1 00:00:00,080 --> 00:00:01,520 Hello, everyone. This is Scott King with the 2 00:00:01,520 --> 00:00:03,919 Becker's Healthcare podcast. Thrilled today to be joined 3 00:00:03,919 --> 00:00:06,799 by Carrie Webster, vice president and chief analytics 4 00:00:06,799 --> 00:00:08,500 officer over at Children's Hospital 5 00:00:08,800 --> 00:00:10,580 Colorado. Carrie, how are you doing today? 6 00:00:11,039 --> 00:00:13,344 Doing well, Scott. How are you? I'm great. 7 00:00:13,344 --> 00:00:15,504 You know, weather's not too bad in Chicago. 8 00:00:15,504 --> 00:00:17,585 We missed the northern lights as we're talking 9 00:00:17,585 --> 00:00:19,984 about before, but, you know, maybe next time 10 00:00:19,984 --> 00:00:21,585 it comes around, we'll we'll try to make 11 00:00:21,585 --> 00:00:22,085 it. 12 00:00:23,105 --> 00:00:23,684 A lot 13 00:00:24,064 --> 00:00:26,244 of great topics here to to get to 14 00:00:26,440 --> 00:00:28,519 in health care. A lot going on, as 15 00:00:28,519 --> 00:00:30,280 always. But before we kinda dive into the 16 00:00:30,280 --> 00:00:32,119 questions, just wondering if you could please tell 17 00:00:32,119 --> 00:00:33,899 us a little bit about your your background. 18 00:00:34,920 --> 00:00:35,420 Sure. 19 00:00:36,120 --> 00:00:37,740 As you know, I'm a nurse by training, 20 00:00:37,960 --> 00:00:40,380 and my professional journey bridges 21 00:00:40,975 --> 00:00:44,254 anything from health care innovation, technology leadership. But, 22 00:00:44,254 --> 00:00:46,434 truly, I have a passion for empowering 23 00:00:46,894 --> 00:00:47,394 organizations 24 00:00:47,854 --> 00:00:50,494 to thrive in a digital era, helping our 25 00:00:50,494 --> 00:00:52,594 patients. I think that's why we're here. 26 00:00:53,100 --> 00:00:55,260 So I think the intersection between health care 27 00:00:55,260 --> 00:00:55,920 and technology 28 00:00:56,619 --> 00:00:59,520 helped me shape my perspective on the potential 29 00:00:59,820 --> 00:01:00,320 and 30 00:01:00,700 --> 00:01:03,039 responsibility that we have in Petersen hospitals. 31 00:01:03,899 --> 00:01:05,819 Thanks so much for that background info. And 32 00:01:05,819 --> 00:01:07,500 the first thing I I wanted to ask 33 00:01:07,500 --> 00:01:10,765 you, Carrie, is what opportunities and headwinds in 34 00:01:10,765 --> 00:01:12,364 health care do you kinda have your eye 35 00:01:12,364 --> 00:01:13,185 on right now? 36 00:01:13,965 --> 00:01:15,965 Well, I imagine that you're never gonna have 37 00:01:15,965 --> 00:01:17,884 a conversation in the next couple of years 38 00:01:17,884 --> 00:01:19,504 without hearing the word AI. 39 00:01:20,364 --> 00:01:22,230 I'm I'm going to say that I do 40 00:01:22,310 --> 00:01:24,569 think AI represents one of the most exciting 41 00:01:24,710 --> 00:01:26,090 opportunities in our industry, 42 00:01:26,790 --> 00:01:29,530 and that's anywhere from predictive analytics, 43 00:01:30,069 --> 00:01:30,569 personalizing 44 00:01:31,030 --> 00:01:31,530 care, 45 00:01:32,070 --> 00:01:34,765 any, you know, large language models, soup to 46 00:01:34,765 --> 00:01:36,524 nuts. I I like to joke and say 47 00:01:36,524 --> 00:01:39,084 I've been using AI since spell check back 48 00:01:39,084 --> 00:01:39,905 in the day. 49 00:01:40,284 --> 00:01:43,004 But regardless, I do think that AI has 50 00:01:43,004 --> 00:01:44,224 the potential, 51 00:01:45,405 --> 00:01:48,765 to transform how we deliver value, which in 52 00:01:48,765 --> 00:01:51,420 turn means we're caring for our patients better. 53 00:01:52,040 --> 00:01:54,680 I do think these opportunities, we have to 54 00:01:54,680 --> 00:01:56,140 be very careful. We can't, 55 00:01:57,079 --> 00:01:59,319 use technology in search of a problem. We 56 00:01:59,319 --> 00:02:01,319 have to really think about what our problems 57 00:02:01,319 --> 00:02:05,385 are and how technology can can shape and 58 00:02:05,385 --> 00:02:08,504 change those. And I think that means that 59 00:02:08,504 --> 00:02:10,425 the challenges we're facing is we have to 60 00:02:10,425 --> 00:02:11,324 make sure that 61 00:02:11,865 --> 00:02:12,365 organizations 62 00:02:12,665 --> 00:02:13,405 as a whole 63 00:02:13,705 --> 00:02:14,525 and individuals 64 00:02:14,985 --> 00:02:17,165 are educated about how AI works, 65 00:02:17,560 --> 00:02:18,060 understanding 66 00:02:19,000 --> 00:02:20,539 where where it might be limited, 67 00:02:20,919 --> 00:02:23,799 and then help cultivate those critical thinking around 68 00:02:23,799 --> 00:02:24,379 the output. 69 00:02:25,479 --> 00:02:27,900 As an analytics leader, I think very critically 70 00:02:27,959 --> 00:02:29,419 about the quality of data 71 00:02:29,835 --> 00:02:32,634 that's feeding our, AI systems, and I think 72 00:02:32,634 --> 00:02:33,534 that's critical. 73 00:02:33,995 --> 00:02:36,335 And without our rigorous standards and governance, 74 00:02:36,794 --> 00:02:37,615 we might be, 75 00:02:38,155 --> 00:02:40,895 introducing some flood logic into our ecosystem. 76 00:02:41,275 --> 00:02:43,115 So I think these are some of the 77 00:02:43,115 --> 00:02:44,415 things that I think about, 78 00:02:44,790 --> 00:02:47,830 from education and collaboration and make sure that 79 00:02:47,830 --> 00:02:48,490 we're doing 80 00:02:49,189 --> 00:02:49,689 hypervigilance 81 00:02:50,310 --> 00:02:52,810 on, what we're producing with these tools. 82 00:02:53,669 --> 00:02:54,169 Absolutely. 83 00:02:54,550 --> 00:02:56,790 Carrie, you mentioned value. I just curious if 84 00:02:56,790 --> 00:02:57,290 you're 85 00:02:57,844 --> 00:03:00,405 finding ways to add growth and value to 86 00:03:00,405 --> 00:03:01,144 your org, 87 00:03:01,764 --> 00:03:04,724 maybe without AI, or or are you still 88 00:03:04,724 --> 00:03:06,644 using AI AI to do those things to 89 00:03:06,644 --> 00:03:08,104 help with with growth and value? 90 00:03:08,724 --> 00:03:10,564 I think a little bit of both. 91 00:03:11,300 --> 00:03:13,639 As I alluded to before, I think growth 92 00:03:13,699 --> 00:03:14,520 comes from 93 00:03:14,900 --> 00:03:18,120 responsible adoption of technologies. They just can't throw 94 00:03:18,419 --> 00:03:21,540 AI problems and expect it to everything to 95 00:03:21,540 --> 00:03:22,199 be solved. 96 00:03:22,580 --> 00:03:24,840 But I think if you foster a culture 97 00:03:25,504 --> 00:03:28,004 where critical thinking about any technology, 98 00:03:29,025 --> 00:03:31,824 it helps us, across the board. And when 99 00:03:31,824 --> 00:03:33,824 you think about adding value, I think about 100 00:03:33,824 --> 00:03:35,745 outcomes. I think about are we changing the 101 00:03:35,745 --> 00:03:38,560 lives of our patients. So one example where 102 00:03:38,560 --> 00:03:41,460 we're not using AI is we've impacted 103 00:03:41,760 --> 00:03:43,060 our CLABSI rate 104 00:03:43,439 --> 00:03:46,479 with the analytics support. So a partnership between 105 00:03:46,479 --> 00:03:49,360 clinical leaders and our analytics team has found 106 00:03:49,360 --> 00:03:51,520 a way to deliver real time insights at 107 00:03:51,520 --> 00:03:54,384 the fingertips of our clinicians that have helped 108 00:03:54,384 --> 00:03:56,084 drive our CLABSI rates down. 109 00:03:56,864 --> 00:03:59,344 You mentioned culture. What's a good way to 110 00:03:59,344 --> 00:04:00,245 make sure you're 111 00:04:00,544 --> 00:04:02,944 implementing the right culture right now with everything 112 00:04:02,944 --> 00:04:04,704 going on and all the advances in health 113 00:04:04,704 --> 00:04:05,204 care? 114 00:04:05,985 --> 00:04:07,844 Oh, that's a great question. I think 115 00:04:08,490 --> 00:04:09,550 thinking about 116 00:04:10,090 --> 00:04:10,909 the why 117 00:04:11,289 --> 00:04:14,009 helps keep the culture in this area of 118 00:04:14,009 --> 00:04:16,970 rapid change. In fact, I've spoken to my 119 00:04:16,970 --> 00:04:19,290 team about it. I I know people are 120 00:04:19,290 --> 00:04:20,509 fatigued by 121 00:04:20,884 --> 00:04:22,805 the changes that are coming up in every 122 00:04:22,805 --> 00:04:23,305 day, 123 00:04:23,845 --> 00:04:24,345 and 124 00:04:24,805 --> 00:04:25,305 keeping 125 00:04:26,084 --> 00:04:28,985 in touch with why you're here is paramount. 126 00:04:29,444 --> 00:04:30,264 And so 127 00:04:30,725 --> 00:04:33,125 I think I'm very deliberate about my culture. 128 00:04:33,125 --> 00:04:34,264 I make sure that 129 00:04:34,670 --> 00:04:37,310 we have, keep our why front and center. 130 00:04:37,310 --> 00:04:39,330 We understand that we're here for the kids, 131 00:04:39,629 --> 00:04:40,850 and we talk about, 132 00:04:42,189 --> 00:04:45,410 practicing ruthless self care. We talk about diversity. 133 00:04:45,709 --> 00:04:46,850 We talk about 134 00:04:47,214 --> 00:04:49,375 work life balance. And so I think those 135 00:04:49,375 --> 00:04:50,274 things are important. 136 00:04:50,894 --> 00:04:52,175 Yeah. I think those are all great things 137 00:04:52,175 --> 00:04:53,714 to focus on for that culture. 138 00:04:54,254 --> 00:04:55,574 Carrie, I also wanna ask you, what do 139 00:04:55,574 --> 00:04:57,935 you think is one risk or investment right 140 00:04:57,935 --> 00:04:58,435 now, 141 00:04:58,894 --> 00:05:00,354 worth making for your system? 142 00:05:01,139 --> 00:05:03,139 I don't know if this is a risk 143 00:05:03,139 --> 00:05:05,060 or not, but I think and it's not 144 00:05:05,060 --> 00:05:06,980 gonna be a very sexy answer. I think 145 00:05:06,980 --> 00:05:08,439 we need to start investing 146 00:05:09,860 --> 00:05:10,600 in the education, 147 00:05:12,019 --> 00:05:15,300 of the citizen data consumer, especially in this 148 00:05:15,300 --> 00:05:16,360 digital age. 149 00:05:16,795 --> 00:05:17,855 And that means, 150 00:05:18,314 --> 00:05:19,615 helping them understand 151 00:05:20,235 --> 00:05:23,214 what outputs are coming out, questioning everything, 152 00:05:23,754 --> 00:05:26,314 under helping them do prompt engineering as we 153 00:05:26,314 --> 00:05:29,194 talk about agentic AI and increment you know, 154 00:05:29,194 --> 00:05:30,495 investigating the data. 155 00:05:31,029 --> 00:05:33,509 So I think that is it's worthwhile. It 156 00:05:33,509 --> 00:05:34,870 might not cost a lot of money, but 157 00:05:34,870 --> 00:05:36,790 it is time and people are busy. So 158 00:05:36,790 --> 00:05:38,629 I think maybe a little risk because you're 159 00:05:38,629 --> 00:05:40,310 taking people away from their jobs, but I 160 00:05:40,310 --> 00:05:41,529 think it's worth the investment. 161 00:05:42,310 --> 00:05:43,910 No. I I think that's a good answer. 162 00:05:43,910 --> 00:05:45,910 With everything going on and how quickly things 163 00:05:45,910 --> 00:05:48,125 are moving, just to make sure people understand 164 00:05:48,125 --> 00:05:50,144 what they can do and and results. 165 00:05:50,845 --> 00:05:52,605 Carrie, where do you see the best opportunities 166 00:05:52,605 --> 00:05:53,745 for growth in the future? 167 00:05:54,764 --> 00:05:57,345 I think growth in the future relies on 168 00:05:58,045 --> 00:05:58,625 us fostering 169 00:05:59,165 --> 00:06:01,290 a we talked about culture, a culture of 170 00:06:01,449 --> 00:06:04,350 thoughtful engagement with technology. As I said before, 171 00:06:04,810 --> 00:06:07,610 clearly understanding what problems we have and how 172 00:06:07,610 --> 00:06:10,170 we can leverage that technology to our best 173 00:06:10,170 --> 00:06:10,670 advantage. 174 00:06:11,370 --> 00:06:12,009 I think, 175 00:06:12,330 --> 00:06:13,069 our organization 176 00:06:13,449 --> 00:06:16,250 will be able to adapt rapidly and deliver 177 00:06:16,250 --> 00:06:16,990 these services 178 00:06:17,504 --> 00:06:20,225 if we think about these things problem first, 179 00:06:20,225 --> 00:06:22,884 not technology first. And the 180 00:06:23,345 --> 00:06:24,564 the growth of technology 181 00:06:24,865 --> 00:06:27,045 is is always there. It is gonna keep 182 00:06:27,425 --> 00:06:29,185 growing and growing and growing. I think we 183 00:06:29,185 --> 00:06:31,585 really need to be problem centered and then 184 00:06:31,585 --> 00:06:32,085 adapting 185 00:06:32,819 --> 00:06:33,560 that technology 186 00:06:34,180 --> 00:06:36,599 to those problems versus the other way around. 187 00:06:37,379 --> 00:06:38,579 Hey, Carrie. The last thing I wanted to 188 00:06:38,579 --> 00:06:40,099 ask you, I I think, obviously, right now 189 00:06:40,099 --> 00:06:42,599 with with systems and and the industry 190 00:06:42,899 --> 00:06:45,459 in general and health care, leadership is so 191 00:06:45,459 --> 00:06:47,300 important. And there there's so much changing. There's 192 00:06:47,300 --> 00:06:48,865 so much at stake. Can you talk a 193 00:06:48,865 --> 00:06:51,185 little bit about your leadership journey and and 194 00:06:51,185 --> 00:06:52,644 how you evolved as a leader? 195 00:06:53,105 --> 00:06:55,904 Yes. Thank you. I, I'm not gonna tell 196 00:06:55,904 --> 00:06:57,264 you how long I've been in health care, 197 00:06:57,264 --> 00:06:58,725 but a very long time. 198 00:06:59,345 --> 00:06:59,845 And, 199 00:07:00,625 --> 00:07:02,544 I've learned from the best of the best. 200 00:07:02,544 --> 00:07:03,764 And and I think 201 00:07:04,069 --> 00:07:06,149 from anywhere from being a charge nurse in 202 00:07:06,149 --> 00:07:07,449 a night shift ICU 203 00:07:07,990 --> 00:07:11,669 to being a a clinical educator leader to 204 00:07:11,669 --> 00:07:15,689 a technology leader, I think authenticity is key. 205 00:07:15,750 --> 00:07:16,000 And, 206 00:07:16,895 --> 00:07:19,475 just letting people know what is, 207 00:07:20,335 --> 00:07:22,895 what's happening, why it's happening, what their roles 208 00:07:22,895 --> 00:07:26,014 are. I also believe in having fun. You 209 00:07:26,014 --> 00:07:27,694 have to love what you do, and you 210 00:07:27,694 --> 00:07:28,514 have to, 211 00:07:29,089 --> 00:07:31,250 take that love of what you do and 212 00:07:31,250 --> 00:07:33,970 combine that with your passion to make amazing 213 00:07:33,970 --> 00:07:34,470 outcomes. 214 00:07:35,170 --> 00:07:36,770 Well, Carrie, thanks so much for joining us 215 00:07:36,770 --> 00:07:38,870 on the podcast. It was a great conversation. 216 00:07:38,930 --> 00:07:41,410 I appreciate all your your expertise, and your 217 00:07:41,410 --> 00:07:42,610 insight, and I look forward to working with 218 00:07:42,610 --> 00:07:44,873 you again soon. Thanks, Scott. Great to talk 219 00:07:44,873 --> 00:07:45,453 to you.