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 00:00:09,679 --> 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 00:00:30,240 --> 00:00:32,659 This is Gracelyn Keller with the Becker's Healthcare 11 00:00:32,719 --> 00:00:35,200 Podcast, and we are live at the 9th 12 00:00:35,200 --> 00:00:38,740 annual health IT digital health and RCM conference. 13 00:00:39,200 --> 00:00:41,200 I'm thrilled this morning to be joined by 14 00:00:41,200 --> 00:00:43,940 Krystal Breuwie who is the chief digital transformation 15 00:00:44,159 --> 00:00:45,994 officer at musc. 16 00:00:46,695 --> 00:00:48,534 So, Krystal, thanks so much for joining me 17 00:00:48,534 --> 00:00:50,614 this morning. Would love to get us started 18 00:00:50,614 --> 00:00:52,295 by having you share a little bit about 19 00:00:52,295 --> 00:00:54,375 yourself and your background and your role at 20 00:00:54,375 --> 00:00:56,614 your organization. Sure, Grace. Thanks for having me. 21 00:00:56,614 --> 00:00:58,454 I'm excited to be here at this great 22 00:00:58,454 --> 00:00:58,954 conference. 23 00:00:59,630 --> 00:01:01,729 I am the chief digital transformation officer, 24 00:01:02,189 --> 00:01:02,929 in Charleston, 25 00:01:03,549 --> 00:01:05,170 for our statewide health system. 26 00:01:05,950 --> 00:01:06,450 We, 27 00:01:07,790 --> 00:01:09,810 started that role about 2 years ago. 28 00:01:10,269 --> 00:01:12,189 Started with a department of 1 and now 29 00:01:12,189 --> 00:01:14,915 expanded to department of 8. My background is 30 00:01:14,915 --> 00:01:17,395 in IT programming and then moving up through 31 00:01:17,395 --> 00:01:19,555 the ranks to do business analysis and then 32 00:01:19,555 --> 00:01:21,255 eventually managerial type things. 33 00:01:21,875 --> 00:01:23,875 Wonderful. Well, thanks for taking the time to 34 00:01:23,875 --> 00:01:25,975 be here. I'd love to start our conversation 35 00:01:26,115 --> 00:01:28,829 today with AI. So adoption of AI is 36 00:01:28,909 --> 00:01:31,230 exploding in health care. And in your view, 37 00:01:31,230 --> 00:01:33,730 what is the most significant or promising application 38 00:01:33,790 --> 00:01:35,709 of this technology right now, and how is 39 00:01:35,709 --> 00:01:38,689 that informing your organization's innovation strategy? 40 00:01:39,549 --> 00:01:41,230 I think there's a bunch of places where 41 00:01:41,230 --> 00:01:44,530 AI plays everywhere from robotic process automation to 42 00:01:44,594 --> 00:01:46,454 some of the new natural language processing, 43 00:01:47,314 --> 00:01:49,334 that's getting better and better all the time. 44 00:01:49,395 --> 00:01:52,295 But I think helping us with clinical documentation 45 00:01:52,355 --> 00:01:53,555 is probably my favorite, 46 00:01:53,875 --> 00:01:56,674 use case that we've had. We deployed ambient 47 00:01:56,674 --> 00:01:59,090 listening for our docs. We started with a 48 00:01:59,090 --> 00:02:01,010 pilot of about a 125, and we'll roll 49 00:02:01,010 --> 00:02:03,170 it across the entire organization in the next 50 00:02:03,170 --> 00:02:03,670 year. 51 00:02:04,129 --> 00:02:05,489 But I think that's really great because it 52 00:02:05,489 --> 00:02:07,010 just takes so much time away from our 53 00:02:07,010 --> 00:02:09,250 doctors that they don't have to spend in 54 00:02:09,250 --> 00:02:11,650 what we call pajama time after hours writing 55 00:02:11,650 --> 00:02:13,569 notes and enclosing charts and things like that. 56 00:02:13,569 --> 00:02:13,650 So, 57 00:02:14,425 --> 00:02:15,865 anything we can do to take work out 58 00:02:15,865 --> 00:02:17,224 of the system is a good place for 59 00:02:17,224 --> 00:02:18,824 us to look at AI and see what 60 00:02:18,824 --> 00:02:19,564 we can do. 61 00:02:20,584 --> 00:02:22,284 Absolutely. And transitioning 62 00:02:22,745 --> 00:02:23,564 to data, 63 00:02:23,865 --> 00:02:26,344 on a daily basis, health care leaders are 64 00:02:26,344 --> 00:02:28,925 managing greater volumes of data and more devices 65 00:02:28,985 --> 00:02:31,110 across a growing number of care settings. 66 00:02:31,490 --> 00:02:33,490 And this is a complex environment. So what 67 00:02:33,490 --> 00:02:35,969 clinical data integration tools or practices are you 68 00:02:35,969 --> 00:02:39,110 seeing drive improvements in patient outcomes and operations? 69 00:02:39,250 --> 00:02:40,950 And can you share an example of that? 70 00:02:41,569 --> 00:02:43,555 I think that, you know, we get inundated 71 00:02:43,555 --> 00:02:45,314 with data. You're wearing a smartwatch. I'm wearing 72 00:02:45,314 --> 00:02:46,674 a smartwatch, and we all wanna share that 73 00:02:46,674 --> 00:02:48,594 data with our doctors. The problem is is 74 00:02:48,594 --> 00:02:50,134 that if you send them 365 75 00:02:50,435 --> 00:02:51,474 points of data when you come in for 76 00:02:51,474 --> 00:02:53,555 your annual, it's very, very hard for them 77 00:02:53,555 --> 00:02:55,074 to have the time or the energy to 78 00:02:55,074 --> 00:02:56,594 look at it. So I think we're gonna 79 00:02:56,594 --> 00:02:57,974 continue to see these manufacturers 80 00:02:58,760 --> 00:03:01,099 create summaries of it that can quickly be 81 00:03:01,400 --> 00:03:04,120 reviewed by your doctor and give trends and 82 00:03:04,120 --> 00:03:05,960 things that they should be paying attention to. 83 00:03:05,960 --> 00:03:07,819 And so I'm looking forward to more integrations 84 00:03:07,879 --> 00:03:09,099 in those types of models, 85 00:03:09,639 --> 00:03:11,260 but also being able to 86 00:03:11,585 --> 00:03:14,465 use AI to scrape charts and then present 87 00:03:14,465 --> 00:03:15,444 a very small, 88 00:03:16,145 --> 00:03:18,384 next best three steps for Crystal when I 89 00:03:18,384 --> 00:03:20,544 show up, so that they don't have to 90 00:03:20,544 --> 00:03:21,985 read all the data that's in the chart. 91 00:03:21,985 --> 00:03:23,905 They'll just take and it'll bubble up for 92 00:03:23,905 --> 00:03:25,925 the doctors, I think, is also very promising 93 00:03:26,479 --> 00:03:27,539 in handling data. 94 00:03:27,919 --> 00:03:28,419 Absolutely. 95 00:03:29,120 --> 00:03:32,180 And with AI and data, now our IT 96 00:03:32,479 --> 00:03:35,280 has become extremely important. So how can health 97 00:03:35,280 --> 00:03:35,939 care organizations 98 00:03:36,239 --> 00:03:38,799 better support IT and clinical teams as they 99 00:03:38,799 --> 00:03:40,879 carry out innovation efforts? And what are the 100 00:03:40,879 --> 00:03:43,094 common pitfalls that we see here? I think 101 00:03:43,094 --> 00:03:45,594 the common pitfall is to put a technology 102 00:03:45,655 --> 00:03:46,555 and not follow-up. 103 00:03:47,014 --> 00:03:48,775 If you aren't making sure that people are 104 00:03:48,775 --> 00:03:49,995 comfortable with the technology, 105 00:03:50,294 --> 00:03:52,534 that they understand the latest features, they know 106 00:03:52,534 --> 00:03:54,294 if something went wrong that has been fixed 107 00:03:54,294 --> 00:03:55,169 and it's changed, 108 00:03:55,650 --> 00:03:57,729 they lose faith in the software, and they 109 00:03:57,729 --> 00:03:59,009 don't use it as well. I think the 110 00:03:59,009 --> 00:04:00,530 biggest thing we can do is buy software 111 00:04:00,530 --> 00:04:02,610 and then let it just sit and not 112 00:04:02,610 --> 00:04:04,610 be used for the what it was intended 113 00:04:04,610 --> 00:04:06,610 to. And so there's there's a lot of 114 00:04:06,689 --> 00:04:08,550 between education and change management, 115 00:04:08,915 --> 00:04:10,995 and then consistently following up is is a 116 00:04:10,995 --> 00:04:12,694 really good way to keep those clinicians 117 00:04:13,155 --> 00:04:14,115 in the loop. And, 118 00:04:14,915 --> 00:04:16,675 from the beginning, when you start a project 119 00:04:16,675 --> 00:04:18,455 all the way through to after you've implemented, 120 00:04:18,514 --> 00:04:19,735 following up back again. 121 00:04:20,930 --> 00:04:22,850 And as we wrap our conversation up here, 122 00:04:22,850 --> 00:04:24,370 I would love to know your top piece 123 00:04:24,370 --> 00:04:26,370 of advice for health care leaders as they 124 00:04:26,370 --> 00:04:29,250 prepare for further advancements in technology and greater 125 00:04:29,250 --> 00:04:30,310 demands for care. 126 00:04:31,490 --> 00:04:32,629 I say that, 127 00:04:33,495 --> 00:04:35,514 it starts by include getting a 128 00:04:35,894 --> 00:04:37,514 a group of people together, 129 00:04:38,134 --> 00:04:38,954 cross functionally 130 00:04:39,334 --> 00:04:41,254 to support your efforts, making sure that you 131 00:04:41,254 --> 00:04:43,175 have the right people on the, 132 00:04:43,814 --> 00:04:46,475 project team, whatever that is, including clinicians. 133 00:04:47,220 --> 00:04:48,899 Don't add more work and more burden to 134 00:04:48,899 --> 00:04:49,399 clinicians 135 00:04:49,860 --> 00:04:51,240 without taking something away. 136 00:04:51,699 --> 00:04:53,300 If you're getting rid of the stupid stuff, 137 00:04:53,300 --> 00:04:55,220 that's gonna make them more effective and practice 138 00:04:55,220 --> 00:04:56,660 at the top of their license. So I 139 00:04:56,660 --> 00:04:58,120 think that's a big part of it. 140 00:04:58,500 --> 00:05:00,579 Wonderful. Well, Crystal, thanks so much for taking 141 00:05:00,579 --> 00:05:02,099 the time to join me today on the 142 00:05:02,099 --> 00:05:04,394 Becker's health Care podcast. Again, we are live 143 00:05:04,394 --> 00:05:06,475 at the 9th annual health IT, digital health, 144 00:05:06,475 --> 00:05:08,894 and RCM conference. Thank you. Thanks.