1 00:00:03,160 --> 00:00:07,200 Speaker 1: Hey everyone, Welcome to the Restless Ones. I'm Jonathan Strickland. 2 00:00:07,440 --> 00:00:10,840 Speaker 1: As always, my focus is on exploring the intersection of 3 00:00:10,880 --> 00:00:14,560 Speaker 1: technology and business by having conversations with the most forward 4 00:00:14,640 --> 00:00:19,320 Speaker 1: thinking leaders. Throughout my career, I've covered everything from massive 5 00:00:19,400 --> 00:00:24,439 Speaker 1: parallel processing to advanced robotics, but what truly inspires me 6 00:00:24,960 --> 00:00:29,200 Speaker 1: are the stories of innovation and transformation. In this season, 7 00:00:29,320 --> 00:00:34,320 Speaker 1: we'll explore technologies like flexible applications, more capable devices, and 8 00:00:34,440 --> 00:00:38,000 Speaker 1: advance networking like five G that are helping business leaders 9 00:00:38,080 --> 00:00:42,240 Speaker 1: act on their big ideas quickly and unlock mission critical outcomes. 10 00:00:42,720 --> 00:00:45,760 Speaker 1: What's become clear to us after three seasons is that 11 00:00:45,840 --> 00:00:49,160 Speaker 1: we can't change tomorrow by deploying solutions of the past. 12 00:00:49,600 --> 00:00:52,360 Speaker 1: So get ready to be inspired and learn from the 13 00:00:52,400 --> 00:00:59,080 Speaker 1: best today. Our guest is doctor Peter Fleishuot Group's senior 14 00:00:59,160 --> 00:01:02,959 Speaker 1: vice president and chief Information and Transformation Officer at New 15 00:01:03,040 --> 00:01:09,000 Speaker 1: York Presbyterian Hospital. Peter's background is as an anesthesiologist, but 16 00:01:09,280 --> 00:01:11,560 Speaker 1: over the course of his career, he has sought new 17 00:01:11,600 --> 00:01:15,280 Speaker 1: ways to create positive change in the healthcare industry, from 18 00:01:15,440 --> 00:01:20,640 Speaker 1: solving challenges facing administration to improving patient experiences and quality 19 00:01:20,640 --> 00:01:24,960 Speaker 1: of life. It's no small task, and Peter recognizes that 20 00:01:24,959 --> 00:01:28,360 Speaker 1: technology has an important part to play, and I got 21 00:01:28,360 --> 00:01:31,760 Speaker 1: a peek at how some cutting edge and maturing technologies 22 00:01:31,920 --> 00:01:36,840 Speaker 1: are poised to change everything in healthcare. But before I 23 00:01:36,880 --> 00:01:39,200 Speaker 1: get carried away with all the tech, I wanted to 24 00:01:39,280 --> 00:01:46,360 Speaker 1: learn more about Peter himself. Peter, I want to thank 25 00:01:46,400 --> 00:01:49,440 Speaker 1: you for joining us today for this conversation. Welcome to 26 00:01:49,480 --> 00:01:50,840 Speaker 1: the Restless Ones. 27 00:01:51,120 --> 00:01:53,480 Speaker 2: Jonathan, thank you very much for having me here today. 28 00:01:53,520 --> 00:01:54,520 Speaker 2: I really appreciate it. 29 00:01:55,040 --> 00:01:57,440 Speaker 1: I'm really excited about the topics we're going to get 30 00:01:57,480 --> 00:02:00,520 Speaker 1: into today. And to start off, I'd like to hear 31 00:02:00,560 --> 00:02:03,640 Speaker 1: about how your career path in medicine led to you 32 00:02:03,720 --> 00:02:07,000 Speaker 1: becoming Chief Information and Transformation Officer for a New York 33 00:02:07,040 --> 00:02:08,200 Speaker 1: Presbyterian Hospital. 34 00:02:08,840 --> 00:02:11,919 Speaker 2: Jonathan. Way back when, I always knew that I wanted 35 00:02:11,960 --> 00:02:14,360 Speaker 2: to take care of patients, and I trained in a 36 00:02:14,400 --> 00:02:17,480 Speaker 2: specialty that allowed me to take care of a patient, 37 00:02:17,760 --> 00:02:20,440 Speaker 2: one patient at a time, and over the evolution of 38 00:02:20,480 --> 00:02:23,680 Speaker 2: my career, I ended up taking care of those patients. 39 00:02:23,680 --> 00:02:26,080 Speaker 2: When I used to take care of liver transplant patients 40 00:02:26,120 --> 00:02:30,440 Speaker 2: getting surgery, I then started taking and overseeing multiple patients 41 00:02:30,440 --> 00:02:34,760 Speaker 2: with multiple care teams. I then ended up frankly overseeing 42 00:02:34,760 --> 00:02:37,239 Speaker 2: our operating rooms when we used to run eighty five 43 00:02:37,320 --> 00:02:39,800 Speaker 2: locations in a day, and that's led me to my 44 00:02:39,880 --> 00:02:40,520 Speaker 2: current role. 45 00:02:41,080 --> 00:02:44,160 Speaker 1: I love that answer. I love starting from the desire 46 00:02:44,240 --> 00:02:47,520 Speaker 1: to help and then figuring out how to help more 47 00:02:47,639 --> 00:02:51,800 Speaker 1: people over time out of curiosity. When you're talking with 48 00:02:51,840 --> 00:02:54,480 Speaker 1: someone in a casual setting and they ask what do 49 00:02:54,520 --> 00:02:57,000 Speaker 1: you do for a living, how do you actually describe 50 00:02:57,040 --> 00:02:58,800 Speaker 1: what your job is to someone? 51 00:03:00,040 --> 00:03:02,160 Speaker 2: First and foremost, I get to work with the most 52 00:03:02,200 --> 00:03:05,000 Speaker 2: amazing people in the world. I have an unbelievable team 53 00:03:05,320 --> 00:03:10,880 Speaker 2: where I oversee the management and operations of IT lab operations, 54 00:03:10,919 --> 00:03:16,720 Speaker 2: pharmacy operations, data analytics, and artificial intelligence, and we are 55 00:03:16,760 --> 00:03:19,480 Speaker 2: really the backbone of a lot of the system to 56 00:03:19,600 --> 00:03:23,200 Speaker 2: help the doctors, the nurses, the patients, and the providers 57 00:03:23,240 --> 00:03:26,880 Speaker 2: as they go through their care. And that really encompasses 58 00:03:27,000 --> 00:03:28,760 Speaker 2: my day to day responsibilities. 59 00:03:29,480 --> 00:03:33,359 Speaker 1: Incredible and you sort of touched on this, but can 60 00:03:33,400 --> 00:03:36,560 Speaker 1: you talk a little bit more about how your clinical 61 00:03:36,600 --> 00:03:41,320 Speaker 1: experience as an anesthesiologist guided the way you think both 62 00:03:41,440 --> 00:03:44,280 Speaker 1: like a patient and a provider. That experience of helping 63 00:03:44,280 --> 00:03:48,920 Speaker 1: people one on one, how that shapes your approach in 64 00:03:49,000 --> 00:03:49,880 Speaker 1: your current role. 65 00:03:50,680 --> 00:03:54,280 Speaker 2: So a lot of people don't know, but antithesiologists are 66 00:03:54,800 --> 00:03:58,880 Speaker 2: uniquely positioned all throughout the health system. When I trained 67 00:03:58,880 --> 00:04:02,520 Speaker 2: to be an antistesiologist, I got the exposure of working 68 00:04:02,560 --> 00:04:06,080 Speaker 2: in an outpatient area as a pain provider. I got 69 00:04:06,080 --> 00:04:10,480 Speaker 2: the opportunity to work in operating rooms, in ICUs and 70 00:04:10,520 --> 00:04:16,200 Speaker 2: critical care. I got to be in various radiology areas, 71 00:04:16,560 --> 00:04:21,680 Speaker 2: endoscopy suites, cathartization labs, and you really end up working 72 00:04:22,080 --> 00:04:25,880 Speaker 2: in many, many different parts of the system. One from 73 00:04:25,960 --> 00:04:31,800 Speaker 2: a patient perspective, it's especially that I feel is kind 74 00:04:31,800 --> 00:04:34,520 Speaker 2: of behind the scenes to help support the patient get 75 00:04:34,560 --> 00:04:38,880 Speaker 2: safely through their experience. And it's heavily reliant on technology, 76 00:04:39,440 --> 00:04:44,760 Speaker 2: but it's also very multidisciplinary in its nature, and that 77 00:04:44,880 --> 00:04:46,920 Speaker 2: really helped set me up for success. 78 00:04:47,480 --> 00:04:51,760 Speaker 1: And I imagine as an nesthesiologist, in your relationship to patients, 79 00:04:52,400 --> 00:04:54,560 Speaker 1: a lot of your work also would come in the 80 00:04:54,560 --> 00:04:57,760 Speaker 1: form of communication and to make certain that you're able 81 00:04:57,880 --> 00:05:02,960 Speaker 1: to communicate with peers patients what you're doing, why the 82 00:05:03,000 --> 00:05:05,000 Speaker 1: approach is the way it is. And I see that 83 00:05:05,080 --> 00:05:09,120 Speaker 1: as a key element in the role of technology and 84 00:05:09,160 --> 00:05:12,240 Speaker 1: healthcare as well, the ability to be able to communicate 85 00:05:12,680 --> 00:05:16,920 Speaker 1: the purpose of that tech in a way where everyone 86 00:05:17,000 --> 00:05:21,400 Speaker 1: involved in the discussion, whether it's c suite executives or 87 00:05:21,520 --> 00:05:25,680 Speaker 1: it's the patient in the hospital room, that they understand 88 00:05:26,040 --> 00:05:29,840 Speaker 1: the role that is playing and how it supports the 89 00:05:29,920 --> 00:05:33,680 Speaker 1: overall mission of overseeing health for patients. 90 00:05:34,320 --> 00:05:38,839 Speaker 2: I couldn't agree more. You're spot on. Communication is critical 91 00:05:38,880 --> 00:05:41,640 Speaker 2: to our frontlines all the way to our board, and 92 00:05:42,080 --> 00:05:45,240 Speaker 2: getting the right amount of information to the right amount 93 00:05:45,279 --> 00:05:49,040 Speaker 2: of people is essential. I've also found, as you mentioned, 94 00:05:49,080 --> 00:05:54,560 Speaker 2: technology has transformed that landscape. The sheer amount of connectivity 95 00:05:54,800 --> 00:05:58,520 Speaker 2: that exists amongst our employees and amongst our patients is 96 00:05:58,600 --> 00:06:02,560 Speaker 2: unprecedented and it really enables what I think is the 97 00:06:02,640 --> 00:06:07,680 Speaker 2: digital transformation. The connectivity and the speed at which people 98 00:06:07,720 --> 00:06:12,120 Speaker 2: get information today is astronomically faster than they have in 99 00:06:12,160 --> 00:06:15,560 Speaker 2: the past, and things like which I'm sure we'll talk 100 00:06:15,600 --> 00:06:21,400 Speaker 2: about later. Chat EPT will fundamentally and is fundamentally changing 101 00:06:21,520 --> 00:06:26,680 Speaker 2: information delivery, the ability to be answered questions. The challenge 102 00:06:27,080 --> 00:06:29,640 Speaker 2: as a provider is we've got to get the right 103 00:06:29,680 --> 00:06:33,400 Speaker 2: information to our patients, and it needs to be high quality, 104 00:06:33,839 --> 00:06:36,240 Speaker 2: and it needs to be secure, and it needs to 105 00:06:36,279 --> 00:06:39,000 Speaker 2: be protected. So I see my job in a couple 106 00:06:39,040 --> 00:06:42,440 Speaker 2: ways to further that transformation, but to do it in 107 00:06:42,480 --> 00:06:45,120 Speaker 2: a secure and in a high quality way. 108 00:06:45,839 --> 00:06:50,679 Speaker 1: Connectivity is one of those technologies that enables everything else. 109 00:06:50,880 --> 00:06:53,120 Speaker 1: So one thing I wanted to ask you about is 110 00:06:53,640 --> 00:06:57,960 Speaker 1: can you describe your efforts to reduce friction in the 111 00:06:58,000 --> 00:07:04,840 Speaker 1: patient experience using connectivity? How has connectivity changed that process 112 00:07:04,960 --> 00:07:06,640 Speaker 1: for the average patient? 113 00:07:07,360 --> 00:07:11,880 Speaker 2: Great question. Let me set a baseline. Three years ago, 114 00:07:12,320 --> 00:07:16,320 Speaker 2: we were on nine different electronic records and that was 115 00:07:16,400 --> 00:07:19,559 Speaker 2: one part of how disconnected we were at the time. 116 00:07:20,080 --> 00:07:23,560 Speaker 2: But it wasn't just there. We also had ten thousand 117 00:07:23,680 --> 00:07:26,640 Speaker 2: order sets and these are the care pathways that the 118 00:07:26,680 --> 00:07:30,120 Speaker 2: doctors would be using to care for our patients. We 119 00:07:30,240 --> 00:07:34,360 Speaker 2: also had what's called five formularies. Those are the drug 120 00:07:34,400 --> 00:07:37,040 Speaker 2: catalogs of all the drugs that the doctors would use, 121 00:07:37,040 --> 00:07:39,800 Speaker 2: and there was five of them. One of the efforts 122 00:07:39,840 --> 00:07:42,640 Speaker 2: we took on with our ten thousand doctors at Wild 123 00:07:42,640 --> 00:07:46,520 Speaker 2: Cornell and Columbia was how do we standardize all that work? 124 00:07:46,600 --> 00:07:49,760 Speaker 2: So we go from ten thousand to one thousand pathways, 125 00:07:50,120 --> 00:07:53,320 Speaker 2: go from five drug catalogs to one, and we've done 126 00:07:53,360 --> 00:07:56,680 Speaker 2: that transformation. Most other systems have done it, but we've 127 00:07:56,720 --> 00:07:58,800 Speaker 2: done it in a way where we went to one 128 00:07:58,960 --> 00:08:04,360 Speaker 2: instance and one connected system across our whole health system 129 00:08:04,360 --> 00:08:08,280 Speaker 2: of eleven hospitals. And these are academic hospitals, they're small 130 00:08:08,280 --> 00:08:12,800 Speaker 2: and large community hospitals. And so that connectivity in the 131 00:08:12,960 --> 00:08:17,120 Speaker 2: process by which we went through fundamentally changed our operations. 132 00:08:17,160 --> 00:08:21,120 Speaker 2: It's fundamentally changed how we care for patients. Now we're 133 00:08:21,200 --> 00:08:25,080 Speaker 2: probably in the second of nine innings right now, we 134 00:08:25,160 --> 00:08:29,000 Speaker 2: know we need to go even further. It's not easy 135 00:08:29,200 --> 00:08:32,920 Speaker 2: for a patient to interact with the system. There's thousands 136 00:08:32,960 --> 00:08:36,920 Speaker 2: of phone numbers to call, there's maybe multiple mobile apps, 137 00:08:37,240 --> 00:08:43,160 Speaker 2: there's multiple pieces of education, there's multiple options to either 138 00:08:43,600 --> 00:08:47,720 Speaker 2: schedule yourself or to call or to deal with a chatbot. 139 00:08:48,240 --> 00:08:51,640 Speaker 2: And I look at our opportunity is to streamline that. 140 00:08:51,760 --> 00:08:54,640 Speaker 2: We got to reduce the friction so that there's one 141 00:08:54,720 --> 00:08:57,920 Speaker 2: number to call, there's an ability to do it self 142 00:08:57,960 --> 00:09:01,680 Speaker 2: service to me, that's just found aational But then you 143 00:09:01,760 --> 00:09:04,480 Speaker 2: layer on some of the more advanced NLP models, you 144 00:09:04,520 --> 00:09:06,720 Speaker 2: can start to even see how you can be able 145 00:09:06,760 --> 00:09:09,400 Speaker 2: to get that into a care pathway and make it 146 00:09:09,440 --> 00:09:11,839 Speaker 2: even easier for patients so that you can integrate it 147 00:09:11,880 --> 00:09:15,480 Speaker 2: with the education and the scheduling and the prescriptions, and 148 00:09:15,520 --> 00:09:18,720 Speaker 2: that type of digital care model is ultimately going to 149 00:09:18,720 --> 00:09:22,080 Speaker 2: get us to higher level care, much more productive, much 150 00:09:22,080 --> 00:09:25,880 Speaker 2: more efficient, and allow not only patients to be happier, 151 00:09:26,200 --> 00:09:28,480 Speaker 2: but allow providers to be able to operate at the 152 00:09:28,480 --> 00:09:29,440 Speaker 2: top of their license. 153 00:09:30,240 --> 00:09:34,640 Speaker 1: I love that and the implication that through the implementation 154 00:09:34,720 --> 00:09:38,400 Speaker 1: of technology or removing barriers that patients might run into 155 00:09:38,520 --> 00:09:42,920 Speaker 1: otherwise that could even potentially discourage them from seeking care 156 00:09:43,600 --> 00:09:47,600 Speaker 1: that would otherwise be transformational in their lives. People who 157 00:09:47,720 --> 00:09:51,640 Speaker 1: genuinely need those services are able to get them with 158 00:09:51,720 --> 00:09:55,319 Speaker 1: as few bottlenecks and pain points along the way as possible, 159 00:09:55,760 --> 00:09:59,920 Speaker 1: and anything that makes that smoother is a huge benefit. 160 00:10:00,480 --> 00:10:03,360 Speaker 2: If it's okay, I'd love to give one other example. 161 00:10:04,600 --> 00:10:08,320 Speaker 2: A significant majority of our patients go through processes to 162 00:10:08,360 --> 00:10:10,880 Speaker 2: see a provider and they choose to give a patient 163 00:10:11,000 --> 00:10:16,080 Speaker 2: what's called a specialty pharmaceutical. Specialty pharmaceuticals are very high cost, 164 00:10:16,800 --> 00:10:19,559 Speaker 2: they're hard to get a hold of, they're hard to deliver, 165 00:10:20,200 --> 00:10:24,240 Speaker 2: they're very difficult to administer, and any patient who's had 166 00:10:24,240 --> 00:10:26,880 Speaker 2: to go through one of these processes knows how fragmented 167 00:10:26,920 --> 00:10:29,800 Speaker 2: it is. It's not easy to find the drugs, it's 168 00:10:29,800 --> 00:10:32,720 Speaker 2: not easy to get them in their home. They're expensive, 169 00:10:33,120 --> 00:10:36,880 Speaker 2: there's not good follow up. By using technology and a 170 00:10:36,880 --> 00:10:40,520 Speaker 2: better care model, we've been able to make it so 171 00:10:40,559 --> 00:10:43,360 Speaker 2: that we could have liaisons working side by side with 172 00:10:43,400 --> 00:10:47,120 Speaker 2: our doctors. They can be able to look and identify 173 00:10:47,720 --> 00:10:50,600 Speaker 2: patient's insurance and their benefits to get them the right 174 00:10:50,640 --> 00:10:53,760 Speaker 2: structure so they have the right copays. We've been able 175 00:10:53,800 --> 00:10:56,480 Speaker 2: to integrate into our electronics systems so that we can 176 00:10:56,520 --> 00:10:59,920 Speaker 2: get the drugs ordered seamlessly and make it so that 177 00:11:00,080 --> 00:11:03,280 Speaker 2: patients normally would get these drugs within two to three weeks, 178 00:11:03,679 --> 00:11:06,400 Speaker 2: we get to to them within two days. We have 179 00:11:06,600 --> 00:11:11,600 Speaker 2: follow up processes with clinical pharmacologists and pharmacists that are 180 00:11:11,640 --> 00:11:13,880 Speaker 2: following up with the patients to be able to help 181 00:11:13,920 --> 00:11:16,440 Speaker 2: them so that if they happen to be taking something 182 00:11:16,600 --> 00:11:20,440 Speaker 2: like an oral chemo, they not only are more educated 183 00:11:20,520 --> 00:11:22,360 Speaker 2: about it, they know what to do, and if they're 184 00:11:22,400 --> 00:11:24,480 Speaker 2: getting side effects, they don't have to come back in 185 00:11:24,559 --> 00:11:26,679 Speaker 2: through the ED. They can take care of it in 186 00:11:26,720 --> 00:11:30,640 Speaker 2: their home. That type of care model transferation using data 187 00:11:30,760 --> 00:11:34,040 Speaker 2: and people has led us to having a system where 188 00:11:34,200 --> 00:11:38,120 Speaker 2: our net promoter score of that care model is around eighty. 189 00:11:38,760 --> 00:11:42,760 Speaker 2: Patients absolutely love it it's thoughtful and to your point, 190 00:11:42,920 --> 00:11:47,160 Speaker 2: it also helps the doctors. Prior authorizations is the process 191 00:11:47,280 --> 00:11:50,080 Speaker 2: our doctors have to go through to get approval to 192 00:11:50,120 --> 00:11:53,360 Speaker 2: get patients their medications. We've now been able to enable 193 00:11:53,360 --> 00:11:55,679 Speaker 2: that with this care team, so the doctors don't have 194 00:11:55,720 --> 00:11:58,320 Speaker 2: to be the one doing the prior authorizations. And this 195 00:11:58,520 --> 00:12:03,000 Speaker 2: whole model has led to better quality, a better patient experience, 196 00:12:03,080 --> 00:12:04,600 Speaker 2: and overall a better experience. 197 00:12:05,440 --> 00:12:08,520 Speaker 1: When I was doing research before speaking with you, one 198 00:12:08,520 --> 00:12:13,280 Speaker 1: of the topics I came across was a collaboration with 199 00:12:13,960 --> 00:12:17,760 Speaker 1: Royal Phillips, and I was wondering if you could talk 200 00:12:17,840 --> 00:12:22,400 Speaker 1: a little bit about that and how New York Presbyterian 201 00:12:22,640 --> 00:12:27,280 Speaker 1: incorporated Phillips technology for things like remote monitoring, and how 202 00:12:27,320 --> 00:12:31,080 Speaker 1: that system works both from the provider side and from 203 00:12:31,320 --> 00:12:32,720 Speaker 1: the patient side. 204 00:12:33,200 --> 00:12:36,120 Speaker 2: The telemedicine was a key component to what we needed 205 00:12:36,200 --> 00:12:39,480 Speaker 2: to do for our patients. We were very early on 206 00:12:39,559 --> 00:12:42,000 Speaker 2: in the journey at the time. I think then we 207 00:12:42,040 --> 00:12:45,000 Speaker 2: did about one thousand visits in a year, and then 208 00:12:45,080 --> 00:12:48,280 Speaker 2: the next year we did about ten thousand visits, which 209 00:12:48,480 --> 00:12:51,920 Speaker 2: at the time we thought was just unbelievable. The year 210 00:12:52,000 --> 00:12:54,920 Speaker 2: after that we did two hundred and fifty thousand visits 211 00:12:54,920 --> 00:12:57,640 Speaker 2: and then five hundred thousand visits and it started to compound. 212 00:12:57,720 --> 00:13:00,600 Speaker 2: Now to say that today is not as much of 213 00:13:00,600 --> 00:13:03,880 Speaker 2: an achievement because we all know when COVID started and 214 00:13:03,960 --> 00:13:06,920 Speaker 2: in twenty twenty eight we did one point three million visits. 215 00:13:07,440 --> 00:13:10,600 Speaker 2: But at the time we felt, not only if you 216 00:13:10,640 --> 00:13:15,760 Speaker 2: can provide the video interaction and the expert physician, what 217 00:13:15,840 --> 00:13:18,640 Speaker 2: other things need to be there, like remote monitoring and 218 00:13:18,720 --> 00:13:21,760 Speaker 2: being able to provide the ability to get blood pressure, 219 00:13:21,840 --> 00:13:26,760 Speaker 2: heart rate, oxygen level. And doing that with Phillips was transformational. 220 00:13:27,200 --> 00:13:30,600 Speaker 2: As an example, it enabled a whole team of physician 221 00:13:30,640 --> 00:13:34,880 Speaker 2: assistants with the doctors that remotely monitor patients that are 222 00:13:34,920 --> 00:13:38,280 Speaker 2: all in an evolution and severity of heart failure, so 223 00:13:38,320 --> 00:13:40,880 Speaker 2: a patient could be at home, be able to check 224 00:13:40,920 --> 00:13:43,600 Speaker 2: their vitals based on those results, it goes to a 225 00:13:43,640 --> 00:13:46,960 Speaker 2: central team and they can help advise and guide them 226 00:13:47,120 --> 00:13:50,320 Speaker 2: with various pathways as to when it's appropriate for them 227 00:13:50,360 --> 00:13:53,360 Speaker 2: to come in or when it's appropriate to stay at home. 228 00:13:53,920 --> 00:13:57,800 Speaker 2: This will only compound and it fundamentally enabled us to 229 00:13:57,880 --> 00:14:00,320 Speaker 2: take care of patients better in the home than we're 230 00:14:00,320 --> 00:14:01,600 Speaker 2: ever able to do in the past. 231 00:14:02,280 --> 00:14:06,960 Speaker 1: And again it gets back to how connectivity enables all 232 00:14:07,000 --> 00:14:11,520 Speaker 1: of this to happen. Obviously, without the connectivity piece in place, 233 00:14:11,960 --> 00:14:16,920 Speaker 1: you can't do this. I'm curious, do you foresee technologies 234 00:14:17,200 --> 00:14:20,280 Speaker 1: such as the fact that we're now seeing low latency, 235 00:14:20,360 --> 00:14:25,160 Speaker 1: high bandwidth wireless connectivity. Do you see that playing a 236 00:14:25,280 --> 00:14:29,160 Speaker 1: growing important role in the healthcare sector as it opens 237 00:14:29,240 --> 00:14:31,960 Speaker 1: up the opportunity to do things that in the past 238 00:14:32,000 --> 00:14:33,200 Speaker 1: we've just been unthinkable. 239 00:14:33,880 --> 00:14:36,560 Speaker 2: I think in short, yes, I feel that's essential. And 240 00:14:36,600 --> 00:14:39,960 Speaker 2: now ultimately five G and some of the connectivity will 241 00:14:40,000 --> 00:14:44,480 Speaker 2: be needed. We'll definitely need that advancing technology as we 242 00:14:44,600 --> 00:14:50,760 Speaker 2: start to use more multimodal data. We currently primarily use 243 00:14:51,200 --> 00:14:54,400 Speaker 2: data from our electronic health record, which ends up to 244 00:14:54,440 --> 00:14:58,320 Speaker 2: be a lot of numerical data. But I think the 245 00:14:58,440 --> 00:15:03,840 Speaker 2: true value is and architecture that enables multimodal data. What 246 00:15:03,880 --> 00:15:06,960 Speaker 2: I mean by that is data cores of all the 247 00:15:07,000 --> 00:15:11,320 Speaker 2: imaging that's done, data cores of all the pathology, all 248 00:15:11,440 --> 00:15:17,120 Speaker 2: the genomics, all of the live physiologic streaming data, all 249 00:15:17,160 --> 00:15:21,880 Speaker 2: the exposone data. As we start to develop models using 250 00:15:22,040 --> 00:15:26,240 Speaker 2: multimodal data, we're going to need more and more advanced 251 00:15:26,280 --> 00:15:29,840 Speaker 2: technologies in terms of bandwidth and five g connectivity to 252 00:15:29,880 --> 00:15:32,000 Speaker 2: be able to run those models, so eventually we'll get 253 00:15:32,040 --> 00:15:33,400 Speaker 2: to a point of needing them. 254 00:15:33,720 --> 00:15:37,520 Speaker 1: Yeah, that to me is one of those dream applications 255 00:15:37,560 --> 00:15:41,920 Speaker 1: of the technology. The ability to do things like move 256 00:15:42,720 --> 00:15:46,320 Speaker 1: huge packages of data in the form of medical imaging 257 00:15:46,560 --> 00:15:51,720 Speaker 1: rapidly between points that don't require a physical connection. It's 258 00:15:51,720 --> 00:15:55,520 Speaker 1: almost magical in how fast it moves. I love technology 259 00:15:55,600 --> 00:15:57,960 Speaker 1: in all its forms, but when I'm starting to talk 260 00:15:57,960 --> 00:16:01,760 Speaker 1: about technology and it's potential to impact people's lives and 261 00:16:01,920 --> 00:16:05,160 Speaker 1: on the back end make things smoother, to me, that's 262 00:16:05,240 --> 00:16:10,000 Speaker 1: just a beautiful story. Being able to improve the quality 263 00:16:10,160 --> 00:16:13,640 Speaker 1: on the back end is just as important in order 264 00:16:13,680 --> 00:16:18,400 Speaker 1: to ensure that that healthcare quality is present for the patients. 265 00:16:18,960 --> 00:16:20,000 Speaker 2: I couldn't agree more. 266 00:16:29,200 --> 00:16:34,080 Speaker 1: What role is AI playing right now in medicine and 267 00:16:34,160 --> 00:16:37,800 Speaker 1: where do you see it going in the near future. 268 00:16:38,600 --> 00:16:41,360 Speaker 2: I see it in two major areas. I think it 269 00:16:41,440 --> 00:16:44,800 Speaker 2: can be used to reduce friction for our patients and 270 00:16:44,880 --> 00:16:50,960 Speaker 2: providers in very seamless ways, better care navigation, call center automation, 271 00:16:51,840 --> 00:16:55,520 Speaker 2: prior authorization provals, things that we can do to streamline 272 00:16:55,520 --> 00:16:58,840 Speaker 2: the front end processes. Those will have a direct benefit. 273 00:16:59,320 --> 00:17:03,320 Speaker 2: They will definitly reduce that burden of disease. But ultimately 274 00:17:03,320 --> 00:17:06,040 Speaker 2: I think there's a bigger vision, and that bigger vision 275 00:17:06,200 --> 00:17:08,960 Speaker 2: really is in the reduction of the burden of disease. 276 00:17:09,680 --> 00:17:13,080 Speaker 2: We have over one hundred projects that we deploy across 277 00:17:13,080 --> 00:17:18,119 Speaker 2: the system focused in these areas to help identify patients 278 00:17:18,200 --> 00:17:22,320 Speaker 2: where we can impact the mortality. Another example of one 279 00:17:22,400 --> 00:17:26,720 Speaker 2: is we do approximately twenty six thousand deliveries a year. 280 00:17:27,240 --> 00:17:30,639 Speaker 2: Moms come in when and they're pregnant, getting ready to deliver, 281 00:17:31,080 --> 00:17:35,040 Speaker 2: and they put monitors on to monitor the baby. There 282 00:17:35,080 --> 00:17:38,640 Speaker 2: are signals in those fetal heart rate tracings that can 283 00:17:38,680 --> 00:17:42,560 Speaker 2: indicate when a baby may not be getting enough oxygen, 284 00:17:43,440 --> 00:17:47,239 Speaker 2: and the obstetricians and the doctors know and have a 285 00:17:47,320 --> 00:17:49,719 Speaker 2: series of protocols in place of what to do when 286 00:17:49,800 --> 00:17:53,640 Speaker 2: that occurs. But the sheer volume of data coming in 287 00:17:53,760 --> 00:17:57,600 Speaker 2: is so large and so massive that we've now implementing 288 00:17:57,720 --> 00:18:00,680 Speaker 2: an AI system that's reading and looking at those fetal 289 00:18:00,720 --> 00:18:03,000 Speaker 2: heart rate tracings to be able to prompt the doctor 290 00:18:03,119 --> 00:18:07,360 Speaker 2: to say we think that this patient may be experiencing 291 00:18:07,440 --> 00:18:10,840 Speaker 2: some type of hypoxia meaning not enough oxygen, to be 292 00:18:10,920 --> 00:18:13,560 Speaker 2: able to identify those babies faster, so that we can 293 00:18:13,560 --> 00:18:16,919 Speaker 2: be able to intervene to fundamentally save their lives. And 294 00:18:16,960 --> 00:18:20,280 Speaker 2: it's that type of transformation that I'd love to see 295 00:18:20,320 --> 00:18:26,359 Speaker 2: us happen in cardiac in breast cancer, in neonatal situations 296 00:18:26,359 --> 00:18:30,200 Speaker 2: where there's hypoxia, that reduction of the burden disease will 297 00:18:30,200 --> 00:18:31,879 Speaker 2: be fundamentally transformational. 298 00:18:32,560 --> 00:18:37,159 Speaker 1: I'm very curious to hear your perspective on communicating the 299 00:18:37,280 --> 00:18:41,160 Speaker 1: role of artificial intelligence to say board members, for example, 300 00:18:41,560 --> 00:18:45,680 Speaker 1: how do you approach the challenge of talking about such 301 00:18:45,840 --> 00:18:51,200 Speaker 1: a nuanced and complex topic in order to get buy 302 00:18:51,280 --> 00:18:53,080 Speaker 1: in from an organizational level. 303 00:18:53,800 --> 00:18:57,639 Speaker 2: That's a great question. Facts are critical, but the story 304 00:18:57,720 --> 00:18:59,879 Speaker 2: is what's very convincing, and you hear me on this 305 00:19:00,080 --> 00:19:04,399 Speaker 2: call walking through very specific patient examples of how it 306 00:19:04,400 --> 00:19:08,560 Speaker 2: can be applied. If you look at technology adoption and 307 00:19:08,680 --> 00:19:11,880 Speaker 2: look at productivity, healthcare is one of the least productive 308 00:19:11,920 --> 00:19:14,960 Speaker 2: fields in the country, if not the world, and the 309 00:19:15,040 --> 00:19:17,919 Speaker 2: reason for that is the adoption of technology. And I 310 00:19:17,960 --> 00:19:22,719 Speaker 2: think we need to approach AI in talking through what 311 00:19:22,760 --> 00:19:24,919 Speaker 2: are the people, what is the process, and then what 312 00:19:25,040 --> 00:19:27,800 Speaker 2: is the technology. I don't think leading with AI is 313 00:19:27,800 --> 00:19:31,760 Speaker 2: a start, Otherwise we're leading and trying to find a problem. 314 00:19:32,000 --> 00:19:34,280 Speaker 2: We need to highlight what is the problem we're trying 315 00:19:34,280 --> 00:19:38,720 Speaker 2: to solve and how can technology help support solving that problem. 316 00:19:38,960 --> 00:19:41,439 Speaker 2: And if we start there and we're clear about the 317 00:19:41,440 --> 00:19:45,000 Speaker 2: communication and we use concrete patient examples, I think it 318 00:19:45,040 --> 00:19:46,720 Speaker 2: makes a lot more sense. 319 00:19:47,000 --> 00:19:51,120 Speaker 1: Absolutely, Peter, I'm curious what role do robotics play in 320 00:19:51,400 --> 00:19:55,240 Speaker 1: your healthcare system at the moment. I remember being fascinated 321 00:19:55,720 --> 00:19:59,600 Speaker 1: with documentaries in the healthcare industry about how robotics were 322 00:20:00,080 --> 00:20:01,359 Speaker 1: informing healthcare. 323 00:20:01,960 --> 00:20:05,120 Speaker 2: So there's two types of robotics. We look at physical 324 00:20:05,200 --> 00:20:08,280 Speaker 2: and we look at virtual. I'll start first with physical. 325 00:20:09,000 --> 00:20:12,399 Speaker 2: We've been able to implement robotics in various areas throughout 326 00:20:12,400 --> 00:20:16,440 Speaker 2: our hospital. We have rooms the size of let's say, 327 00:20:16,480 --> 00:20:20,400 Speaker 2: twenty foot by twenty foot by twenty and there's massive, 328 00:20:20,520 --> 00:20:24,640 Speaker 2: large robots that do all of our pharmacy pill picking, 329 00:20:25,160 --> 00:20:28,280 Speaker 2: individual pills from orders that are placed with a massive 330 00:20:28,359 --> 00:20:31,479 Speaker 2: robot that runs twenty four to seven. And then what 331 00:20:31,520 --> 00:20:34,240 Speaker 2: we call box picking, which is our ointments and our 332 00:20:34,320 --> 00:20:38,800 Speaker 2: creams and non pill medications. Two robots run twenty four 333 00:20:38,800 --> 00:20:42,080 Speaker 2: to seven. We've been using them for about six years 334 00:20:42,119 --> 00:20:45,879 Speaker 2: now and it's been transformational because what it's allowed us 335 00:20:45,960 --> 00:20:49,360 Speaker 2: to do is have some of the technicians that we're 336 00:20:49,480 --> 00:20:53,880 Speaker 2: normally in these large rooms primarily in basements, and now 337 00:20:53,960 --> 00:20:56,399 Speaker 2: move them to the bedside. So now they are the 338 00:20:56,480 --> 00:21:00,600 Speaker 2: teams of embedded care team members that are now interacting 339 00:21:00,600 --> 00:21:02,959 Speaker 2: with the patients because we now have robots that can 340 00:21:03,000 --> 00:21:04,880 Speaker 2: be able to do it, and we now have those 341 00:21:04,880 --> 00:21:09,040 Speaker 2: team members interviewing patients, talking to them about their medications, 342 00:21:09,119 --> 00:21:12,159 Speaker 2: talking to them about their side effects. We've done this 343 00:21:12,280 --> 00:21:16,159 Speaker 2: in other areas. We have physical robots that deliver food 344 00:21:16,400 --> 00:21:20,440 Speaker 2: to patients. They call elevators, they go up and down elevators, 345 00:21:20,600 --> 00:21:25,919 Speaker 2: They deliver linens, they deliver medical devices, and we've found 346 00:21:25,960 --> 00:21:29,040 Speaker 2: them to work very well. There's also an a other 347 00:21:29,200 --> 00:21:32,119 Speaker 2: area which you don't hear talked about as much, but 348 00:21:32,200 --> 00:21:37,400 Speaker 2: there's virtual robots things we call robotic process automation that 349 00:21:37,480 --> 00:21:41,320 Speaker 2: has also served us well. And those are highly repetitive 350 00:21:41,400 --> 00:21:45,520 Speaker 2: tasks that are occurring on a computer. So we have 351 00:21:46,160 --> 00:21:49,879 Speaker 2: thousands and thousands of tasks that occur the same way 352 00:21:49,960 --> 00:21:53,600 Speaker 2: every day, and how do we automate that using a 353 00:21:54,160 --> 00:21:58,399 Speaker 2: virtual robot. Like when a patient gives us an insurance card, 354 00:21:58,800 --> 00:22:00,919 Speaker 2: we have team members need to go out to a 355 00:22:00,960 --> 00:22:03,920 Speaker 2: website and validate that insurance card to make sure it's 356 00:22:03,960 --> 00:22:07,360 Speaker 2: correct and do that process. We can now do that 357 00:22:07,960 --> 00:22:12,000 Speaker 2: with a high throughput, high volume RPA process and do 358 00:22:12,119 --> 00:22:14,760 Speaker 2: it in a virtual way, so once again we can 359 00:22:14,800 --> 00:22:18,119 Speaker 2: get more people to the bedside from a care team perspective. 360 00:22:20,280 --> 00:22:22,720 Speaker 1: Before I could let Peter go, I needed to ask 361 00:22:22,800 --> 00:22:31,160 Speaker 1: him a couple more things. Is there a particular technology 362 00:22:31,200 --> 00:22:35,560 Speaker 1: that really made an incredible first impression on you, whether 363 00:22:36,160 --> 00:22:38,560 Speaker 1: in your profession or in your personal life. 364 00:22:39,240 --> 00:22:41,640 Speaker 2: I have to say, and I don't mean to bring 365 00:22:41,720 --> 00:22:45,920 Speaker 2: up a recent technology, but I can't emphasize enough how 366 00:22:46,080 --> 00:22:53,120 Speaker 2: chat GPT will fundamentally transform education information throughout our world. 367 00:22:53,480 --> 00:22:57,240 Speaker 2: I saw it for the first time, and the method 368 00:22:57,280 --> 00:23:01,200 Speaker 2: by which it's being utilized, the distribution, and the power 369 00:23:01,240 --> 00:23:04,560 Speaker 2: and potential of that technology is going to be fundamentally 370 00:23:04,600 --> 00:23:07,639 Speaker 2: transformative for us over the next ten years. And that 371 00:23:07,800 --> 00:23:11,200 Speaker 2: was probably one of the most impressive things I've seen 372 00:23:11,800 --> 00:23:16,760 Speaker 2: since the advancements that have occurred in early twenty ten 373 00:23:16,800 --> 00:23:17,600 Speaker 2: in other areas. 374 00:23:18,280 --> 00:23:22,080 Speaker 1: What advice would you give to other tech leaders in 375 00:23:22,119 --> 00:23:23,320 Speaker 1: the healthcare space. 376 00:23:24,160 --> 00:23:27,720 Speaker 2: As my prior boss used to mention, it's all about people, 377 00:23:27,760 --> 00:23:30,399 Speaker 2: process and technology, and I think it's some of the 378 00:23:30,440 --> 00:23:34,480 Speaker 2: best advice. It is all about people. The technology works. 379 00:23:34,680 --> 00:23:38,760 Speaker 2: The technology has worked in every industry. It's all about adoption. 380 00:23:39,200 --> 00:23:43,359 Speaker 2: It's all about working with the providers, working with the 381 00:23:43,440 --> 00:23:47,680 Speaker 2: care team members, and working with the patients to drive adoption. 382 00:23:48,119 --> 00:23:51,760 Speaker 2: And that's critical for us as healthcare leaders. And as 383 00:23:51,800 --> 00:23:55,639 Speaker 2: we see that adoption accelerate, we're going to see productivity accelerate. 384 00:23:55,800 --> 00:23:58,560 Speaker 2: We're going to see more patients taken care of, we're 385 00:23:58,600 --> 00:24:01,960 Speaker 2: going to see less mortality, we're going to see better outcomes. 386 00:24:01,960 --> 00:24:04,919 Speaker 2: And I think that is truly the exciting part of 387 00:24:05,000 --> 00:24:07,080 Speaker 2: where we're going to go with the digital transformation. 388 00:24:08,000 --> 00:24:11,439 Speaker 1: Peter, thank you so much for joining the show. I 389 00:24:11,520 --> 00:24:14,520 Speaker 1: really appreciate it. This has been a fantastic conversation. 390 00:24:15,200 --> 00:24:17,879 Speaker 2: Jonathan. I can't thank you enough for having me on today. 391 00:24:23,160 --> 00:24:27,119 Speaker 1: Peter's deep background in medicine and patient care clearly play 392 00:24:27,200 --> 00:24:30,920 Speaker 1: a pivotal role in his leadership strategy and leadership decisions 393 00:24:31,200 --> 00:24:33,520 Speaker 1: take on a new meeting when the outcome of those 394 00:24:33,560 --> 00:24:38,240 Speaker 1: decisions has an undeniably critical impact on patients and caregivers alike. 395 00:24:38,600 --> 00:24:41,480 Speaker 1: I was struck by how advanced technologies that will change 396 00:24:41,480 --> 00:24:45,840 Speaker 1: healthcare are built on the foundation of connectivity. It wasn't 397 00:24:45,840 --> 00:24:49,200 Speaker 1: that long ago that the tools doctors and nurses had 398 00:24:49,200 --> 00:24:53,200 Speaker 1: at their disposal were limited. That healthcare professionals took all 399 00:24:53,240 --> 00:24:55,840 Speaker 1: notes by hand, and those notes had to be entered 400 00:24:55,840 --> 00:24:59,719 Speaker 1: into medical records that weren't always easy to share or access. 401 00:25:00,840 --> 00:25:05,679 Speaker 1: But digitization and connectivity have created opportunities to change all that, 402 00:25:06,240 --> 00:25:09,199 Speaker 1: and the thought of five G enabling high tech medical 403 00:25:09,240 --> 00:25:13,000 Speaker 1: processes is really exciting. Reducing the amount of time spent 404 00:25:13,119 --> 00:25:17,160 Speaker 1: sending large image files across a network can literally save 405 00:25:17,240 --> 00:25:23,560 Speaker 1: a life. Be sure to join us for more episodes 406 00:25:23,600 --> 00:25:26,560 Speaker 1: of The Restless Ones. We'll be talking with more incredible 407 00:25:26,600 --> 00:25:29,920 Speaker 1: leaders about their approach to leveraging technology and how this 408 00:25:30,040 --> 00:25:33,520 Speaker 1: tech creates opportunities even in places we never thought to 409 00:25:33,600 --> 00:25:37,639 Speaker 1: look before. Until next time, I'm Jonathan Strickland, and this 410 00:25:37,840 --> 00:25:39,200 Speaker 1: is The Restless Ones.