1 00:00:00,580 --> 00:00:03,140 Hello everyone. This is Erica Spicer Mason, 2 00:00:03,360 --> 00:00:05,260 writer and editor for Becker's Healthcare. 3 00:00:05,710 --> 00:00:09,100 Thank you so much for tuning into the Becker's Healthcare podcast series. 4 00:00:09,840 --> 00:00:12,620 I'm pleased to be joined today by Iil Samit, 5 00:00:12,840 --> 00:00:16,460 the general manager of Cardiology solutions at GE Health Care, 6 00:00:17,240 --> 00:00:21,220 who will discuss the role of cardiology tools in hospital and health system 7 00:00:21,270 --> 00:00:25,380 technology strategies. Ail, welcome to the podcast, 8 00:00:25,880 --> 00:00:27,620 and thank you so much for being here today. 9 00:00:28,890 --> 00:00:30,360 Thank you so much for having me, Erica. 10 00:00:31,310 --> 00:00:32,730 Uh, we're thrilled to have you. 11 00:00:32,990 --> 00:00:35,330 And I know I already shared your name and your role, 12 00:00:35,390 --> 00:00:38,130 but I think it might help to give our listeners some context. 13 00:00:38,310 --> 00:00:40,810 If you could just share a little bit more about yourself, 14 00:00:41,080 --> 00:00:44,010 perhaps your background and maybe a little bit about your role too. 15 00:00:45,410 --> 00:00:47,610 Absolutely. So again, my name is IGEL Samit. 16 00:00:47,730 --> 00:00:52,290 I am the general manager for the cardiology care area in GE Healthcare. 17 00:00:52,790 --> 00:00:55,650 Uh, I'm located in Oslo, uh, Norway, and, um, 18 00:00:56,990 --> 00:00:59,970 coming from an engineering background, but really, uh, 19 00:01:00,530 --> 00:01:04,170 somebody who has been working very closely with, with clinical, uh, 20 00:01:04,490 --> 00:01:06,730 medicine throughout my whole career. Uh, 21 00:01:06,850 --> 00:01:10,210 I really started to become in love with the whole cardiology field back in 96 22 00:01:10,210 --> 00:01:14,650 when I was at Stanford, working on developing intravascular ultrasound and, um, 23 00:01:15,560 --> 00:01:17,850 also have had quite a bit of an academic career. 24 00:01:18,010 --> 00:01:20,770 I have a PhD in medical imaging and also hold a, 25 00:01:20,970 --> 00:01:24,250 a faculty position at the University of Oslo, where I supervis PhD students, 26 00:01:24,270 --> 00:01:27,090 mostly in artificial intelligence in medicine, 27 00:01:27,430 --> 00:01:30,250 but I've been leading the cardiology care pathway for GE Healthcare for the 28 00:01:30,440 --> 00:01:32,170 past, uh, three years, and, uh, 29 00:01:32,790 --> 00:01:37,650 and really excited about the whole space of, uh, where cardiology is going, 30 00:01:37,660 --> 00:01:40,010 where all the innovations that are are happening. 31 00:01:40,070 --> 00:01:43,610 So it's a super exciting time to be in cardiology and, 32 00:01:43,610 --> 00:01:46,850 and see how we can contribute to, uh, healthcare in the future. 33 00:01:47,910 --> 00:01:50,680 Fantastic. Well, thank you so much for sharing that, for sharing that. 34 00:01:50,680 --> 00:01:53,840 It sounds like you're bringing in so much experience, uh, 35 00:01:54,520 --> 00:01:56,120 a diverse background with engineering. 36 00:01:56,720 --> 00:01:59,280 I know you mentioned some experience with AI in medicine too, 37 00:02:00,020 --> 00:02:03,960 and to your point about where cardiology and innovation is going, I know you, 38 00:02:04,060 --> 00:02:05,760 you noted some excitement around that. 39 00:02:06,020 --> 00:02:09,800 So technology and innovation really are healthcare leaders, 40 00:02:10,500 --> 00:02:12,880 at least some of their top priorities right now. 41 00:02:13,140 --> 00:02:17,800 So what trends are you noticing in regards to hospital and health systems 42 00:02:18,440 --> 00:02:21,760 adoption of new tools, especially in the cardiology space? 43 00:02:23,510 --> 00:02:26,190 I think that's a super exciting question, and, and to me, 44 00:02:26,190 --> 00:02:30,190 it really doesn't start with technology or innovation, but it starts with the, 45 00:02:30,770 --> 00:02:32,110 the needs and, 46 00:02:32,250 --> 00:02:37,190 and the trends that we know are important for both patients and for healthcare 47 00:02:37,430 --> 00:02:39,870 providers in, in this space. So maybe if I, 48 00:02:39,870 --> 00:02:44,150 if I just were to talk about quickly some of the top trends, uh, 49 00:02:44,180 --> 00:02:45,430 that we see in this space, 50 00:02:45,450 --> 00:02:49,550 and number one for me would be really related to rapid diagnostics and therapy. 51 00:02:50,290 --> 00:02:54,950 Uh, you know, we see that a lot of time is being spent, uh, 52 00:02:55,250 --> 00:02:57,790 to really find the right diagnosis and treatment for, 53 00:02:58,050 --> 00:03:01,920 for patients where they may need to wait for certain exams or there's 54 00:03:01,920 --> 00:03:06,120 complicated pathways that really leads to, to the most optimal outcomes. 55 00:03:07,100 --> 00:03:11,600 But with the, the advent of a little non-invasive testing, you know, 56 00:03:11,600 --> 00:03:13,160 we can talk, take Corona art disease, 57 00:03:13,160 --> 00:03:18,160 an example where we're moving from invasive testing with invasive angio 58 00:03:18,220 --> 00:03:22,800 to noninvasive testing with coronary CT angio or, or stress imaging. 59 00:03:23,320 --> 00:03:24,440 I think that's really an, 60 00:03:24,500 --> 00:03:29,240 an opportunity for providers to really jump on a new set of 61 00:03:29,240 --> 00:03:31,320 technologies that can be beneficial for patients, 62 00:03:31,320 --> 00:03:34,920 but really also for healthcare systems, uh, in providing a, 63 00:03:35,080 --> 00:03:37,720 a TRIR for patients much faster. Uh, 64 00:03:37,740 --> 00:03:41,840 and I think maybe related to that is it's the whole growth of new tools in, 65 00:03:41,940 --> 00:03:44,640 in decision support. And we talked about AI here, 66 00:03:45,190 --> 00:03:49,960 that we can leverage data to help optimize those pathways for, for patients, 67 00:03:50,420 --> 00:03:54,240 uh, to predict, uh, the risk of having, uh, 68 00:03:55,100 --> 00:03:58,280 severe disease or the risk of progressing to more severe disease, 69 00:03:58,500 --> 00:04:00,080 really by looking at, at data. 70 00:04:00,260 --> 00:04:04,880 So we see a lot of healthcare providers spending more time and more energy into 71 00:04:05,110 --> 00:04:08,480 understanding data and maybe even training machine learning models to, 72 00:04:08,480 --> 00:04:10,680 to predict that for, for patients. Uh, 73 00:04:10,880 --> 00:04:15,040 and just to add a couple of other trends that I think are super important. One, 74 00:04:15,100 --> 00:04:19,640 one is the, the trend towards, uh, chance catheter therapy in the, in, 75 00:04:19,640 --> 00:04:21,560 in the cardiology space. You know, 76 00:04:21,560 --> 00:04:26,160 in the past most procedures for patients were done invasively or, or surgically, 77 00:04:26,580 --> 00:04:30,400 uh, but with all the, uh, all the implantable devices now, 78 00:04:30,400 --> 00:04:34,360 particularly in the valve space, we're seeing an enormous growth of, 79 00:04:34,380 --> 00:04:37,200 of procedures. Uh, and this really needs to be supported by, 80 00:04:37,200 --> 00:04:40,320 by better technology as well. And on top of all that, you know, 81 00:04:40,320 --> 00:04:43,400 the third thing I wanna mention is just the transformation of our, 82 00:04:43,500 --> 00:04:44,720 how care is being delivered, 83 00:04:44,720 --> 00:04:48,960 where we're seeing a shift from inpatient to outpatient to out hospital 84 00:04:48,960 --> 00:04:50,480 community, and even to the home. 85 00:04:51,060 --> 00:04:53,360 So I think those are some of the main trends for me, 86 00:04:53,360 --> 00:04:57,360 sort of in the healthcare space that all are very important to cardiology. 87 00:04:57,500 --> 00:04:59,320 And I, I think we as, uh, 88 00:05:00,300 --> 00:05:03,280 as technology providers need to just meet with the best possible tools. 89 00:05:04,900 --> 00:05:06,100 Absolutely. Thanks il. 90 00:05:06,560 --> 00:05:10,460 And it really sounds like a lot of those trends align with what we're seeing in 91 00:05:10,460 --> 00:05:14,140 the greater healthcare industry, not just cardiology, but certain, 92 00:05:14,170 --> 00:05:16,260 certainly other specialty areas too. 93 00:05:16,400 --> 00:05:21,300 And when it comes to the decision support that you mentioned, rapid diagnostics, 94 00:05:21,800 --> 00:05:23,780 the shift from inpatient to outpatient, you know, 95 00:05:23,780 --> 00:05:27,100 it sounds like there's a lot of need for efficiency and streamlining here, 96 00:05:27,640 --> 00:05:30,100 and uh, I bet technology will have a huge role there. 97 00:05:31,420 --> 00:05:32,740 Absolutely. So if, 98 00:05:32,740 --> 00:05:37,140 if we were to double click a little bit on that sort of the digital space, uh, 99 00:05:37,440 --> 00:05:40,020 and go a little bit deeper into some of those challenges, 100 00:05:40,660 --> 00:05:44,620 I think that some of the things we're seeing is that oftentimes care to these 101 00:05:44,860 --> 00:05:48,500 patients is given in a quite of episodic way. 102 00:05:48,560 --> 00:05:53,180 And by that I mean that we're not always thinking about the whole trajectory of 103 00:05:53,180 --> 00:05:56,020 how the disease for this patient that might have been developing over, 104 00:05:56,650 --> 00:05:59,480 over months or, or years. Uh, and, you know, 105 00:05:59,480 --> 00:06:03,920 with big care teams that are today very multidisciplinary to oftentimes 106 00:06:04,040 --> 00:06:05,360 handoffs between different people, 107 00:06:05,360 --> 00:06:08,280 different specialties can be quite ineffective. 108 00:06:08,500 --> 00:06:10,920 And I think there's a lack of process standardization. 109 00:06:11,310 --> 00:06:15,360 Sometimes even choices are being made in silos. And, uh, you know, 110 00:06:15,400 --> 00:06:19,960 I talked about the, the data here and which is a huge opportunity, I think to, 111 00:06:19,980 --> 00:06:21,720 to leverage. But, uh, 112 00:06:22,120 --> 00:06:26,040 I wonder if there's sometimes a lack of data stewardship in the sense that a lot 113 00:06:26,040 --> 00:06:27,440 of data has been collected in healthcare, 114 00:06:27,580 --> 00:06:31,640 but maybe not too much of it is really being leveraged to, to create new, 115 00:06:31,660 --> 00:06:35,680 new insights. So one of the exciting things that GE Healthcare is doing, uh, 116 00:06:35,680 --> 00:06:36,960 in this space, uh, 117 00:06:36,980 --> 00:06:40,240 and we just actually had a personal list last week about this, 118 00:06:40,740 --> 00:06:44,360 is that we launched a new tool that we call Cardio vio. And, 119 00:06:44,380 --> 00:06:48,960 and Cardio VIO is a fully digital tool that is creating a 120 00:06:48,960 --> 00:06:50,400 longitudinal patient view, 121 00:06:50,780 --> 00:06:55,000 really looking at data across the full PA pathway for the patient. 122 00:06:55,060 --> 00:06:57,640 So I talked about sort of maybe two episodic care sometimes, 123 00:06:58,180 --> 00:07:02,960 but with cardio you can see as a care team what happened to the patient 124 00:07:03,180 --> 00:07:08,160 in terms of trends and any biomarker or imaging biomarker, medications, 125 00:07:09,680 --> 00:07:10,080 clinical data, 126 00:07:10,080 --> 00:07:13,920 everything sort of put together in a single pane of glass to sort of give the 127 00:07:13,920 --> 00:07:18,480 whole care team that very simple understanding about history, 128 00:07:18,980 --> 00:07:21,560 but also an understanding about what needs to be done next. 129 00:07:21,830 --> 00:07:26,720 Because this tool is also looking at using the, uh, the guidelines for, uh, 130 00:07:26,720 --> 00:07:30,160 and this, uh, initially for atrial fibrillation patients, uh, 131 00:07:30,380 --> 00:07:34,120 to detect potential care gaps and really just may help the care team to build 132 00:07:34,120 --> 00:07:37,360 the PO best possible care plan for, for that patient. 133 00:07:39,710 --> 00:07:43,050 Uh, thank you so much for sharing that. It sounds like an exciting new tool. 134 00:07:43,570 --> 00:07:48,370 I know that that holistic view of the patient across the care teams must be so 135 00:07:48,370 --> 00:07:51,050 helpful, not just for the care teams themselves, 136 00:07:51,150 --> 00:07:54,650 but also probably helps the patient to avoid having to repeat so much 137 00:07:54,650 --> 00:07:55,570 information about themselves. 138 00:07:55,730 --> 00:08:00,450 A absolutely, because, you know, sometimes we care for these patients in silos. 139 00:08:00,450 --> 00:08:03,770 You know, we might think about it as, uh, when we do an Echo or an E cg, like, 140 00:08:03,770 --> 00:08:08,210 you know, an Echo patient or an M R I patient, but you know, really, 141 00:08:08,910 --> 00:08:13,730 uh, what we need to look at is, is holistically a patient-centric, uh, 142 00:08:14,090 --> 00:08:17,450 approach to this and, uh, and now think about specific technologies, 143 00:08:17,510 --> 00:08:21,610 but really think about how can we improve the outcomes there. So in this tool, 144 00:08:21,610 --> 00:08:25,690 there's really a common data layer that goes across any modality or any data 145 00:08:26,010 --> 00:08:27,170 repository. And, 146 00:08:27,250 --> 00:08:30,770 and there's even potential here in the future to use artificial intelligence to 147 00:08:30,770 --> 00:08:33,770 predict, uh, disease progression. Um, 148 00:08:34,030 --> 00:08:38,690 so I think that's kind of one super exciting opportunity with, uh, you know, 149 00:08:38,690 --> 00:08:41,890 really breaking the silos within the hospital and pull all those data data 150 00:08:42,130 --> 00:08:45,610 together. And on top of that, we also have some other exciting news. We, 151 00:08:45,630 --> 00:08:47,410 we just launched, um, 152 00:08:47,810 --> 00:08:52,450 a new ultrasound product that we call vCAN airl, which is, uh, 153 00:08:52,510 --> 00:08:55,320 is looking at doing a cardiac ultrasound, 154 00:08:55,640 --> 00:08:59,600 handheld wireless that can be deployed in almost any care setting. 155 00:09:00,020 --> 00:09:03,040 So we talked about, uh, you know, care being delivered in the hospital, 156 00:09:03,100 --> 00:09:07,560 but with this fitting in your pocket, we can do ultrasound exams, uh, 157 00:09:07,660 --> 00:09:11,440 in the community, even in the home, home and uh, and um, 158 00:09:11,710 --> 00:09:16,080 through address some of that change and shift in where care is being delivered 159 00:09:16,080 --> 00:09:19,040 and just make it more accessible, uh, to, to anybody. 160 00:09:19,220 --> 00:09:22,960 So I think that there are so many opportunities days with ultrasound or, 161 00:09:23,020 --> 00:09:23,320 you know, 162 00:09:23,320 --> 00:09:27,520 even doing ECGs in the home and connect that to the hospital with our alive 163 00:09:27,550 --> 00:09:30,040 core, uh, partnership that, um, 164 00:09:30,870 --> 00:09:33,160 that we are really looking at a, 165 00:09:33,600 --> 00:09:38,160 a shift in what's possible in terms of, uh, consolidating data and, 166 00:09:38,160 --> 00:09:41,440 and creating insights for the care team that they can actually act upon. 167 00:09:43,220 --> 00:09:45,780 Absolutely. And I'm glad you mentioned accessibility. 168 00:09:45,940 --> 00:09:47,780 I think that's such an important point as well. 169 00:09:48,920 --> 00:09:51,860 So considering all of these tools, you know, 170 00:09:51,860 --> 00:09:54,620 the two new ones that you've mentioned, and of course others, 171 00:09:55,560 --> 00:09:59,700 how can these digital cardiology tools really be part of a hospital or health 172 00:09:59,700 --> 00:10:02,140 system's broader technology strategy? 173 00:10:02,810 --> 00:10:04,580 Wondering if you can share your thoughts on that. 174 00:10:05,510 --> 00:10:06,343 No, I think that's a, 175 00:10:06,360 --> 00:10:10,210 it's a very important question because when we talk about care pathways, 176 00:10:10,270 --> 00:10:12,850 we don't just talk about digital tools. You know, there's, 177 00:10:12,850 --> 00:10:15,290 there's a little lab tests, there's a little imaging tests, 178 00:10:15,290 --> 00:10:19,290 there's really a whole pathway for diagnostics. And then the next step is to, 179 00:10:19,310 --> 00:10:23,410 is to plan procedures if there's any intervention needed, and to actually, uh, 180 00:10:23,520 --> 00:10:25,290 support those procedure with, with guidance. 181 00:10:25,870 --> 00:10:29,170 And I think that the important thing is to really start with the end game and 182 00:10:29,170 --> 00:10:31,730 think about what outcomes do we wanna create, uh, 183 00:10:32,070 --> 00:10:34,730 to sort of make that whole pathway better. And, and through that, 184 00:10:34,730 --> 00:10:39,090 digital in many ways becomes the thread or the fabric that makes, uh, 185 00:10:39,260 --> 00:10:42,250 makes it possible to optimize those, those outcomes. So, 186 00:10:42,250 --> 00:10:46,010 so we've been working with several healthcare systems to help sort of design a 187 00:10:46,010 --> 00:10:49,970 better pathway for, for patients. And when, 188 00:10:50,390 --> 00:10:54,850 one example is, uh, is capital Cardiology associates that, uh, 189 00:10:54,850 --> 00:10:59,570 really wanted to create the one day, like one stop shop for, um, 190 00:11:00,110 --> 00:11:02,570 for cardiac workup. And, uh, you know, 191 00:11:02,590 --> 00:11:04,530 by putting together these different modalities, 192 00:11:04,710 --> 00:11:08,330 we talked about everything in a single facility, um, 193 00:11:08,800 --> 00:11:13,650 they were able to reduce wait times by more than more than 80% 194 00:11:13,790 --> 00:11:17,170 and, and really increase patient volumes and sort of achieve the, 195 00:11:17,310 --> 00:11:20,490 the goal that so many are looking for to be able to do more with the, 196 00:11:20,680 --> 00:11:24,090 with less or, or more, with the same amount of people and time there. 197 00:11:24,510 --> 00:11:28,330 So I think there are, that's just one example of how, um, you know, 198 00:11:28,330 --> 00:11:33,010 looking at the care pathway holistically, uh, can, can help. And, uh, and also, 199 00:11:33,230 --> 00:11:37,730 you know, we put a lot of emphasis in our digital tools in terms of automation, 200 00:11:37,730 --> 00:11:41,410 helping people spend more time with the patients and less time doing tedious 201 00:11:41,410 --> 00:11:45,970 tasks and with things like reporting or, you know, measurements. Uh, 202 00:11:45,970 --> 00:11:50,810 and I think that's just another example of how digital and AI can actually help 203 00:11:50,950 --> 00:11:53,840 to significantly reduce, um, 204 00:11:54,500 --> 00:11:59,240 the time to do a report by maybe something like 50%, uh, or, 205 00:11:59,420 --> 00:12:04,200 uh, and, and through that just, you know, free up time for, for physicians to, 206 00:12:04,220 --> 00:12:05,760 to spend more time with their patients and, 207 00:12:05,760 --> 00:12:07,840 and less time in front of the computer for. 208 00:12:08,900 --> 00:12:12,940 Sure. And I know that as the staff shortages across healthcare, 209 00:12:13,170 --> 00:12:16,180 they're really not expected to go anywhere, anytime soon. 210 00:12:16,320 --> 00:12:19,900 So automation and kind of augmenting the staff that are currently there, 211 00:12:20,220 --> 00:12:23,340 I know that, that, um, it sounds like automation really plays into that, 212 00:12:23,810 --> 00:12:25,620 helping with that challenge for sure. 213 00:12:26,800 --> 00:12:27,633 Absolutely. 214 00:12:27,650 --> 00:12:28,680 Great. Well, 215 00:12:28,760 --> 00:12:33,520 I know you had started to touch on some of the benefits that organizations are 216 00:12:33,640 --> 00:12:36,040 starting to see and implementing technology in this area. 217 00:12:36,560 --> 00:12:40,400 I think you mentioned a reduction in wait times by 80%. 218 00:12:41,000 --> 00:12:42,560 I just kind of wanted to zoom in there. 219 00:12:42,700 --> 00:12:46,400 Are there any other benefits or outcomes that you're seeing organizations 220 00:12:46,790 --> 00:12:51,520 realize in innovating in the cardiology space? Any examples that come to mind? 221 00:12:52,180 --> 00:12:52,830 You know, I, 222 00:12:52,830 --> 00:12:56,440 what I'm thinking is that we can really differentiate here between three 223 00:12:56,440 --> 00:13:00,360 different types of outcomes. So one is really related to financial outcomes for, 224 00:13:00,580 --> 00:13:01,240 for providers. 225 00:13:01,240 --> 00:13:05,840 And then I touched on the operational outcomes related to either waiting times 226 00:13:06,220 --> 00:13:10,760 or, uh, or just time spent, uh, reporting, for example. And lastly, of course, 227 00:13:11,080 --> 00:13:13,200 clinical outcomes is maybe the most important thing, you know, 228 00:13:13,260 --> 00:13:16,400 how can we make sure that patients are, um, 229 00:13:16,900 --> 00:13:19,480 are treated better and that the outcomes are, are better? 230 00:13:19,900 --> 00:13:22,320 So it's another example, just thinking a little bit about the, 231 00:13:22,340 --> 00:13:24,960 the financial element here. We, we worked with Advocate, uh, 232 00:13:24,960 --> 00:13:28,040 or our health in really streamlining their, um, 233 00:13:28,290 --> 00:13:32,320 their regular programs and, uh, and looking at both, uh, 234 00:13:32,610 --> 00:13:34,120 increasing top line, 235 00:13:34,120 --> 00:13:36,720 meaning helping them to treat more patients in the same amount of time, 236 00:13:37,020 --> 00:13:40,640 and also to take out cost by making the whole thing more, more efficient. So, 237 00:13:40,640 --> 00:13:44,000 so we're, we're really seeing that there's financial drivers around this type of 238 00:13:44,000 --> 00:13:48,040 efficiency, uh, efficiency, um, tools. And, 239 00:13:48,060 --> 00:13:52,360 and by looking at ways to take both, uh, time out and, 240 00:13:52,500 --> 00:13:56,120 and potentially increasing the volume of patients, uh, in the cath lab, 241 00:13:56,140 --> 00:14:00,560 for example, by, by using AI and, and digital, but also just using, 242 00:14:01,220 --> 00:14:04,520 uh, smarter ways to set up, uh, the whole, uh, 243 00:14:05,160 --> 00:14:08,080 interventional program to, to increase those financial outcomes. 244 00:14:08,500 --> 00:14:11,240 And then I think also financial also for patients, it's very important, 245 00:14:11,350 --> 00:14:16,120 like I talked about, moving from invasive to noninvasive diagnostics. 246 00:14:16,700 --> 00:14:20,680 If you can avoid an invasive angiogram, um, that, you know, 247 00:14:20,680 --> 00:14:24,720 many cases would be negative and would not lead to a, uh, a stent, for example, 248 00:14:25,200 --> 00:14:28,560 I think that's huge for patients as well, that, uh, that they can get a, 249 00:14:28,840 --> 00:14:33,200 a cardiac CT and, uh, and see that they can get reassured that there's, 250 00:14:33,200 --> 00:14:38,120 there's no risk, uh, or no immediate risk at least for, uh, for any, uh, 251 00:14:38,150 --> 00:14:42,240 adverse events and not having to go through an interventional procedure unless 252 00:14:42,260 --> 00:14:43,093 that's necessary. 253 00:14:44,500 --> 00:14:48,420 Hmm, absolutely. That last point you made just really resonates with me. 254 00:14:48,880 --> 00:14:53,360 My mother just went through, um, a pretty intense cardiac procedure. And so, uh, 255 00:14:53,620 --> 00:14:54,420 to your point, 256 00:14:54,420 --> 00:14:58,760 she really appreciated any moment that the doctor could identify a procedure or 257 00:14:58,760 --> 00:15:03,160 an area where they didn't have to be, uh, fully invasive. So, um, 258 00:15:03,350 --> 00:15:06,600 it's great to thank you again for sharing that. And before we, 259 00:15:06,820 --> 00:15:08,280 we close our discussion today, 260 00:15:08,600 --> 00:15:13,080 I also wanted to make sure that we were able to touch on a recent study that I 261 00:15:13,080 --> 00:15:17,440 know GE Healthcare published. So I understand it was a large study of patients, 262 00:15:17,570 --> 00:15:19,600 clinicians, and healthcare staff, 263 00:15:20,020 --> 00:15:23,960 and it was really intended to uncover their needs or their hopes and also 264 00:15:23,960 --> 00:15:25,320 expectations for the industry. 265 00:15:25,860 --> 00:15:29,880 So I wanted to ask you if there were any findings from that study that support 266 00:15:29,880 --> 00:15:31,200 what we've talked about today, 267 00:15:31,860 --> 00:15:34,440 and also if there was anything in those results that surprised you? 268 00:15:36,420 --> 00:15:41,390 Yeah, I mean, that, uh, study was actually super exciting to me. We, 269 00:15:41,450 --> 00:15:45,830 in GE Healthcare, as you mentioned, we interacted with more than 2000, 270 00:15:46,610 --> 00:15:50,830 uh, clinicians and more than 5,500 patients and, uh, 271 00:15:51,370 --> 00:15:55,510 and their caregivers to try to understand, uh, better, you know, 272 00:15:55,510 --> 00:15:59,670 some of the challenges in, uh, in, in, in medicine overall. And, you know, 273 00:15:59,670 --> 00:16:03,350 so many of these things obviously relate specifically to cardiology today. 274 00:16:03,350 --> 00:16:07,390 And what we found was that sort of one common goal, um, 275 00:16:07,850 --> 00:16:11,830 was to create the healthcare experience that is more human and more flexible, 276 00:16:12,210 --> 00:16:14,830 and that is focused on the needs of both clinicians and patients. 277 00:16:15,490 --> 00:16:17,030 And I think this, this focus on, 278 00:16:17,570 --> 00:16:21,710 on patients and having a common goal there is critically important in, 279 00:16:21,710 --> 00:16:22,750 in the cardiology space, 280 00:16:22,770 --> 00:16:26,630 and really having the patient and the care team to work in the partnership. 281 00:16:27,370 --> 00:16:32,030 So for example, I mentioned cardiovascular here earlier as a digital tool, 282 00:16:32,030 --> 00:16:37,030 which I think potentially can help, um, the care team to do exactly that, 283 00:16:37,050 --> 00:16:39,990 to sort of visualize together with the patient, um, 284 00:16:41,140 --> 00:16:44,790 what is the pathway and what are the treatment options, for example. 285 00:16:45,210 --> 00:16:48,750 So to take that look at that together and create a better partnership between 286 00:16:48,750 --> 00:16:50,510 patient care team, I think that's one of the, 287 00:16:50,510 --> 00:16:53,350 the trends we found in that study that I think, again, 288 00:16:53,350 --> 00:16:55,390 is really important in the, in the cardiology space. 289 00:16:55,890 --> 00:17:00,710 And also another trend that came outta the study was, um, the need for, um, 290 00:17:01,240 --> 00:17:05,030 smart and connected technology. So we talked about this earlier, 291 00:17:05,240 --> 00:17:08,070 about being good data stewards and, 292 00:17:08,250 --> 00:17:11,710 and leveraging the data in a smart way and in a connected way. 293 00:17:12,050 --> 00:17:14,950 And I think that's really gonna open the door for, uh, 294 00:17:14,950 --> 00:17:17,910 what I'll mention as for this, the third key finding here, 295 00:17:18,210 --> 00:17:21,950 the potential for predictive, preventative and, and precision medicine. 296 00:17:22,610 --> 00:17:25,630 So I'd say say that none of these things really surprised me, 297 00:17:25,650 --> 00:17:30,350 but I think in many ways it underlines, um, our mission and, uh, 298 00:17:30,410 --> 00:17:32,190 and our vision. You know, we want to, 299 00:17:33,450 --> 00:17:36,230 we really wanna create a world where healthcare has no limits. 300 00:17:36,290 --> 00:17:40,710 And I think it starts with imagining that world and then just think about how 301 00:17:40,730 --> 00:17:44,470 can we create it in the world around us. And, and that's, that's our purpose. 302 00:17:44,690 --> 00:17:47,430 And, and that's my personal purpose, uh, 303 00:17:47,450 --> 00:17:52,040 as well to help be one of those innovators that can imagine a world where 304 00:17:52,040 --> 00:17:54,160 healthcare has no limit and we can go about to, 305 00:17:54,180 --> 00:17:58,680 to create that world together with providers and with our partners, uh, 306 00:17:58,700 --> 00:18:01,240 so that we can make the best possible outcomes for for patients. 307 00:18:03,130 --> 00:18:06,290 Absolutely. Iil, thank you for sharing all of that. 308 00:18:06,520 --> 00:18:10,930 It's really exciting to hear about all the exciting developments going on at GE 309 00:18:10,930 --> 00:18:15,930 Healthcare and then the findings in the large study that the company conducted. 310 00:18:16,310 --> 00:18:19,410 Sounds like you're going in the right direction, and, um, 311 00:18:19,670 --> 00:18:23,010 I'm looking forward to seeing what's to come in the next few years with 312 00:18:23,010 --> 00:18:25,570 technology in this space. So thank you again for your insights. 313 00:18:26,620 --> 00:18:29,560 And thank you so much for, for great questions. It was, uh, 314 00:18:29,570 --> 00:18:30,403 great to talk to you. 315 00:18:31,300 --> 00:18:32,133 Likewise. 316 00:18:32,680 --> 00:18:36,980 And we'd also like to thank GE Healthcare today for sponsoring this episode. 317 00:18:37,480 --> 00:18:40,980 You can tune into more podcasts from Becker's Healthcare by visiting our podcast 318 00:18:41,290 --> 00:18:43,540 page at becker's hospital review.com.