1 00:00:00,719 --> 00:00:04,000 Exciting things are happening at Becker's Healthcare. Stay 2 00:00:04,000 --> 00:00:06,240 ahead of industry trends with the new Becker's 3 00:00:06,240 --> 00:00:08,419 CFO plus Revenue Cycle podcast, 4 00:00:08,800 --> 00:00:11,119 your go to source for insights from top 5 00:00:11,119 --> 00:00:14,154 healthcare finance leaders. Tune in wherever you get 6 00:00:14,154 --> 00:00:15,054 your podcasts. 7 00:00:15,914 --> 00:00:18,475 And don't miss the tenth annual health IT 8 00:00:18,475 --> 00:00:22,154 plus digital health plus RCM conference, happening September 9 00:00:22,154 --> 00:00:24,474 30 to 10/03/2025 10 00:00:24,474 --> 00:00:25,214 in Chicago. 11 00:00:25,755 --> 00:00:26,879 Join thousands of 12 00:00:27,279 --> 00:00:30,079 executives, engage with industry leaders, and explore the 13 00:00:30,079 --> 00:00:31,619 future of health care innovation. 14 00:00:32,320 --> 00:00:36,719 Learn more about our upcoming events at beckershospitalreview.com. 15 00:00:36,719 --> 00:00:37,539 See you there. 16 00:00:38,079 --> 00:00:40,340 This is Laura Dirda with the Becker's Healthcare 17 00:00:40,505 --> 00:00:42,184 podcast. I'm thrilled today to be joined by 18 00:00:42,184 --> 00:00:45,304 Kieran Mysore, chief data analytics officer at Sutter 19 00:00:45,304 --> 00:00:46,664 Health. Kieran, it's a pleasure to have you 20 00:00:46,664 --> 00:00:48,744 on the podcast today. Thanks for having me, 21 00:00:48,744 --> 00:00:49,244 Laura. 22 00:00:49,704 --> 00:00:52,104 Absolutely. Now I'm really excited for this discussion 23 00:00:52,104 --> 00:00:53,864 because I know, Sutter is doing a lot 24 00:00:53,864 --> 00:00:55,530 of innovative things. It's a really, 25 00:00:56,170 --> 00:00:58,009 unique time in health care right now where 26 00:00:58,009 --> 00:01:00,409 innovation is moving so quickly and technology is 27 00:01:00,409 --> 00:01:02,729 transforming the way health care is delivered. So 28 00:01:02,729 --> 00:01:04,489 I'm looking forward to talking more about what 29 00:01:04,489 --> 00:01:06,329 you're doing at Sutter and then how you're 30 00:01:06,329 --> 00:01:08,090 thinking about the future. But before we dive 31 00:01:08,090 --> 00:01:10,090 in, I'm wondering, can you introduce yourself and 32 00:01:10,090 --> 00:01:11,234 tell tell us just a little bit about 33 00:01:11,234 --> 00:01:11,974 your background? 34 00:01:12,915 --> 00:01:15,474 Sure, Laura. I'm Kieran Meisser. I serve as 35 00:01:15,474 --> 00:01:18,355 the chief data and analytics officer at Sutter 36 00:01:18,355 --> 00:01:18,855 Health. 37 00:01:19,795 --> 00:01:22,935 I lead our enterprise efforts in data strategy, 38 00:01:23,579 --> 00:01:24,079 artificial 39 00:01:24,859 --> 00:01:25,519 intelligence, analytics, 40 00:01:25,979 --> 00:01:29,099 and our collective team's focus is really to 41 00:01:29,099 --> 00:01:29,599 deliver 42 00:01:30,140 --> 00:01:31,519 better care for our patients, 43 00:01:32,219 --> 00:01:36,479 reducing clinician burden, and, improving our overall organizational 44 00:01:36,619 --> 00:01:37,119 performance. 45 00:01:38,064 --> 00:01:40,385 Now I've spent, you know, more than twenty 46 00:01:40,385 --> 00:01:42,965 five years working in data and AI 47 00:01:43,344 --> 00:01:44,564 across multiple industries, 48 00:01:45,745 --> 00:01:47,685 and that also includes health care. 49 00:01:48,064 --> 00:01:50,944 And that sort of cross sector experience gives 50 00:01:50,944 --> 00:01:53,540 me a broad lens. But what I'm really 51 00:01:53,540 --> 00:01:55,939 excited about is how we can bring some 52 00:01:55,939 --> 00:01:58,019 of these ideas to the provider, the health 53 00:01:58,019 --> 00:01:58,840 care space, 54 00:01:59,140 --> 00:02:01,459 where we can really turn insights into real 55 00:02:01,459 --> 00:02:01,959 impact. 56 00:02:02,340 --> 00:02:05,060 And so at Sutter, we're using data and 57 00:02:05,060 --> 00:02:07,700 AI to tackle some of health care's toughest 58 00:02:07,700 --> 00:02:08,199 challenges, 59 00:02:08,814 --> 00:02:10,594 whether it's improving patient access, 60 00:02:11,055 --> 00:02:12,114 clinician productivity, 61 00:02:12,894 --> 00:02:13,715 and so on. 62 00:02:14,334 --> 00:02:16,174 I also wanted to give a quick background 63 00:02:16,174 --> 00:02:18,334 on Sutter Health. We are one of the 64 00:02:18,334 --> 00:02:19,875 leading not for profit 65 00:02:20,414 --> 00:02:23,189 integrated health systems. We serve more than three 66 00:02:23,189 --> 00:02:24,969 and a half million patients in California, 67 00:02:25,590 --> 00:02:27,590 and our vision is to be the most 68 00:02:27,590 --> 00:02:28,090 comprehensive, 69 00:02:28,789 --> 00:02:30,009 integrated, and coordinated 70 00:02:30,310 --> 00:02:31,770 health system in California. 71 00:02:33,030 --> 00:02:35,030 That's amazing to hear. And, you know, what 72 00:02:35,030 --> 00:02:36,645 great work that you do in serving such 73 00:02:36,645 --> 00:02:38,185 an important patient population. 74 00:02:38,724 --> 00:02:40,425 Now what are some of the big opportunities 75 00:02:40,485 --> 00:02:41,844 as well as headwinds that you have your 76 00:02:41,844 --> 00:02:42,585 eye on? 77 00:02:43,444 --> 00:02:43,925 Sure. 78 00:02:44,245 --> 00:02:47,525 So we're working on some exciting initiatives using 79 00:02:47,525 --> 00:02:49,580 data and AI. I'm gonna focus a couple 80 00:02:49,580 --> 00:02:51,520 of maybe give you a couple of examples. 81 00:02:53,340 --> 00:02:55,180 One example is, you know, we are working 82 00:02:55,180 --> 00:02:56,000 to improve 83 00:02:56,780 --> 00:02:58,879 speed and accuracy of diagnosis 84 00:02:59,419 --> 00:03:01,740 and, you know, flagging patients at risk for 85 00:03:01,740 --> 00:03:02,879 serious health events. 86 00:03:03,515 --> 00:03:06,395 So we use AI, for example, to act 87 00:03:06,395 --> 00:03:08,814 as a second set of eyes for physicians. 88 00:03:08,875 --> 00:03:09,375 Right? 89 00:03:09,754 --> 00:03:12,395 For example, when you're reviewing a CT's lung 90 00:03:12,395 --> 00:03:12,895 scan, 91 00:03:14,075 --> 00:03:16,415 where, you know, we're trying to understand 92 00:03:16,715 --> 00:03:19,889 early stage lung cancer diagnosis, right, and and 93 00:03:19,889 --> 00:03:20,870 provide the diagnosis. 94 00:03:21,250 --> 00:03:23,810 With AI's help, you know, sixty percent of 95 00:03:23,810 --> 00:03:25,669 these Sutter patients actually received 96 00:03:25,969 --> 00:03:28,550 an early stage diagnosis. Now that is significantly 97 00:03:28,689 --> 00:03:31,489 better than the national average, which is just 98 00:03:31,489 --> 00:03:33,650 at twenty seven percent. So we're really proud 99 00:03:33,650 --> 00:03:34,229 of that. 100 00:03:35,485 --> 00:03:36,784 When you think about stroke, 101 00:03:37,245 --> 00:03:37,745 care, 102 00:03:38,205 --> 00:03:40,224 AI based platforms provide, 103 00:03:40,924 --> 00:03:42,144 an additional review. 104 00:03:42,444 --> 00:03:44,144 They help our specialists identify 105 00:03:44,764 --> 00:03:47,189 large blood vessel clots within minutes, 106 00:03:47,750 --> 00:03:50,710 And this allows for faster treatment decisions as 107 00:03:50,710 --> 00:03:51,210 well. 108 00:03:51,990 --> 00:03:55,030 Now AI risk models also proactively flag patients 109 00:03:55,030 --> 00:03:55,689 in the hospital 110 00:03:56,150 --> 00:03:58,330 who are at high risk for in hospital 111 00:03:58,469 --> 00:04:00,550 cardiac arrest, which is one of the things 112 00:04:00,550 --> 00:04:02,835 that could happen. It's a leading cause of, 113 00:04:03,074 --> 00:04:05,875 in hospital death and c diff infections as 114 00:04:05,875 --> 00:04:09,155 well. And by predicting earlier, we're able to 115 00:04:09,155 --> 00:04:11,155 take care of our patients much earlier. So 116 00:04:11,155 --> 00:04:12,215 those are some examples. 117 00:04:12,754 --> 00:04:14,275 Now one of the other thing we're also 118 00:04:14,275 --> 00:04:15,335 working on is 119 00:04:16,139 --> 00:04:16,800 to improve 120 00:04:17,100 --> 00:04:18,240 access to care, 121 00:04:18,699 --> 00:04:21,600 by making it more readily available. So 122 00:04:22,139 --> 00:04:24,779 one example there is, you know, more than 123 00:04:24,779 --> 00:04:26,240 half of those with diabetes, 124 00:04:26,939 --> 00:04:29,660 they don't get a recommended eye exam each 125 00:04:29,660 --> 00:04:31,845 year, and that places them at a higher 126 00:04:31,845 --> 00:04:32,904 risk for blindness. 127 00:04:33,524 --> 00:04:35,384 Now AI can actually detect 128 00:04:35,845 --> 00:04:37,925 even the earliest warning signs in less than 129 00:04:37,925 --> 00:04:39,545 a minute just through a picture. 130 00:04:40,245 --> 00:04:43,944 And by placing these retinal cameras with FDA 131 00:04:44,004 --> 00:04:44,904 cleared AI 132 00:04:45,339 --> 00:04:46,800 in primary care offices 133 00:04:47,100 --> 00:04:48,939 in a screening for more sort of health 134 00:04:48,939 --> 00:04:50,800 patients is really possible. 135 00:04:52,620 --> 00:04:54,779 I'm gonna maybe end with one other example, 136 00:04:54,779 --> 00:04:56,939 which is all about our physicians. You know, 137 00:04:56,939 --> 00:04:59,120 our physician satisfaction is really important. 138 00:04:59,915 --> 00:05:01,295 Productivity is really important. 139 00:05:01,915 --> 00:05:05,514 So we use AI to assist them generating 140 00:05:05,514 --> 00:05:07,375 responses to patient emails. 141 00:05:08,235 --> 00:05:10,955 So or to listen during a patient visit 142 00:05:10,955 --> 00:05:11,855 to take notes 143 00:05:12,235 --> 00:05:14,875 and generate a summary that directly flows into 144 00:05:14,875 --> 00:05:17,569 the electronic health record for the patient. Of 145 00:05:17,569 --> 00:05:19,810 course, the physicians do review and approve all 146 00:05:19,810 --> 00:05:21,909 of this content before it reaches the patients. 147 00:05:22,370 --> 00:05:25,169 And we've seen, like, almost a million notes 148 00:05:25,169 --> 00:05:27,464 written in the system since our program launched. 149 00:05:28,024 --> 00:05:30,105 And this is actually helping our physicians be 150 00:05:30,185 --> 00:05:32,845 you know, overall reduce their cognitive burden, 151 00:05:33,384 --> 00:05:35,464 and their mental fatigue of even up to 152 00:05:35,464 --> 00:05:36,285 30%. 153 00:05:36,985 --> 00:05:39,004 So this is a win for our physicians 154 00:05:39,305 --> 00:05:40,204 and our patients. 155 00:05:41,060 --> 00:05:42,500 That's amazing to hear, and it makes a 156 00:05:42,500 --> 00:05:44,500 really big difference when you think about the 157 00:05:44,500 --> 00:05:47,379 clinical workforce and how much the last few 158 00:05:47,379 --> 00:05:49,300 years has really put a strain on it. 159 00:05:49,300 --> 00:05:52,339 So to incorporate technology that can do a 160 00:05:52,339 --> 00:05:55,694 variety of those administrative tasks and really add 161 00:05:55,694 --> 00:05:57,694 value to their Workday, I I think is 162 00:05:57,694 --> 00:06:00,254 critical. And I appreciate you talking through a 163 00:06:00,254 --> 00:06:01,615 lot of the work that you've done there, 164 00:06:01,774 --> 00:06:04,435 and how you're gauging those results is, fascinating. 165 00:06:05,375 --> 00:06:07,294 Now Mhmm. I'm curious. You know, when you 166 00:06:07,294 --> 00:06:08,814 look into the future, what are some of 167 00:06:08,814 --> 00:06:10,574 the ways that you are thinking about growth 168 00:06:10,574 --> 00:06:11,189 and developing 169 00:06:11,670 --> 00:06:14,089 and continuing to add value to Sutter overall? 170 00:06:15,830 --> 00:06:17,830 Sure. The best way to think about growth 171 00:06:17,830 --> 00:06:19,990 and value is through the lens of our 172 00:06:19,990 --> 00:06:20,490 mission, 173 00:06:20,870 --> 00:06:23,689 which is patients first and people always. 174 00:06:24,495 --> 00:06:26,735 Now there are several areas of focus to 175 00:06:26,735 --> 00:06:27,634 help with this. 176 00:06:28,095 --> 00:06:29,774 You know the first thing is we think 177 00:06:29,774 --> 00:06:30,274 about 178 00:06:31,134 --> 00:06:33,395 how we act improve access to care. 179 00:06:34,175 --> 00:06:36,754 So the problem we face is that 180 00:06:37,220 --> 00:06:37,960 too many 181 00:06:38,340 --> 00:06:41,060 people experience too many hurdles in getting the 182 00:06:41,060 --> 00:06:41,960 care they need. 183 00:06:42,420 --> 00:06:44,740 And Sutter is leading the way in removing 184 00:06:44,740 --> 00:06:46,759 as many barriers to access as possible. 185 00:06:47,060 --> 00:06:49,060 And this is where our digital tools, our 186 00:06:49,060 --> 00:06:51,639 innovations play a crucial role in this work. 187 00:06:51,995 --> 00:06:53,295 I'll give you one example. 188 00:06:54,235 --> 00:06:56,095 Our work actually helps us 189 00:06:56,475 --> 00:06:59,214 serve more than a 100,000 new patients, 190 00:06:59,915 --> 00:07:02,955 across our system last year. That's 100,000 new 191 00:07:02,955 --> 00:07:04,175 patients last year. 192 00:07:04,634 --> 00:07:05,134 And 193 00:07:05,470 --> 00:07:07,949 we're doing that by improving our online scheduling 194 00:07:07,949 --> 00:07:08,449 capabilities. 195 00:07:09,069 --> 00:07:11,470 For example, last year, we saw an increase 196 00:07:11,470 --> 00:07:12,910 of 27% 197 00:07:12,910 --> 00:07:14,689 in online appointment scheduling. 198 00:07:15,069 --> 00:07:16,209 This is really great. 199 00:07:17,485 --> 00:07:20,064 The second thing we think about is workforce 200 00:07:20,605 --> 00:07:21,105 well-being. 201 00:07:21,884 --> 00:07:23,504 Now we are growing our workforce, 202 00:07:23,965 --> 00:07:25,105 especially our physicians. 203 00:07:26,045 --> 00:07:28,525 We hired more than a thousand physicians and 204 00:07:28,525 --> 00:07:29,904 clinicians last year 205 00:07:30,365 --> 00:07:31,665 while keeping turnover 206 00:07:31,965 --> 00:07:32,785 really low. 207 00:07:33,860 --> 00:07:35,939 Now burnout is a key factor in all 208 00:07:35,939 --> 00:07:37,779 of the work that they do. So our 209 00:07:37,779 --> 00:07:39,399 digital tools, like I mentioned, 210 00:07:39,779 --> 00:07:41,479 are really helping our workforce, 211 00:07:42,180 --> 00:07:44,519 and essentially making their life easier. 212 00:07:45,314 --> 00:07:47,634 A good example is the fact that, 213 00:07:48,355 --> 00:07:49,095 last year, 214 00:07:49,555 --> 00:07:52,194 we saved a million hours of our workforce 215 00:07:52,194 --> 00:07:54,915 time through efficiencies in our digital tools, and 216 00:07:54,915 --> 00:07:55,735 this is amazing. 217 00:07:56,194 --> 00:07:58,455 So these are just two examples of how 218 00:07:58,779 --> 00:07:59,919 our work in action 219 00:08:00,220 --> 00:08:01,120 really drives, 220 00:08:01,899 --> 00:08:03,120 our collective organization 221 00:08:03,500 --> 00:08:06,860 and really advance that mission of patients first 222 00:08:06,860 --> 00:08:08,000 and people always. 223 00:08:08,939 --> 00:08:10,860 I love that. Really tying it back into 224 00:08:10,860 --> 00:08:13,154 what health care is all about. Now I 225 00:08:13,154 --> 00:08:15,235 I know there's so many hospitals and and 226 00:08:15,235 --> 00:08:17,794 systems across the country that have that vision 227 00:08:17,794 --> 00:08:19,875 that are trying to serve patients well and 228 00:08:19,875 --> 00:08:22,355 figuring out what technology is going to do 229 00:08:22,355 --> 00:08:23,175 that the best. 230 00:08:23,634 --> 00:08:26,035 And that is, you know, easier said than 231 00:08:26,035 --> 00:08:28,029 done. And so when you think about many 232 00:08:28,029 --> 00:08:30,750 of these institutions having tight margins or looking 233 00:08:30,750 --> 00:08:34,129 ahead and seeing continued belt tightening, what investments 234 00:08:34,190 --> 00:08:36,129 should they still make this year, especially 235 00:08:36,509 --> 00:08:37,649 thinking about technology, 236 00:08:38,269 --> 00:08:40,269 you know, that can make sure they're set 237 00:08:40,269 --> 00:08:41,090 up for success? 238 00:08:41,615 --> 00:08:43,634 It's a great question, Laura. I think, 239 00:08:44,174 --> 00:08:46,254 again, taking a lens of how Sutter is 240 00:08:46,254 --> 00:08:47,554 really thinking about this, 241 00:08:48,414 --> 00:08:50,334 we'll maybe stick with the same theme of 242 00:08:50,334 --> 00:08:52,674 growth and expansion, right? We are actually making 243 00:08:53,054 --> 00:08:54,995 some big investments in our ambulatory 244 00:08:55,375 --> 00:08:55,875 growth. 245 00:08:56,629 --> 00:08:58,490 We have a very ambitious, 246 00:08:59,590 --> 00:09:01,370 program in ambulatory expansions. 247 00:09:01,830 --> 00:09:03,450 This is a billion dollar program. 248 00:09:03,990 --> 00:09:06,970 This includes, you know, 76 new care sites, 249 00:09:07,190 --> 00:09:09,289 more than 160 hospital beds. 250 00:09:10,205 --> 00:09:12,445 I already talked about our physician hiring, which 251 00:09:12,445 --> 00:09:14,445 is also a growth area for us. We 252 00:09:14,445 --> 00:09:17,264 actually hired, like, 500 physicians this year alone. 253 00:09:18,524 --> 00:09:19,345 We're also, 254 00:09:20,125 --> 00:09:23,105 on our way to becoming Northern California's 255 00:09:23,565 --> 00:09:24,065 largest 256 00:09:24,620 --> 00:09:27,419 community based health care training institution. This is 257 00:09:27,419 --> 00:09:27,919 great. 258 00:09:28,779 --> 00:09:30,080 We're growing our medical, 259 00:09:30,539 --> 00:09:33,120 residency programs, our academic partnerships, 260 00:09:33,659 --> 00:09:36,700 and workforce development investments to really help our 261 00:09:36,700 --> 00:09:39,600 future generations of caregivers be even more efficient. 262 00:09:40,774 --> 00:09:42,615 One other thing I'm really excited about to 263 00:09:42,615 --> 00:09:44,954 sort of complement the amb ambulatory expansion 264 00:09:45,574 --> 00:09:47,914 is that we're rolling out a new 265 00:09:48,375 --> 00:09:51,654 fully integrated digital care delivery model, and we 266 00:09:51,654 --> 00:09:52,554 call that SutterSync. 267 00:09:53,610 --> 00:09:56,410 So this program actually allows our patients to 268 00:09:56,410 --> 00:09:58,910 track and manage chronic diseases, 269 00:09:59,289 --> 00:10:00,350 such as hypertension 270 00:10:00,970 --> 00:10:03,769 and diabetes at home. And they can do 271 00:10:03,769 --> 00:10:06,164 this on their schedule in their house Mhmm. 272 00:10:06,245 --> 00:10:08,725 And in concert with a dedicated care team 273 00:10:08,725 --> 00:10:11,304 that can really provide timely support and treatment 274 00:10:11,365 --> 00:10:11,865 adjustments. 275 00:10:12,644 --> 00:10:13,865 So our 276 00:10:14,324 --> 00:10:17,365 investments in ambulatory expansion coupled with our digital 277 00:10:17,365 --> 00:10:20,164 tools like Sutter Sync are really helping care 278 00:10:20,164 --> 00:10:20,904 for more 279 00:10:21,209 --> 00:10:22,669 patients in more places. 280 00:10:23,769 --> 00:10:25,769 That's fascinating to hear. And, you know, really 281 00:10:25,769 --> 00:10:27,629 truly embracing that tech enablement, 282 00:10:28,089 --> 00:10:29,769 it makes a big difference. You know, those 283 00:10:29,769 --> 00:10:32,970 are huge problems trying to expand capacity and 284 00:10:32,970 --> 00:10:35,294 increase the number of patients you're seeing. Well, 285 00:10:35,454 --> 00:10:38,095 also, you know, dealing with, as we have 286 00:10:38,095 --> 00:10:39,855 talked a little bit about here, just some 287 00:10:39,855 --> 00:10:41,855 of the challenges with staffing and all those 288 00:10:41,855 --> 00:10:44,174 kinds of things. So that's that's amazing to 289 00:10:44,174 --> 00:10:44,674 hear. 290 00:10:45,375 --> 00:10:47,454 I'm curious before we wrap up here. Looking 291 00:10:47,454 --> 00:10:49,470 ahead and and looking at, you know, growth 292 00:10:49,549 --> 00:10:51,389 for yourself in particular, what does that look 293 00:10:51,389 --> 00:10:52,829 like over the next two to three years? 294 00:10:52,829 --> 00:10:55,149 I know, right now, things are changing very 295 00:10:55,149 --> 00:10:57,389 quickly, and it likely will continue that way. 296 00:10:57,389 --> 00:10:59,549 So how do you see yourself and your 297 00:10:59,549 --> 00:11:00,289 teams evolving? 298 00:11:01,470 --> 00:11:03,709 I'm excited for the future. I reflect on 299 00:11:03,709 --> 00:11:05,174 this all the time. You know? One of 300 00:11:05,174 --> 00:11:06,634 the things we think about, 301 00:11:07,095 --> 00:11:09,595 and I tell my team to think about 302 00:11:10,054 --> 00:11:12,934 growth is to really define what growth really 303 00:11:12,934 --> 00:11:13,835 means. Right? 304 00:11:14,615 --> 00:11:16,794 It's not just growth for the growth sake, 305 00:11:17,095 --> 00:11:18,235 but it's about creating 306 00:11:18,730 --> 00:11:21,610 greater access to care, meeting the demand where 307 00:11:21,610 --> 00:11:22,990 where we need to. 308 00:11:23,610 --> 00:11:25,769 And, like I said, I've given some examples 309 00:11:25,769 --> 00:11:27,549 of already, you know, how we do this. 310 00:11:28,410 --> 00:11:31,070 I think growth is taking on new forms 311 00:11:31,210 --> 00:11:32,990 beyond just the traditional ways. 312 00:11:33,294 --> 00:11:35,455 This is where I think digital health, AI 313 00:11:35,455 --> 00:11:37,554 innovations play such a big role. 314 00:11:38,575 --> 00:11:40,575 I just think some of the work that 315 00:11:40,575 --> 00:11:41,554 my team is doing 316 00:11:42,014 --> 00:11:42,835 and enabling, 317 00:11:43,375 --> 00:11:46,434 especially around AI, these are not just incremental 318 00:11:47,039 --> 00:11:49,220 opportunities. These are transformational opportunities. 319 00:11:49,919 --> 00:11:52,159 And in some ways, we're changing the way 320 00:11:52,159 --> 00:11:53,700 things are done entirely, 321 00:11:54,080 --> 00:11:57,120 whether it's workflows, whether it's treatment plan, care 322 00:11:57,120 --> 00:11:58,659 care mechanisms, and such. 323 00:11:59,394 --> 00:12:02,514 And our clinical areas, our operational areas have 324 00:12:02,514 --> 00:12:04,294 tremendous opportunities for growth. 325 00:12:04,674 --> 00:12:06,914 And so as we transform all of this 326 00:12:06,914 --> 00:12:09,254 easy work, we're actually going to go deeper, 327 00:12:10,195 --> 00:12:13,714 maybe towards personalized treatments that will actually truly 328 00:12:13,714 --> 00:12:14,934 change our patients, 329 00:12:15,769 --> 00:12:16,269 well-being. 330 00:12:17,050 --> 00:12:17,450 So, 331 00:12:18,009 --> 00:12:21,050 yeah, personally I'm excited about the opportunities for 332 00:12:21,050 --> 00:12:22,029 growth in the future. 333 00:12:22,970 --> 00:12:25,210 I truly think not just Sutter but just 334 00:12:25,210 --> 00:12:28,190 healthcare as a whole has a unique opportunity 335 00:12:28,250 --> 00:12:29,309 to serve our patients 336 00:12:29,664 --> 00:12:32,245 with better technology, with AI, with data, 337 00:12:32,625 --> 00:12:34,004 to elevate the scale, 338 00:12:34,384 --> 00:12:36,865 to improve the quality of care. And I 339 00:12:36,865 --> 00:12:38,705 think our growth journey is a great example 340 00:12:38,705 --> 00:12:39,445 of this. 341 00:12:40,304 --> 00:12:42,304 That's fascinating to hear. Well, Karen, thank you 342 00:12:42,304 --> 00:12:43,830 so much for joining us on the podcast 343 00:12:43,830 --> 00:12:45,690 today. This has been a really fun conversation, 344 00:12:45,990 --> 00:12:47,350 and I look forward to connecting with you 345 00:12:47,350 --> 00:12:48,170 again soon. 346 00:12:48,710 --> 00:12:50,790 Thanks, Laura. Thanks for having me. It was 347 00:12:50,790 --> 00:12:52,470 great to talk to you, and I hope 348 00:12:52,470 --> 00:12:55,110 that our conversation sparks some new ideas for 349 00:12:55,110 --> 00:12:57,610 the listeners to accelerate their own journeys. 350 00:12:57,990 --> 00:12:58,649 Thank you.