1 00:00:00,235 --> 00:00:02,205 - Prepare to dive into the forefront 2 00:00:02,225 --> 00:00:05,525 of healthcare innovation at our 14th annual meeting coming 3 00:00:05,545 --> 00:00:06,645 up on April 8th 4 00:00:06,645 --> 00:00:10,765 through 11th at the Hyatt Regency in Chicago, with thousands 5 00:00:10,765 --> 00:00:13,965 of industry leaders converging over four dynamic days 6 00:00:13,985 --> 00:00:16,805 of discussions on crucial topics from health IT 7 00:00:17,185 --> 00:00:18,685 to executive leadership. 8 00:00:18,995 --> 00:00:21,325 It's where the future of healthcare takes shape. 9 00:00:21,865 --> 00:00:24,085 We can't wait to connect with you in person 10 00:00:24,305 --> 00:00:26,685 and engage in these important conversations. 11 00:00:27,635 --> 00:00:30,005 - This is Laura Dedo with the Becker's Healthcare Podcast. 12 00:00:30,665 --> 00:00:32,125 I'm thrilled today to be joined by Dr. 13 00:00:32,405 --> 00:00:35,965 Nu today, Shey, who is the Chief Medical Information Officer 14 00:00:36,145 --> 00:00:39,605 at, uh, lake Health, as well as the associate CMIO 15 00:00:39,605 --> 00:00:40,765 of university Hospitals. 16 00:00:41,145 --> 00:00:43,525 Dr. She, it's a pleasure to have you on the podcast today. 17 00:00:45,205 --> 00:00:47,755 - Thank you very much, Laura. I'm happy to be here. 18 00:00:47,765 --> 00:00:48,915 Thank you for having me. 19 00:00:50,575 --> 00:00:52,315 - Now, I know we have a lot to talk about, 20 00:00:52,415 --> 00:00:53,675 and you know, I'm definitely excited 21 00:00:53,675 --> 00:00:55,795 to hear more from your perspective about some 22 00:00:55,795 --> 00:00:57,715 of the different things that you're doing at 23 00:00:57,715 --> 00:00:58,755 University Hospitals. 24 00:00:58,775 --> 00:01:00,315 But before we dive into my questions, 25 00:01:00,415 --> 00:01:01,515 can you tell me a little bit more 26 00:01:01,515 --> 00:01:02,755 about yourself and your background? 27 00:01:05,305 --> 00:01:07,605 - Yes, of course. Thank you again for having me. 28 00:01:07,745 --> 00:01:09,445 So, my name is Tina . 29 00:01:09,475 --> 00:01:12,805 Just like you said, I'm a pediatrician by training. 30 00:01:13,305 --> 00:01:14,925 Um, uh, 31 00:01:14,925 --> 00:01:18,045 several years ago I took a break from clinical practice. 32 00:01:18,285 --> 00:01:20,365 I stayed home to raise my kids. 33 00:01:21,265 --> 00:01:24,005 Um, but in 2011, I decided I was going 34 00:01:24,065 --> 00:01:26,525 to give clinical informatics a try. 35 00:01:27,325 --> 00:01:30,305 So instead of going back to clinical practice, uh, I went 36 00:01:30,325 --> 00:01:31,865 for formal training, uh, 37 00:01:31,965 --> 00:01:34,145 and became board certified in the field. 38 00:01:35,145 --> 00:01:38,645 Um, after that, um, for several years, I, I worked 39 00:01:38,665 --> 00:01:42,125 as an executive physician at, at Sunner Corporation, 40 00:01:42,175 --> 00:01:43,325 which is now Oracle. 41 00:01:44,635 --> 00:01:48,095 And at that time I traveled the United States, um, 42 00:01:48,095 --> 00:01:50,335 helping set up clinical information systems 43 00:01:51,275 --> 00:01:53,535 in various hospitals, health systems, 44 00:01:54,005 --> 00:01:56,935 including standalone children's hospitals. 45 00:01:57,515 --> 00:02:01,695 But I, I got passionate about revenue cycle. 46 00:02:02,835 --> 00:02:05,375 So while I was at sunner, I decided 47 00:02:05,645 --> 00:02:07,775 that revenue cycle was a very 48 00:02:08,615 --> 00:02:09,975 interesting aspect of healthcare. 49 00:02:10,195 --> 00:02:12,775 So I got formally trained 50 00:02:12,995 --> 00:02:16,135 and certified by HFMA, uh, 51 00:02:16,135 --> 00:02:18,935 that's the Healthcare Financial Management Association. 52 00:02:19,435 --> 00:02:22,975 And since then I have been in both clinical informatics 53 00:02:22,975 --> 00:02:24,055 and revenue cycle. 54 00:02:24,835 --> 00:02:29,215 Um, as I've practiced, uh, in 2019, 55 00:02:29,575 --> 00:02:33,615 I decided that I wanted to take a less, um, 56 00:02:34,755 --> 00:02:38,085 traveling role, if I can call it that. 57 00:02:38,185 --> 00:02:40,205 So I decided to take up a position 58 00:02:40,225 --> 00:02:42,885 as Chief Medical Information Officer 59 00:02:43,145 --> 00:02:44,205 and Vice President 60 00:02:44,205 --> 00:02:47,245 of Clinical Informatics at Lake Health System in Ohio. 61 00:02:48,305 --> 00:02:49,385 I was there for a little bit. 62 00:02:49,815 --> 00:02:52,025 Then, uh, the health system merged 63 00:02:52,295 --> 00:02:56,745 with University Hospital's health system in Cleveland, Ohio. 64 00:02:57,565 --> 00:03:01,695 So from 2021, uh, I continued 65 00:03:01,695 --> 00:03:05,015 to be the CMIO at, at Lake Health, um, 66 00:03:05,595 --> 00:03:10,455 but also became the associate CMIO for university hospitals, 67 00:03:10,455 --> 00:03:12,215 12 community hospitals. 68 00:03:12,855 --> 00:03:15,815 I also have responsibility for, uh, several 69 00:03:16,075 --> 00:03:19,575 of the academic centers service line at, uh, 70 00:03:20,355 --> 00:03:24,595 and, um, also have responsibilities for uhs, um, 71 00:03:24,985 --> 00:03:27,315 over 5,000 independent physicians. 72 00:03:28,665 --> 00:03:31,355 Last, but not the least, what I do, um, uh, 73 00:03:31,555 --> 00:03:33,995 I always make sure I have rev cycle in my 74 00:03:34,025 --> 00:03:35,235 portfolio somewhere. 75 00:03:35,415 --> 00:03:39,835 So , I continue to, um, help out with Rev Cycle. 76 00:03:40,515 --> 00:03:44,075 Recently, uh, I became a physician leader, um, in, 77 00:03:44,215 --> 00:03:47,035 in the health systems quality payment program. 78 00:03:48,015 --> 00:03:51,865 So I tried to keep busy, and that's a bit about me. 79 00:03:54,305 --> 00:03:56,835 - Well, that's a lot. I mean, amazing to hear, you know, 80 00:03:56,835 --> 00:03:58,555 just kind of all the areas of healthcare. 81 00:03:58,555 --> 00:04:01,875 You've touched from obviously your clinical care background 82 00:04:01,875 --> 00:04:04,395 and being a pediatrician right through, you know, 83 00:04:04,495 --> 00:04:07,355 the informatics, uh, background working at Cerner, 84 00:04:07,375 --> 00:04:09,075 and then getting a passion 85 00:04:09,175 --> 00:04:10,995 for revenue cycle, which is amazing. 86 00:04:11,195 --> 00:04:13,915 I mean, what an important role within healthcare 87 00:04:14,095 --> 00:04:15,595 to really sustain organizations. 88 00:04:16,135 --> 00:04:18,075 Um, so it, it is really cool to see all 89 00:04:18,075 --> 00:04:19,755 of those different areas that you've been able 90 00:04:19,755 --> 00:04:22,835 to bundle together and bring into now, um, your role 91 00:04:22,835 --> 00:04:25,075 with Lake Health and then university hospitals too. 92 00:04:25,315 --> 00:04:26,475 I think that's really cool to see. 93 00:04:27,215 --> 00:04:30,235 And along those lines, you know, what is one change 94 00:04:30,235 --> 00:04:31,675 that you've made in the last year 95 00:04:31,675 --> 00:04:33,475 or so that's had some really great results? 96 00:04:35,945 --> 00:04:37,515 - Well, thank you for that compliment. 97 00:04:37,595 --> 00:04:38,995 I have to tell you, I have a lot 98 00:04:38,995 --> 00:04:41,915 of people helping me get all those things done, 99 00:04:42,535 --> 00:04:46,145 but, um, I think what I'm most proud of, 100 00:04:46,175 --> 00:04:50,585 because it, it just came off so well, um, was that, um, 101 00:04:50,915 --> 00:04:54,345 university Hospitals decided to implement another 102 00:04:54,875 --> 00:04:58,145 electronic medical record in this case, it was epic. 103 00:04:58,985 --> 00:05:02,465 I had a background in center and several other EMRs, 104 00:05:02,605 --> 00:05:06,365 but not Epic, but University hospitals decided 105 00:05:06,395 --> 00:05:08,045 that was the direction we were going, 106 00:05:08,225 --> 00:05:09,965 and what a great decision that was. 107 00:05:10,505 --> 00:05:14,325 Um, in 2023, we went live with Epic. 108 00:05:14,865 --> 00:05:19,525 It, it wasn't two, um, rollout two ways, 109 00:05:19,635 --> 00:05:22,525 like we would like to call it one in March 110 00:05:22,705 --> 00:05:25,445 and then in October, so about six months ago, we, 111 00:05:25,505 --> 00:05:28,445 we rolled out the whole health system and, 112 00:05:28,465 --> 00:05:31,045 and in that program it turned out so well, 113 00:05:31,065 --> 00:05:34,525 and I've been doing this for now close to 12 years 114 00:05:35,105 --> 00:05:36,565 across the United States. 115 00:05:37,045 --> 00:05:39,085 I have to say, that's the best rollout 116 00:05:39,185 --> 00:05:41,645 or implementation I've ever been involved with. 117 00:05:42,185 --> 00:05:45,325 Uh, we had such great leaders get involved 118 00:05:45,895 --> 00:05:47,645 operations, uh, up to the top. 119 00:05:47,645 --> 00:05:49,525 Most leadership got involved. 120 00:05:50,105 --> 00:05:54,645 Um, we had, um, of course UHIT, um, front 121 00:05:54,705 --> 00:05:58,005 and center, so I was part of the leadership team that got 122 00:05:58,005 --> 00:05:59,365 that to happen. 123 00:05:59,825 --> 00:06:03,165 And, um, we had an initial budget of, um, 124 00:06:04,105 --> 00:06:05,735 about $600 million. 125 00:06:05,915 --> 00:06:10,095 We came under, came in under budget with about $200 million. 126 00:06:10,475 --> 00:06:11,735 So to me, that's the first thing. 127 00:06:11,735 --> 00:06:14,135 It's like, 'cause I'm always looking at the revenue, 128 00:06:14,475 --> 00:06:18,135 making sure that whatever we're doing, you know, 129 00:06:18,195 --> 00:06:20,415 we do not upset the apple cart 130 00:06:21,035 --> 00:06:24,215 and then, you know, just get everything well done 131 00:06:24,315 --> 00:06:27,895 and then we, we end up, um, losing a bunch of money. 132 00:06:28,155 --> 00:06:32,615 No, this went out, went on and it's still going on. 133 00:06:32,635 --> 00:06:34,695 It went off very well. 134 00:06:35,515 --> 00:06:38,015 But I guess most importantly was the ability 135 00:06:38,155 --> 00:06:40,975 to bring our clinicians and physicians along. 136 00:06:42,505 --> 00:06:45,315 They are so happy to be on that EMR. 137 00:06:45,895 --> 00:06:48,675 We had about 97% of them trained, 138 00:06:48,765 --> 00:06:51,595 which I have never been able to achieve elsewhere, . 139 00:06:51,595 --> 00:06:54,515 So that was to me, just amazing. 140 00:06:55,295 --> 00:06:57,115 Our team was just amazing. 141 00:06:57,655 --> 00:07:02,635 Um, I was, um, the CMIO at, uh, lake, 142 00:07:02,655 --> 00:07:05,715 we now call it, uh, lake Health at that time. 143 00:07:06,415 --> 00:07:09,795 And we were actively into integrating at 144 00:07:09,795 --> 00:07:11,675 that time due to the merger. 145 00:07:12,375 --> 00:07:15,715 And so we were able to both integrate and merge 146 00:07:15,855 --> 00:07:19,995 and yet roll out Lake Health Medical Centers, the three 147 00:07:19,995 --> 00:07:23,515 of them, roll them out onto Epic as well. 148 00:07:23,645 --> 00:07:25,395 Everything went seamlessly. 149 00:07:25,815 --> 00:07:27,995 Um, we ended up, um, with Nine Stars. 150 00:07:28,215 --> 00:07:31,675 Um, epic gives out the stars for those who, um, 151 00:07:32,025 --> 00:07:33,875 implement their EMR. 152 00:07:33,905 --> 00:07:37,955 Well, so we're among the top 85% of the health systems 153 00:07:38,065 --> 00:07:40,515 that use Epic in the us. 154 00:07:41,415 --> 00:07:44,275 We, this program is the best I've ever done this rollout. 155 00:07:44,815 --> 00:07:46,915 So if you ask me what, 156 00:07:47,145 --> 00:07:49,395 what change did we make in the last year 157 00:07:49,395 --> 00:07:50,555 that had great results, 158 00:07:51,225 --> 00:07:55,235 rolling out Epic at university hospitals, had great results. 159 00:07:59,325 --> 00:08:00,535 - Well, that's amazing to hear. 160 00:08:00,595 --> 00:08:02,375 And you know, really cool to, to think 161 00:08:02,375 --> 00:08:03,935 through those specifics that you mentioned. 162 00:08:04,015 --> 00:08:05,335 I mean, bringing on 90%, 163 00:08:05,475 --> 00:08:07,895 or excuse me, 97% of the clinicians trained 164 00:08:07,895 --> 00:08:10,455 and then, you know, coming in under budget. 165 00:08:10,675 --> 00:08:13,135 Um, I don't know any other system that I've heard of 166 00:08:13,135 --> 00:08:15,135 that really can report the same. 167 00:08:15,275 --> 00:08:17,575 And so I think it's really cool, obviously 168 00:08:17,575 --> 00:08:19,375 that you had the technology platform 169 00:08:19,595 --> 00:08:20,615 and the ability to do that. 170 00:08:20,615 --> 00:08:23,655 But it seems like, you know, as well, having that, um, 171 00:08:24,035 --> 00:08:26,935 the leadership just involved, as you mentioned, um, 172 00:08:26,935 --> 00:08:30,615 made a big difference and really was able to, uh, produce 173 00:08:31,155 --> 00:08:32,855 the great results from the implementation. 174 00:08:32,855 --> 00:08:35,415 Because I know it's certainly not an easy task 175 00:08:35,555 --> 00:08:37,615 to bring everyone onto it 176 00:08:37,635 --> 00:08:41,055 and make a transition into one singular, um, EHR platform. 177 00:08:42,975 --> 00:08:44,315 - Yes, absolutely. Right. 178 00:08:44,495 --> 00:08:48,235 Our leadership there incredible in many places. 179 00:08:49,005 --> 00:08:52,355 Operations at University Hospital, I have to say. 180 00:08:52,545 --> 00:08:56,065 Very incredible team. They did well, 181 00:08:56,175 --> 00:08:57,175 - Amazing. 182 00:08:57,175 --> 00:08:59,305 Well, fantastic. And you know what, now 183 00:08:59,305 --> 00:09:01,625 that you're on the other side of that EHR transition, 184 00:09:01,935 --> 00:09:03,145 what are some of the top trends 185 00:09:03,145 --> 00:09:04,305 that you're following in healthcare? 186 00:09:04,375 --> 00:09:06,345 What do you really see as being top 187 00:09:06,345 --> 00:09:08,265 of mind in being potentially impactful 188 00:09:08,405 --> 00:09:10,785 for the organization going forward? So, 189 00:09:11,685 --> 00:09:15,225 - Um, in 2019, I got involved in ai, 190 00:09:15,585 --> 00:09:17,185 artificial intelligence, uh, 191 00:09:17,185 --> 00:09:19,425 which we now call generative ai. 192 00:09:20,385 --> 00:09:25,185 I was, um, since, uh, I, I was in revenue cycle 193 00:09:25,445 --> 00:09:28,185 and revenue integrity at that point in time. 194 00:09:28,345 --> 00:09:32,545 I was looking at just clinician documentation, 195 00:09:33,465 --> 00:09:36,425 specifically physician documentation, thinking about 196 00:09:36,685 --> 00:09:40,145 how could we improve, uh, uh, our providers 197 00:09:40,215 --> 00:09:43,505 that documentation without increasing, um, 198 00:09:43,645 --> 00:09:44,745 the burden on them. 199 00:09:45,245 --> 00:09:46,745 So I got involved in that, 200 00:09:47,165 --> 00:09:50,625 and we were looking at improving our case mix index 201 00:09:51,565 --> 00:09:53,825 and, um, uh, we deployed 202 00:09:53,855 --> 00:09:56,985 what we call computer assisted physician documentation. 203 00:09:57,295 --> 00:09:58,985 That was back in 2019. 204 00:09:59,685 --> 00:10:02,025 It, it turned out so well, we were able 205 00:10:02,025 --> 00:10:03,625 to move our case mix index 206 00:10:04,345 --> 00:10:07,865 aggressively without additional burden on the physicians. 207 00:10:08,685 --> 00:10:12,545 Now that we're on the other side of, um, our epic rollout 208 00:10:12,885 --> 00:10:16,145 and installation, we are now deploying this. 209 00:10:16,165 --> 00:10:18,585 So I did that when I was CMIO at Lake Health. 210 00:10:19,005 --> 00:10:22,145 Um, uh, have decided to go forward with this 211 00:10:22,765 --> 00:10:24,665 and contracted with a third party, 212 00:10:24,845 --> 00:10:28,505 and now we're deploying it across all the hospitals, uh, 213 00:10:28,505 --> 00:10:31,785 the complete community hospitals I have responsibility for, 214 00:10:32,045 --> 00:10:33,745 and also the academic center. 215 00:10:34,165 --> 00:10:36,265 So I am very excited about this 216 00:10:36,265 --> 00:10:39,305 because I've already done this, um, uh, 217 00:10:39,325 --> 00:10:40,505 in the last few years. 218 00:10:40,885 --> 00:10:42,585 And it has turned out real well. 219 00:10:43,015 --> 00:10:45,825 It's really helped, um, uh, 220 00:10:45,855 --> 00:10:48,465 with quality measures, helps with revenue. 221 00:10:49,165 --> 00:10:50,705 It, it helps with safety, 222 00:10:51,365 --> 00:10:55,025 it helps in very many areas, um, of healthcare. 223 00:10:55,845 --> 00:11:00,105 So that's what I am gonna be focusing my attention on other 224 00:11:00,105 --> 00:11:02,265 than stabilizing our clinicians 225 00:11:02,265 --> 00:11:05,225 and physicians on this new EHR. 226 00:11:05,805 --> 00:11:09,225 Uh, but, uh, generative AI is a, is a passion of mine, 227 00:11:09,245 --> 00:11:12,705 and I'm about to really get excited, uh, 228 00:11:12,735 --> 00:11:14,545 deploying this across the health system. 229 00:11:17,045 --> 00:11:18,265 - That's fantastic to hear. 230 00:11:18,365 --> 00:11:21,025 And really, you know, a cool use case for AI is something 231 00:11:21,025 --> 00:11:23,825 that I know is evolving quickly within the healthcare space. 232 00:11:24,165 --> 00:11:27,785 Uh, um, so that's really, um, interesting to hear 233 00:11:27,805 --> 00:11:29,585 and definitely exciting to know. 234 00:11:29,695 --> 00:11:31,625 I'll be looking forward to catching up 235 00:11:31,625 --> 00:11:34,985 with you at some point to learn how everything's going now. 236 00:11:35,155 --> 00:11:36,745 Thank you. Before we wrap up here, 237 00:11:37,045 --> 00:11:39,145 how are you thinking about growth in the next 12 238 00:11:39,145 --> 00:11:40,185 to 24 months or so? 239 00:11:41,055 --> 00:11:42,055 Well, 240 00:11:43,275 --> 00:11:46,495 - So thinking about growth, those areas I mentioned, 241 00:11:47,065 --> 00:11:49,855 especially generative AI would be my focus. 242 00:11:50,255 --> 00:11:52,215 I would be looking to see. 243 00:11:52,395 --> 00:11:56,325 So when I first got into ai, um, 244 00:11:56,855 --> 00:11:59,925 especially in clinical documentation, um, 245 00:12:00,305 --> 00:12:01,765 it was very narrow. 246 00:12:02,195 --> 00:12:06,125 That was five years ago. Not many health systems were on it. 247 00:12:06,285 --> 00:12:09,205 I certainly hadn't used it until I started working in it, 248 00:12:09,505 --> 00:12:14,445 um, with, uh, lake, uh, five years ago Now, like, 249 00:12:14,465 --> 00:12:18,205 you know, AI has completely exploded . 250 00:12:18,665 --> 00:12:22,885 And, um, I'm, I'm looking forward to seeing us grow in this, 251 00:12:23,415 --> 00:12:26,965 especially to see how it lead you with, um, clinician 252 00:12:27,505 --> 00:12:29,205 burden, physician burnout. 253 00:12:29,905 --> 00:12:32,125 Uh, I want us to grow in that area. 254 00:12:32,305 --> 00:12:34,165 So as much as it's up to me 255 00:12:34,265 --> 00:12:37,965 and I can help our teams, our clinical documentation, 256 00:12:37,995 --> 00:12:41,965 improvement teams, our revenue cycle, I'll be looking 257 00:12:42,065 --> 00:12:43,885 to see us grow in that area. 258 00:12:44,265 --> 00:12:47,045 I'm looking to see us also grow in the area of revenue. 259 00:12:47,825 --> 00:12:50,965 Um, like, you know, that's a passion of mine. 260 00:12:51,425 --> 00:12:53,725 And if you can help, um, physicians 261 00:12:53,825 --> 00:12:55,965 and other clinicians understand 262 00:12:56,785 --> 00:13:01,285 how their behavior a affects the revenue coming into the 263 00:13:01,285 --> 00:13:03,205 organization, you would've done well. 264 00:13:03,745 --> 00:13:07,605 And yet do it in a way that they're not burdened by it. 265 00:13:08,045 --> 00:13:09,525 'cause reducing physician 266 00:13:09,545 --> 00:13:12,885 and clinician burden is a goal of mine. 267 00:13:13,105 --> 00:13:16,845 Um, there's no point, um, of taking care of patients 268 00:13:16,905 --> 00:13:20,885 and then those who do it just feel totally burnt out. 269 00:13:21,225 --> 00:13:23,365 So I'm looking to grow in that area. 270 00:13:23,495 --> 00:13:27,805 Personally, I'm looking to grow in just my understanding of 271 00:13:27,905 --> 00:13:32,485 how all of this comes together, all the ai, 272 00:13:32,615 --> 00:13:35,925 generative ai, um, EHR, 273 00:13:36,035 --> 00:13:38,285 just the integration of all those things. 274 00:13:38,745 --> 00:13:41,565 And I'm looking to see how I can help, uh, 275 00:13:41,565 --> 00:13:42,845 the community hospitals. 276 00:13:42,965 --> 00:13:45,245 I, I am responsible for 277 00:13:45,905 --> 00:13:48,085 how they grow operationally while, 278 00:13:48,175 --> 00:13:51,365 while they use our analytics, which now we can generate. 279 00:13:52,105 --> 00:13:55,125 Uh, I'm very excited about the analytics we are able 280 00:13:55,125 --> 00:13:57,965 to bring in now and, um, all the data 281 00:13:57,985 --> 00:14:02,245 and dashboard to see how operationally we can help the, 282 00:14:02,825 --> 00:14:04,325 um, health system grow. 283 00:14:04,745 --> 00:14:06,245 That's where I'm focusing on, 284 00:14:06,425 --> 00:14:08,735 and I'm looking forward to this, 285 00:14:09,155 --> 00:14:10,895 to this next couple of years. 286 00:14:13,035 --> 00:14:14,095 - That's amazing to hear. 287 00:14:14,095 --> 00:14:17,535 And you know what fun it'll be to really lean in on the AI 288 00:14:17,535 --> 00:14:20,895 and generative AI space and see how things evolve. 289 00:14:22,275 --> 00:14:23,655 Dr. Che, thank you so much 290 00:14:23,655 --> 00:14:25,055 for joining us on the podcast today. 291 00:14:25,055 --> 00:14:26,815 This has been such a fun conversation, 292 00:14:26,835 --> 00:14:28,735 and I look forward to connecting with you again soon. 293 00:14:30,265 --> 00:14:32,415 - Thank you. Thank you so much, Laura, for Hi, 294 00:14:32,415 --> 00:14:33,415 having me here. 295 00:14:33,565 --> 00:14:36,055 It's, it's been real fun talking with you, . 296 00:14:36,235 --> 00:14:38,575 You touched on the areas of my passion, so 297 00:14:39,155 --> 00:14:40,655 it was no hardship at all. 298 00:14:40,745 --> 00:14:41,695 Thank you, .