's what our our our hypothesis is. 345 00:12:18,019 --> 00:12:18,759 That one, 346 00:12:19,460 --> 00:12:20,279 let's define 347 00:12:20,899 --> 00:12:23,940 when the voice normalizes after certain operations, certain 348 00:12:23,940 --> 00:12:24,440 procedures. 349 00:12:24,820 --> 00:12:27,639 But if later on, changes in your voice 350 00:12:27,860 --> 00:12:28,920 could then predict 351 00:12:29,575 --> 00:12:31,815 beforehand something bad is gonna happen to you. 352 00:12:31,815 --> 00:12:33,334 So this is why we think it's super 353 00:12:33,334 --> 00:12:33,834 exciting. 354 00:12:34,534 --> 00:12:36,615 Imagine it's a lot easier vital sign as 355 00:12:36,615 --> 00:12:39,095 well instead of having to purchase machines to 356 00:12:39,095 --> 00:12:40,534 latch onto you to check your heart rate 357 00:12:40,534 --> 00:12:41,674 and your o two saturation. 358 00:12:42,639 --> 00:12:45,039 We could potentially have apps that listen to 359 00:12:45,039 --> 00:12:46,720 you or you who are according to your 360 00:12:46,720 --> 00:12:49,039 app, and then it be able to potentially 361 00:12:49,039 --> 00:12:51,679 diagnose what's going on. So we're excited about 362 00:12:51,679 --> 00:12:53,759 it. More to come. But, this is a 363 00:12:53,759 --> 00:12:55,600 a a great study that we're doing in 364 00:12:55,600 --> 00:12:56,740 partnership with FIU. 365 00:12:57,205 --> 00:12:59,205 That's amazing to hear. And, you know, really, 366 00:12:59,205 --> 00:12:59,705 really, 367 00:13:00,485 --> 00:13:03,605 cool application of technology and ideas around how 368 00:13:03,605 --> 00:13:06,345 you can take, some of the different symptoms 369 00:13:06,404 --> 00:13:08,485 or or ways that our body reacts before 370 00:13:08,485 --> 00:13:09,784 we even know it to, 371 00:13:10,725 --> 00:13:12,750 something that's going on or something not being 372 00:13:12,750 --> 00:13:15,149 right and and then being able to level 373 00:13:15,149 --> 00:13:17,629 it up. And, really, ideally, as you said, 374 00:13:17,950 --> 00:13:19,470 take care of some of the issues ahead 375 00:13:19,470 --> 00:13:20,990 of time. And that brings me to my 376 00:13:20,990 --> 00:13:22,509 next question is, you know, when you're looking 377 00:13:22,509 --> 00:13:23,250 at technology, 378 00:13:23,950 --> 00:13:24,850 I feel like the 379 00:13:25,225 --> 00:13:28,264 capacity and capabilities are so much more complex 380 00:13:28,264 --> 00:13:31,304 now, just because we have artificial intelligence or 381 00:13:31,304 --> 00:13:33,085 predictive capabilities and more. 382 00:13:33,625 --> 00:13:35,225 So is there anything else there that you 383 00:13:35,225 --> 00:13:36,825 are really excited about when you look into 384 00:13:36,825 --> 00:13:38,899 the future, and how do you see AI 385 00:13:38,899 --> 00:13:41,320 and and other technologies continuing to evolve, 386 00:13:41,779 --> 00:13:43,299 especially when it has to do with heart 387 00:13:43,299 --> 00:13:43,799 care? 388 00:13:44,659 --> 00:13:45,940 I think we're only at the tip of 389 00:13:45,940 --> 00:13:48,039 the iceberg. I think our world now 390 00:13:48,419 --> 00:13:49,159 will be 391 00:13:50,035 --> 00:13:51,095 incredibly different 392 00:13:51,634 --> 00:13:53,735 in the next three, four, five years, 393 00:13:54,754 --> 00:13:55,654 for the better, 394 00:13:56,595 --> 00:13:57,254 I hope. 395 00:13:57,955 --> 00:14:00,195 We'll be a lot more efficient about making 396 00:14:00,195 --> 00:14:01,634 decisions. I think we'll be a lot more 397 00:14:01,634 --> 00:14:03,475 accurate about making decisions. I think we'll be 398 00:14:03,475 --> 00:14:04,774 able to to predict 399 00:14:06,230 --> 00:14:07,929 when things will happen. 400 00:14:08,629 --> 00:14:10,169 I also wanted to offer 401 00:14:10,549 --> 00:14:12,490 a word of warning as well. We recognize 402 00:14:12,549 --> 00:14:13,049 that, 403 00:14:13,990 --> 00:14:14,490 sometimes 404 00:14:15,509 --> 00:14:17,350 too much information can be bad. You know, 405 00:14:17,350 --> 00:14:19,909 let's say if there is a technology to 406 00:14:19,909 --> 00:14:20,409 predict 407 00:14:20,884 --> 00:14:23,524 your life expectancy or when things bad things 408 00:14:23,524 --> 00:14:25,924 will happen to your life down to, you 409 00:14:25,924 --> 00:14:28,164 know, the minute or the day, that could 410 00:14:28,164 --> 00:14:30,164 be exciting, but is that something that we 411 00:14:30,164 --> 00:14:31,384 really want to know? 412 00:14:31,764 --> 00:14:34,904 There are technologies out there that can 413 00:14:35,889 --> 00:14:36,389 replicate 414 00:14:37,330 --> 00:14:38,149 your voice, 415 00:14:38,450 --> 00:14:40,709 my voice, replicate my image, 416 00:14:41,169 --> 00:14:43,330 and create AI agents so that you could 417 00:14:43,330 --> 00:14:45,409 talk to me and or you with a 418 00:14:45,409 --> 00:14:47,809 certain level level of expertise. So that allows 419 00:14:47,809 --> 00:14:50,065 me to be allows me to scale and 420 00:14:50,065 --> 00:14:51,985 be a lot more efficient. But then you 421 00:14:51,985 --> 00:14:53,445 also can imagine that 422 00:14:53,825 --> 00:14:55,424 it can if it got if if got 423 00:14:55,424 --> 00:14:57,424 into the wrong hands, it could allow a 424 00:14:57,424 --> 00:15:00,165 lot of fraudulent act activities as well where 425 00:15:01,199 --> 00:15:03,459 it's someone that is not me 426 00:15:03,919 --> 00:15:06,019 that is pretending to be me and 427 00:15:07,360 --> 00:15:10,240 doing bad things. So I'm excited about the 428 00:15:10,240 --> 00:15:10,740 future. 429 00:15:11,199 --> 00:15:13,539 I think, overall, it's gonna be very transformative, 430 00:15:14,000 --> 00:15:15,924 and the world's gonna change for the better. 431 00:15:15,924 --> 00:15:18,085 But I do think and know that we 432 00:15:18,085 --> 00:15:20,004 have to approach it with caution and with 433 00:15:20,004 --> 00:15:20,985 appropriate guardrails, 434 00:15:21,924 --> 00:15:23,384 to make sure that this technology, 435 00:15:24,245 --> 00:15:25,384 won't get out of hand. 436 00:15:26,325 --> 00:15:28,725 Got it. That's really, you know, interesting to 437 00:15:28,725 --> 00:15:31,589 think about both the very real benefits and 438 00:15:31,589 --> 00:15:34,409 then the the challenges and risks involved with 439 00:15:34,470 --> 00:15:36,089 continuing to expand this technology, 440 00:15:36,470 --> 00:15:38,709 and doing it responsibly, especially in the health 441 00:15:38,709 --> 00:15:41,669 care setting. It's such a unique space and 442 00:15:41,669 --> 00:15:44,294 and something that requires a lot of care 443 00:15:44,454 --> 00:15:46,855 in order to get right, and high stakes 444 00:15:46,855 --> 00:15:49,414 as well. I'm curious, you know, when you 445 00:15:49,414 --> 00:15:52,855 look at, everything you're doing, I know a 446 00:15:52,855 --> 00:15:55,975 really big part of, what you're doing at 447 00:15:55,975 --> 00:15:57,894 Baptist Health South Florida as well as, you 448 00:15:57,894 --> 00:15:59,699 know, many health systems across the country is 449 00:15:59,699 --> 00:16:01,639 looking at some of the health disparities, 450 00:16:02,259 --> 00:16:04,179 and trying to close that gap. How do 451 00:16:04,179 --> 00:16:05,000 you see technology, 452 00:16:05,620 --> 00:16:07,699 playing a role in being able to reduce 453 00:16:07,699 --> 00:16:11,240 those health disparities and, make monitoring more accessible? 454 00:16:12,115 --> 00:16:14,054 It's a equalizer. You know? 455 00:16:14,995 --> 00:16:17,495 By by being able to access technology 456 00:16:18,595 --> 00:16:21,095 to answer questions, to diagnose 457 00:16:21,554 --> 00:16:22,054 patients, 458 00:16:22,915 --> 00:16:24,375 to provide therapeutics 459 00:16:25,554 --> 00:16:27,095 at a fraction of cost 460 00:16:27,620 --> 00:16:29,559 could then now allow us to 461 00:16:30,259 --> 00:16:31,860 spread a lot of what we know about 462 00:16:31,860 --> 00:16:32,360 medicine 463 00:16:33,059 --> 00:16:35,139 to people who wouldn't otherwise have access to 464 00:16:35,139 --> 00:16:35,639 it, 465 00:16:36,500 --> 00:16:37,559 and potentially 466 00:16:38,339 --> 00:16:40,120 even decrease health care costs. 467 00:16:41,034 --> 00:16:42,654 We we also know that 468 00:16:43,195 --> 00:16:44,654 with disparities, there's 469 00:16:45,034 --> 00:16:48,394 different levels of disparities in in medical knowledge 470 00:16:48,394 --> 00:16:49,695 and medical understanding, 471 00:16:50,235 --> 00:16:51,215 as you can imagine. 472 00:16:51,674 --> 00:16:53,995 But now there there are technologies out there 473 00:16:53,995 --> 00:16:55,835 that we can use and leverage and be 474 00:16:55,835 --> 00:16:56,575 able to 475 00:16:57,240 --> 00:17:00,919 translate and interpret medical information so that it's 476 00:17:00,919 --> 00:17:01,419 digestible 477 00:17:02,279 --> 00:17:03,740 not only for physicians, 478 00:17:04,359 --> 00:17:06,460 so but it it also can be digestible 479 00:17:06,680 --> 00:17:07,180 for, 480 00:17:07,880 --> 00:17:10,140 a regular patient, or it could be translated 481 00:17:10,279 --> 00:17:12,484 to, any other language. And I'll give you 482 00:17:12,484 --> 00:17:14,484 an example. You know, when's the last time 483 00:17:14,484 --> 00:17:15,464 you might have had 484 00:17:15,924 --> 00:17:18,085 a complex study done? Let's say a CT 485 00:17:18,085 --> 00:17:18,585 scan, 486 00:17:18,964 --> 00:17:19,704 an X-ray, 487 00:17:20,164 --> 00:17:20,984 an MRI, 488 00:17:21,285 --> 00:17:22,804 and you look at it, you're like, well, 489 00:17:22,804 --> 00:17:24,759 I don't know really what this means. Well, 490 00:17:24,759 --> 00:17:26,359 there's tech and and the reason why is 491 00:17:26,359 --> 00:17:28,039 a lot of that language is written in 492 00:17:28,039 --> 00:17:29,179 kind of medical talk. 493 00:17:29,559 --> 00:17:31,720 And there's technologies now where it can take 494 00:17:31,720 --> 00:17:32,460 that information 495 00:17:33,079 --> 00:17:34,759 and then now write it in such a 496 00:17:34,759 --> 00:17:37,419 way where you can read it and understand 497 00:17:37,480 --> 00:17:37,980 it. 498 00:17:38,345 --> 00:17:39,945 But what's also powerful, it can do that 499 00:17:39,945 --> 00:17:43,065 and then translate it to Japanese, Spanish, Italian, 500 00:17:43,065 --> 00:17:46,025 French, whatever language that you want so that 501 00:17:46,025 --> 00:17:47,545 you can actually digest it and share it 502 00:17:47,545 --> 00:17:48,204 with others. 503 00:17:49,224 --> 00:17:51,625 Wow. That that sounds incredible and and really 504 00:17:51,625 --> 00:17:54,509 helpful and beneficial for patients across the board. 505 00:17:55,049 --> 00:17:56,890 You know, those, like you mentioned, who might 506 00:17:56,890 --> 00:17:59,210 have access issues, but then also just, you 507 00:17:59,210 --> 00:18:00,970 know, for anybody to be able to better 508 00:18:00,970 --> 00:18:03,529 understand their care and exactly what's happening, in 509 00:18:03,529 --> 00:18:05,244 their bodies, I think that's critical. 510 00:18:05,625 --> 00:18:07,705 I know we're about ready to wrap up 511 00:18:07,705 --> 00:18:09,865 the conversation, but is there anything else you 512 00:18:09,865 --> 00:18:11,865 wanted to mention or share with our audience 513 00:18:11,865 --> 00:18:13,705 that you're excited about, some of the ways 514 00:18:13,705 --> 00:18:14,205 that, 515 00:18:14,904 --> 00:18:17,725 this technology in heart care is evolving, especially 516 00:18:18,349 --> 00:18:21,630 as the patient physician relationship continues to evolve 517 00:18:21,630 --> 00:18:22,289 as well? 518 00:18:22,990 --> 00:18:25,150 You know, I'll I'll since I'm a surgeon, 519 00:18:25,150 --> 00:18:26,769 I'll I'll end with a a surgical 520 00:18:27,070 --> 00:18:29,390 note. You know, one of my my mentors 521 00:18:29,390 --> 00:18:31,470 was Norm Shumway. He performed the one of 522 00:18:31,470 --> 00:18:33,525 the first heart transplants in The United States. 523 00:18:33,765 --> 00:18:36,005 And one of his famous quotes was, the 524 00:18:36,005 --> 00:18:37,924 hardest thing about heart surgery is a chance 525 00:18:37,924 --> 00:18:40,325 to do heart surgery. And what that mean 526 00:18:40,484 --> 00:18:41,845 it it can mean a lot of different 527 00:18:41,845 --> 00:18:43,365 things. But one of the things that it 528 00:18:43,365 --> 00:18:44,265 meant was 529 00:18:44,805 --> 00:18:46,164 when you get there, the actual part of 530 00:18:46,164 --> 00:18:48,325 heart surgery is hard, but but the harder 531 00:18:48,325 --> 00:18:49,065 part is 532 00:18:49,579 --> 00:18:51,180 getting a chance to go to medical school 533 00:18:51,180 --> 00:18:53,279 and and and and go through the training, 534 00:18:53,420 --> 00:18:55,900 but then learning how to do it and 535 00:18:55,900 --> 00:18:57,039 actually practicing 536 00:18:57,819 --> 00:18:58,880 and getting there. 537 00:18:59,180 --> 00:19:00,079 But what if 538 00:19:00,380 --> 00:19:02,924 we can have technologies that allow us to 539 00:19:02,924 --> 00:19:04,765 learn more efficiently, to be able to practice 540 00:19:04,765 --> 00:19:06,144 more efficiently and have simulators 541 00:19:06,445 --> 00:19:08,525 to do things more efficiently so that the 542 00:19:08,525 --> 00:19:10,285 hardest thing about heart surgery isn't the chance 543 00:19:10,285 --> 00:19:11,485 to do it. It's actually just a heart 544 00:19:11,485 --> 00:19:13,965 surgery itself. You can actually make it a 545 00:19:13,965 --> 00:19:15,664 lot more efficient to be able to learn. 546 00:19:16,079 --> 00:19:18,740 So with that, there are technologies now 547 00:19:19,519 --> 00:19:20,960 that can do a lot of the the 548 00:19:20,960 --> 00:19:22,179 things that we do 549 00:19:22,480 --> 00:19:22,980 autonomously. 550 00:19:24,079 --> 00:19:27,140 Research that Stanford and Hopkins have studied videotapes 551 00:19:27,519 --> 00:19:28,179 of robotic 552 00:19:28,924 --> 00:19:29,424 surgeries. 553 00:19:29,964 --> 00:19:32,845 And now after looking at thousands and thousands 554 00:19:32,845 --> 00:19:33,585 of videotapes, 555 00:19:34,204 --> 00:19:36,625 have had these robots be able to autonomously, 556 00:19:37,164 --> 00:19:38,464 without human control, 557 00:19:38,765 --> 00:19:40,444 do some basic things that we do in 558 00:19:40,444 --> 00:19:43,059 the operating room, for example, to tie knots, 559 00:19:43,059 --> 00:19:45,400 to pick up the needle holder, to manipulate 560 00:19:45,460 --> 00:19:45,960 tissue. 561 00:19:46,660 --> 00:19:48,900 And it's amazing that that it's able to 562 00:19:48,900 --> 00:19:51,539 do this autonomously without a human controlling that. 563 00:19:51,539 --> 00:19:53,140 And that's just the tip of the iceberg. 564 00:19:53,140 --> 00:19:54,740 Then if we could do that, then when 565 00:19:54,740 --> 00:19:56,515 when does it end? You know? And and 566 00:19:56,515 --> 00:19:58,194 and this is an opportunity where where you 567 00:19:58,194 --> 00:20:00,375 could potentially use robots to to do 568 00:20:00,755 --> 00:20:01,255 operations 569 00:20:01,795 --> 00:20:05,474 that, previously were done by humans. Again, still 570 00:20:05,474 --> 00:20:06,375 at its infancy, 571 00:20:07,474 --> 00:20:10,840 but a glimpse into the potential of where 572 00:20:10,840 --> 00:20:13,080 health care and medicine and surgery might be 573 00:20:13,080 --> 00:20:13,580 going. 574 00:20:14,119 --> 00:20:14,940 That's incredible. 575 00:20:15,320 --> 00:20:16,840 Doctor Wynne, thank you so much for joining 576 00:20:16,840 --> 00:20:18,279 us on the podcast today. This has been 577 00:20:18,279 --> 00:20:20,279 a fascinating conversation, and I look forward to 578 00:20:20,279 --> 00:20:22,680 connecting with you again soon. Thank you. My 579 00:20:22,680 --> 00:20:24,015 pleasure. Thanks for having me. 580 00:20:26,095 --> 00:20:26,835 At athenahealth, 581 00:20:27,134 --> 00:20:29,875 we know your ambulatory practice wants healthier, 582 00:20:30,255 --> 00:20:33,134 a healthier business, healthier care teams, and healthier 583 00:20:33,134 --> 00:20:33,634 patients. 584 00:20:34,015 --> 00:20:36,335 But the complexities of modern health care tech 585 00:20:36,335 --> 00:20:38,174 make it hard for you and your care 586 00:20:38,174 --> 00:20:39,960 teams to focus on what matters most. 587 00:20:40,519 --> 00:20:42,220 That's where athenahealth can help. 588 00:20:42,599 --> 00:20:45,319 Our AI native all in one solutions reduce 589 00:20:45,319 --> 00:20:46,539 administrative burdens, 590 00:20:46,839 --> 00:20:49,799 streamline billing and payments, and deliver critical insights 591 00:20:49,799 --> 00:20:51,419 when clinicians need it most. 592 00:20:51,720 --> 00:20:54,380 That means fewer clicks, more time for patients, 593 00:20:54,440 --> 00:20:55,904 and stronger bottom lines. 594 00:20:56,625 --> 00:20:59,904 Practicing medicine is complex, but running a practice 595 00:20:59,904 --> 00:21:01,684 can be that much simpler with athenahealth. 596 00:21:02,384 --> 00:21:06,085 See how simpler is healthier at athenahealth.com.