1 00:00:00,120 --> 00:00:02,840 Speaker 1: Hey everyone, it's Robert and Joe here. Today we've got 2 00:00:02,840 --> 00:00:04,720 Speaker 1: something a little bit different to share with you. It 3 00:00:04,840 --> 00:00:08,000 Speaker 1: is a new season of the Smart Talks with IBM 4 00:00:08,119 --> 00:00:09,119 Speaker 1: podcast series. 5 00:00:09,600 --> 00:00:11,680 Speaker 2: Today we are witnessed to one of those rare moments 6 00:00:11,680 --> 00:00:14,360 Speaker 2: in history, the rise of an innovative technology with the 7 00:00:14,360 --> 00:00:18,680 Speaker 2: potential to radically transform business and society forever. The technology, 8 00:00:18,760 --> 00:00:22,200 Speaker 2: of course, is artificial intelligence, and it's the central focus 9 00:00:22,239 --> 00:00:24,800 Speaker 2: for this new season of Smart Talks with IBM. 10 00:00:25,320 --> 00:00:28,400 Speaker 1: Join hosts from your favorite Pushkin podcasts as they talk 11 00:00:28,480 --> 00:00:31,640 Speaker 1: with industry experts and leaders to explore how businesses can 12 00:00:31,680 --> 00:00:35,360 Speaker 1: integrate AI into their workflows and help drive real change 13 00:00:35,400 --> 00:00:38,160 Speaker 1: in this new era of AI. And of course, host 14 00:00:38,280 --> 00:00:40,440 Speaker 1: Malcolm Gladwell will be there to guide you through the 15 00:00:40,479 --> 00:00:42,640 Speaker 1: season and throw in his two cents as well. 16 00:00:43,120 --> 00:00:46,120 Speaker 2: Look out for new episodes of Smart Talks with IBM 17 00:00:46,400 --> 00:00:49,519 Speaker 2: every other week on the iHeartRadio app, Apple Podcasts, or 18 00:00:49,560 --> 00:00:53,360 Speaker 2: wherever you get your podcasts, and learn more at IBM 19 00:00:53,479 --> 00:00:55,480 Speaker 2: dot com slash smart Talks. 20 00:00:58,040 --> 00:01:01,800 Speaker 3: Hello, Hello, Welcome to Smart Talks IBM, a podcast from 21 00:01:01,800 --> 00:01:07,320 Speaker 3: Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glamwell. This season 22 00:01:07,360 --> 00:01:11,640 Speaker 3: we're continuing our conversations with new creators visionaries who are 23 00:01:11,680 --> 00:01:15,840 Speaker 3: creatively applying technology in business to drive change, but with 24 00:01:15,920 --> 00:01:19,600 Speaker 3: a focus on the transformative power of artificial intelligence and 25 00:01:19,640 --> 00:01:22,880 Speaker 3: what it means to leverage AI as a game changing 26 00:01:22,959 --> 00:01:27,360 Speaker 3: multiplier for your business. Today's episode is a case study 27 00:01:27,360 --> 00:01:31,160 Speaker 3: of sorts as AI expands its reach to different industries. 28 00:01:31,520 --> 00:01:35,640 Speaker 3: The healthcare profession is on the forefront of adoption. The 29 00:01:35,640 --> 00:01:38,880 Speaker 3: integration of AI into the healthcare industry is fostering a 30 00:01:38,920 --> 00:01:43,479 Speaker 3: more inclusive and efficient healthcare system. Pushkin's very own doctor 31 00:01:43,520 --> 00:01:47,680 Speaker 3: Lori Santos, host of the Happiness Lab podcast, sat down 32 00:01:47,720 --> 00:01:50,480 Speaker 3: for a conversation with Alice Creeshy. Alice is the co 33 00:01:50,560 --> 00:01:56,520 Speaker 3: founder and CEO of fertility care provider ovum Health. Founded 34 00:01:56,560 --> 00:01:59,919 Speaker 3: in twenty twenty three. Ovum Health consists of a multi 35 00:01:59,880 --> 00:02:05,880 Speaker 3: specialty group of board certified experts, physicians, nutritionists, and patient 36 00:02:05,960 --> 00:02:10,000 Speaker 3: advocates who are passionate about helping moms to be with 37 00:02:10,120 --> 00:02:15,560 Speaker 3: pre pregnancy, pregnancy and postpartum health care. As an online platform, 38 00:02:15,680 --> 00:02:19,200 Speaker 3: they are able to diagnose, treat, and manage conditions from 39 00:02:19,240 --> 00:02:23,760 Speaker 3: the comfort of patients homes. Alice became an advocate for 40 00:02:23,840 --> 00:02:27,560 Speaker 3: accessible family planning when she was diagnosed with breast cancer 41 00:02:27,840 --> 00:02:32,360 Speaker 3: at age thirty one. As a healthcare activist, author, cancer 42 00:02:32,400 --> 00:02:36,760 Speaker 3: and infertility survivor, she has dedicated her life to improving 43 00:02:36,800 --> 00:02:43,920 Speaker 3: access to exceptional health care, regardless of income, insurance, religion, race, identity, 44 00:02:44,280 --> 00:02:48,560 Speaker 3: or location. Alice and Laurie discuss the barriers to healthcare access, 45 00:02:48,960 --> 00:02:51,400 Speaker 3: the ways in which AI can be leveraged to expand 46 00:02:51,440 --> 00:02:54,519 Speaker 3: the reach of health care providers, and how ovum healths 47 00:02:54,560 --> 00:02:58,000 Speaker 3: partnership with IBM and the use of the IBM Watson 48 00:02:58,200 --> 00:03:04,120 Speaker 3: X Assistant platform has been enhancing the patient experience. Just 49 00:03:04,200 --> 00:03:07,160 Speaker 3: a heads up before we dive in. This conversation touches 50 00:03:07,240 --> 00:03:12,240 Speaker 3: on sensitive topics such as paternal health and fertility. Please 51 00:03:12,280 --> 00:03:16,040 Speaker 3: take care when listening. Okay, let's get to the conversation. 52 00:03:18,320 --> 00:03:20,639 Speaker 4: Alice, thank you so much for joining me. To start off, 53 00:03:20,639 --> 00:03:22,160 Speaker 4: tell me a little bit about your current role. 54 00:03:22,639 --> 00:03:24,720 Speaker 5: Hi, Laurie, thank you so much for having me today. 55 00:03:24,919 --> 00:03:27,480 Speaker 5: I'm thrilled to be here. My current role is as 56 00:03:27,520 --> 00:03:30,520 Speaker 5: co founder and CEO of ovum Health. We are a 57 00:03:30,560 --> 00:03:34,800 Speaker 5: network of fertility telehealth clinics in the United States, and 58 00:03:34,920 --> 00:03:37,840 Speaker 5: really my job is to make sure that all the 59 00:03:37,880 --> 00:03:40,600 Speaker 5: people that we want to serve know that we exist, 60 00:03:41,160 --> 00:03:44,320 Speaker 5: and to make sure that I create a sustainable company 61 00:03:44,840 --> 00:03:46,840 Speaker 5: so that all the good work that my clinicians are 62 00:03:46,840 --> 00:03:50,360 Speaker 5: doing really reach the millions, truly millions of people who 63 00:03:50,400 --> 00:03:50,840 Speaker 5: need us. 64 00:03:52,000 --> 00:03:54,200 Speaker 4: So your fertility journey began at thirty one when you 65 00:03:54,200 --> 00:03:57,200 Speaker 4: were diagnosed with cancer. That must have been awful. Tell 66 00:03:57,240 --> 00:03:59,200 Speaker 4: me about the days and weeks surrounding that news and 67 00:03:59,240 --> 00:03:59,880 Speaker 4: what was your life like. 68 00:04:00,960 --> 00:04:03,119 Speaker 5: Yes, the way that I've always described it is that 69 00:04:03,200 --> 00:04:06,080 Speaker 5: the news almost hit the pause button on my life. 70 00:04:07,000 --> 00:04:11,480 Speaker 5: And the extraordinary thing was that it became my full 71 00:04:11,480 --> 00:04:16,279 Speaker 5: time job just managing all the diagnostic steps involved. So truly, 72 00:04:16,360 --> 00:04:19,920 Speaker 5: for the first thirty days, I was in a vortex 73 00:04:20,360 --> 00:04:23,440 Speaker 5: of all things cancer related, and I was one of 74 00:04:23,480 --> 00:04:26,160 Speaker 5: the lucky ones. And that a friend asked me, are 75 00:04:26,200 --> 00:04:28,560 Speaker 5: you going to freeze your eggs? I would never have 76 00:04:28,600 --> 00:04:30,760 Speaker 5: even thought to ask about it had she not brought 77 00:04:30,760 --> 00:04:35,000 Speaker 5: it up. I went into the fertility clinic, and really 78 00:04:35,040 --> 00:04:38,440 Speaker 5: what was extraordinary is that the day before my appointment 79 00:04:38,480 --> 00:04:41,720 Speaker 5: at the physical clinic, I had a telephone console. This 80 00:04:41,760 --> 00:04:45,480 Speaker 5: is before the term telehealth or telemedicine was even a thing. Okay, 81 00:04:45,480 --> 00:04:48,520 Speaker 5: because it was so many years ago. She called my phone. 82 00:04:48,560 --> 00:04:49,040 Speaker 6: There was no. 83 00:04:49,080 --> 00:04:53,240 Speaker 5: Video conferencing even invented yet. So it was five pm 84 00:04:53,279 --> 00:04:56,360 Speaker 5: on a Tuesday, and it was already day two of 85 00:04:56,400 --> 00:05:00,119 Speaker 5: my cycle, and she said to me, Alice, if you're 86 00:05:00,160 --> 00:05:02,000 Speaker 5: going to do this, you have to start tomorrow morning 87 00:05:02,040 --> 00:05:06,640 Speaker 5: at seven am. So I had less than twenty four 88 00:05:06,680 --> 00:05:09,840 Speaker 5: hours to make the biggest decision of my life. And 89 00:05:09,960 --> 00:05:13,440 Speaker 5: at the time, I had a boyfriend who was working 90 00:05:13,480 --> 00:05:16,320 Speaker 5: in the front bedroom of my home. Okay, I walk 91 00:05:16,440 --> 00:05:19,919 Speaker 5: into that room and say, okay, I'm all excited. We 92 00:05:20,040 --> 00:05:22,479 Speaker 5: have to freeze embryos. And he looked at me and 93 00:05:22,480 --> 00:05:26,159 Speaker 5: he goes, We're not going to do that. And I said, 94 00:05:26,160 --> 00:05:27,159 Speaker 5: what do you mean, We're not going to do that? 95 00:05:27,160 --> 00:05:29,039 Speaker 5: He said, no, I'm not going to do that with you. 96 00:05:29,640 --> 00:05:31,720 Speaker 5: I said, why wouldn't you do that with me? And 97 00:05:31,760 --> 00:05:33,880 Speaker 5: he told me then that he didn't think we had 98 00:05:33,880 --> 00:05:40,440 Speaker 5: a future together. And in that moment, I was on 99 00:05:40,480 --> 00:05:43,279 Speaker 5: my own. So when I walked into the Fergility clinic 100 00:05:43,360 --> 00:05:47,040 Speaker 5: the next morning, they handed me a catalog of sperm donors. 101 00:05:47,480 --> 00:05:48,440 Speaker 6: So can you imagine. 102 00:05:48,440 --> 00:05:51,680 Speaker 5: Okay, I'm already dealing with cancer, completely overwhelmed, and I 103 00:05:51,720 --> 00:05:54,960 Speaker 5: get handed a catalog of sperm donors and it was 104 00:05:55,000 --> 00:05:58,440 Speaker 5: all these statistics, so it looked like I was picking 105 00:05:58,520 --> 00:06:01,040 Speaker 5: a basketball team and like, who do I think is 106 00:06:01,080 --> 00:06:04,359 Speaker 5: going to be MVP this year? And I had a 107 00:06:04,360 --> 00:06:06,240 Speaker 5: friend with me at the appointment who said, no, I 108 00:06:06,240 --> 00:06:07,599 Speaker 5: think this is going to be so much fun, and 109 00:06:07,600 --> 00:06:08,800 Speaker 5: I handed the catalog to her and I. 110 00:06:08,760 --> 00:06:09,440 Speaker 6: Was like, great, you pick. 111 00:06:10,080 --> 00:06:13,320 Speaker 5: So part of the journey was such a massive learning 112 00:06:13,360 --> 00:06:18,039 Speaker 5: curve so fast. But going through fertility preservation helped me 113 00:06:18,040 --> 00:06:22,000 Speaker 5: focus on life after cancer. So I always fundamentally deeply 114 00:06:22,040 --> 00:06:24,520 Speaker 5: believed I'm going to get through this cancer, but I 115 00:06:24,560 --> 00:06:28,520 Speaker 5: also knew I wanted to live the life I imagined afterwards, 116 00:06:28,960 --> 00:06:31,800 Speaker 5: and that whole experience started that journey what is life 117 00:06:31,800 --> 00:06:34,560 Speaker 5: going to look like after I get through all this trauma? 118 00:06:35,480 --> 00:06:37,120 Speaker 6: But for me, I felt. 119 00:06:36,839 --> 00:06:40,680 Speaker 5: The fertility preservation experience was incredibly life affirming. 120 00:06:41,279 --> 00:06:41,520 Speaker 6: You know. 121 00:06:41,640 --> 00:06:44,320 Speaker 5: I loved the self injections because it felt like I 122 00:06:44,360 --> 00:06:47,960 Speaker 5: finally was doing something for my life rather than having 123 00:06:48,120 --> 00:06:50,680 Speaker 5: the medical community do something to me. 124 00:06:51,800 --> 00:06:53,640 Speaker 4: And so talk about how that experience led you to 125 00:06:53,720 --> 00:06:56,479 Speaker 4: the founding of Fertile Action and med Answers. 126 00:06:56,720 --> 00:06:59,440 Speaker 5: Well, I literally walked out of the fertility clinic that 127 00:06:59,520 --> 00:07:03,520 Speaker 5: same day, the business manager had handed me kind of 128 00:07:03,560 --> 00:07:06,080 Speaker 5: like pushed a piece of paper across her desk to 129 00:07:06,120 --> 00:07:08,520 Speaker 5: show me how expensive the treatment was going to be. 130 00:07:09,240 --> 00:07:13,000 Speaker 5: It was a twenty thousand dollars expense, and I know 131 00:07:13,040 --> 00:07:14,640 Speaker 5: almost flipped out. I thought, Wow, am I going to 132 00:07:14,720 --> 00:07:17,120 Speaker 5: do this? And you could see the look on her face. 133 00:07:17,160 --> 00:07:20,080 Speaker 5: She almost felt devastated that in my time of need, 134 00:07:20,880 --> 00:07:23,840 Speaker 5: she couldn't just give this to me. My friend Jen 135 00:07:24,000 --> 00:07:26,960 Speaker 5: was on the phone with the only nonprofit that existed 136 00:07:27,000 --> 00:07:30,520 Speaker 5: at the time, who basically was telling her I don't qualify. 137 00:07:31,280 --> 00:07:33,440 Speaker 5: I meanwhile, was on the phone with my American Express 138 00:07:33,480 --> 00:07:36,680 Speaker 5: card getting an increased limit. So that moment was the 139 00:07:36,720 --> 00:07:39,000 Speaker 5: gate first game changer, because I walked out of the 140 00:07:39,040 --> 00:07:40,800 Speaker 5: office and I looked at my friend Jen, and I said, 141 00:07:40,800 --> 00:07:43,000 Speaker 5: we're going to start a nonprofit. We're going to fix this. 142 00:07:43,480 --> 00:07:47,280 Speaker 5: I felt offended that there would be a financial criteria 143 00:07:47,360 --> 00:07:50,600 Speaker 5: to determine who gets help and who doesn't. I think, 144 00:07:50,800 --> 00:07:53,960 Speaker 5: you're thirty one years old, you're at the prime of 145 00:07:54,320 --> 00:07:56,960 Speaker 5: your career. You're still climbing the ladder. You haven't made it. 146 00:07:57,000 --> 00:07:59,360 Speaker 5: I barely had enough years to, you know, put into 147 00:07:59,400 --> 00:08:01,640 Speaker 5: a four to one or an IRA I don't have 148 00:08:01,720 --> 00:08:04,400 Speaker 5: a nest egg. You know, this was not something that 149 00:08:04,440 --> 00:08:07,760 Speaker 5: I felt like we needed to make people prove that 150 00:08:07,840 --> 00:08:11,200 Speaker 5: they have financial need. The cancer is the need, and 151 00:08:11,360 --> 00:08:14,960 Speaker 5: I was offended that insurance didn't cover it, and insurance 152 00:08:15,000 --> 00:08:17,200 Speaker 5: was willing to cover a wig, they were willing to 153 00:08:17,240 --> 00:08:21,040 Speaker 5: cover reconstructive breasts, and so it seemed that society was 154 00:08:21,080 --> 00:08:23,600 Speaker 5: telling me it's more important to us that you look 155 00:08:23,680 --> 00:08:26,440 Speaker 5: like a woman when you're done with us than actually 156 00:08:26,800 --> 00:08:31,440 Speaker 5: produce offspring like a woman. I was really disturbed by that. 157 00:08:31,640 --> 00:08:35,360 Speaker 5: So that was the first pivotal moment of starting a charity, 158 00:08:35,960 --> 00:08:40,360 Speaker 5: was because I wanted to educate, I wanted to advocate, and. 159 00:08:40,320 --> 00:08:42,719 Speaker 4: So talk about how that passion ultimately evolved into the 160 00:08:42,800 --> 00:08:45,600 Speaker 4: launch of Oval Health in twenty twenty three. 161 00:08:45,840 --> 00:08:48,080 Speaker 5: Well, what ended up happening is I was doing all 162 00:08:48,120 --> 00:08:51,600 Speaker 5: this advocacy work and all this legislative change, and I 163 00:08:51,640 --> 00:08:54,920 Speaker 5: was educating all up and down California. But I also 164 00:08:55,120 --> 00:08:58,760 Speaker 5: was witnessing the spread of misinformation on Facebook groups. At 165 00:08:58,800 --> 00:09:01,120 Speaker 5: the time, I knew a lot of nisions and I 166 00:09:01,200 --> 00:09:03,720 Speaker 5: had them on text, and so these women were asking 167 00:09:03,800 --> 00:09:05,920 Speaker 5: questions on these groups and I was able to get 168 00:09:05,920 --> 00:09:09,120 Speaker 5: an answer within fifteen minutes from my professional network. So 169 00:09:09,200 --> 00:09:11,520 Speaker 5: I thought, okay, well, there's got to be a better 170 00:09:11,520 --> 00:09:15,199 Speaker 5: way to do this. So with my business partner, the 171 00:09:15,480 --> 00:09:19,120 Speaker 5: illustrious doctor Santiago Munet, who's a world renowned reproductive geneticist 172 00:09:19,120 --> 00:09:22,240 Speaker 5: and researcher, I emailed him and I said, we got 173 00:09:22,280 --> 00:09:24,040 Speaker 5: to do something about this. There's got to be a 174 00:09:24,120 --> 00:09:27,480 Speaker 5: digital way to let everyone have access to the people 175 00:09:27,480 --> 00:09:30,240 Speaker 5: that he and I know, and they should be able 176 00:09:30,320 --> 00:09:35,560 Speaker 5: to ask questions in a safe, protected environment by actual experts, 177 00:09:35,760 --> 00:09:39,120 Speaker 5: not their peers pretending to be an expert. We all 178 00:09:39,160 --> 00:09:42,000 Speaker 5: have that person who's like, well, I had this experience 179 00:09:42,080 --> 00:09:45,080 Speaker 5: and is therefore my experience pertains to your experience and 180 00:09:45,120 --> 00:09:47,520 Speaker 5: it's just not personalized at all. So I thought, with 181 00:09:47,600 --> 00:09:50,000 Speaker 5: technology where it's at, there's no reason not to create 182 00:09:50,040 --> 00:09:53,439 Speaker 5: an app that can connect the public with a trusted 183 00:09:53,520 --> 00:09:56,800 Speaker 5: network of professionals. That was the first thing that we 184 00:09:56,880 --> 00:09:59,480 Speaker 5: did and we ran that for years. So we have 185 00:09:59,520 --> 00:10:05,679 Speaker 5: over night thousand pieces of clinically validated content, multidisciplinary specialists 186 00:10:05,720 --> 00:10:09,920 Speaker 5: who have answered patient questions as volunteers, which is extraordinary. 187 00:10:10,760 --> 00:10:13,160 Speaker 5: But what we saw in the data because we collected 188 00:10:13,160 --> 00:10:16,280 Speaker 5: so much health information on our users, We saw that 189 00:10:16,320 --> 00:10:19,120 Speaker 5: they weren't being diagnosed with infertility, yet they had been 190 00:10:19,120 --> 00:10:19,920 Speaker 5: infertile for. 191 00:10:19,840 --> 00:10:20,840 Speaker 6: More than three years. 192 00:10:21,679 --> 00:10:25,320 Speaker 5: And because they weren't diagnosed with infertility, they also weren't 193 00:10:25,360 --> 00:10:29,880 Speaker 5: being diagnosed with the underlying conditions causing infertility. So, to me, 194 00:10:30,080 --> 00:10:33,400 Speaker 5: infertility is a frustrating diagnosis because it's based on time. 195 00:10:33,760 --> 00:10:36,400 Speaker 5: It's not based on labs, it's not based on imaging, 196 00:10:36,559 --> 00:10:38,960 Speaker 5: it's not based on anything except you don't have the 197 00:10:39,040 --> 00:10:42,559 Speaker 5: outcome that you want in the timeframe that the professional 198 00:10:42,600 --> 00:10:46,199 Speaker 5: societies has deemed relevant. If you're under the age of 199 00:10:46,280 --> 00:10:48,880 Speaker 5: thirty five and haven't gotten pregnant the old fashioned way 200 00:10:48,920 --> 00:10:52,679 Speaker 5: in a year, you have a disease diagnosis of infertility. 201 00:10:52,840 --> 00:10:55,760 Speaker 5: The medical community wasn't telling women that in the same 202 00:10:55,760 --> 00:10:57,559 Speaker 5: way that I had someone call me and say, I'm 203 00:10:57,600 --> 00:11:00,400 Speaker 5: sorry to break the bad news you have breast can answer. 204 00:11:01,559 --> 00:11:04,280 Speaker 5: If we don't know that somebody has infertility, then they're 205 00:11:04,280 --> 00:11:07,480 Speaker 5: not looking at the underlying cause. So you have women 206 00:11:07,520 --> 00:11:09,400 Speaker 5: who are trying to figure out what's going on, and 207 00:11:09,400 --> 00:11:12,439 Speaker 5: they're turning to Facebook groups or they're turning to other 208 00:11:12,480 --> 00:11:17,200 Speaker 5: online communities. They're trying to take this supplement that supplement, 209 00:11:17,440 --> 00:11:21,360 Speaker 5: but they're not really going through a proper diagnostic journey, 210 00:11:21,400 --> 00:11:25,880 Speaker 5: and we wanted to solve that. So obe Guindes, even 211 00:11:25,920 --> 00:11:27,640 Speaker 5: though we think of them as the ones that deliver 212 00:11:27,679 --> 00:11:31,840 Speaker 5: the babies, they're actually not trained infertility. They're not trained 213 00:11:32,280 --> 00:11:36,720 Speaker 5: in diagnostics for infertility, and they're not trained in optimizing fertility. 214 00:11:36,760 --> 00:11:38,880 Speaker 5: And then you have the IVF doctors that are the 215 00:11:38,880 --> 00:11:44,920 Speaker 5: most extreme treatment possible that has helped millions of babies 216 00:11:44,960 --> 00:11:48,120 Speaker 5: be born worldwide and is a wonderful treatment, but it 217 00:11:48,160 --> 00:11:50,640 Speaker 5: doesn't need to be the first line of treatment. There 218 00:11:50,679 --> 00:11:56,280 Speaker 5: are so many conditions that can actually be treated to 219 00:11:56,360 --> 00:12:00,360 Speaker 5: help restore natural fecundity, meaning someone's ability to obv on 220 00:12:00,400 --> 00:12:02,880 Speaker 5: their own at the right time of the month, to 221 00:12:03,040 --> 00:12:05,480 Speaker 5: ensure that the size of the egg is optimal, to 222 00:12:05,640 --> 00:12:08,160 Speaker 5: ensure that the timing of the egg release is optimal, 223 00:12:08,600 --> 00:12:12,440 Speaker 5: and to ensure that sperm has the best possible chance 224 00:12:12,840 --> 00:12:15,680 Speaker 5: of getting to the egg for a fertilization event to happen. 225 00:12:16,480 --> 00:12:19,280 Speaker 5: When you look at all the optimization steps that are possible, 226 00:12:19,360 --> 00:12:22,400 Speaker 5: it's a miracle that anybody gets pregnant on their own. Okay, 227 00:12:22,679 --> 00:12:25,680 Speaker 5: it really is. And I think we're all raised with 228 00:12:25,760 --> 00:12:28,040 Speaker 5: the idea that when we want to have a baby, 229 00:12:28,080 --> 00:12:29,480 Speaker 5: we think it's going to be easy and it's going 230 00:12:29,520 --> 00:12:31,640 Speaker 5: to be fine. Because we've spent all of our lives 231 00:12:31,679 --> 00:12:34,880 Speaker 5: telling young people how not to get pregnant, that we 232 00:12:34,960 --> 00:12:36,360 Speaker 5: make it seem like they're going to look at a 233 00:12:36,360 --> 00:12:39,080 Speaker 5: man and get pregnant, and that's just not what's So 234 00:12:40,240 --> 00:12:44,400 Speaker 5: we can help same sex couples optimize their attempt as well. 235 00:12:44,920 --> 00:12:47,080 Speaker 5: And you know that is both on the male side 236 00:12:47,120 --> 00:12:51,280 Speaker 5: and on the female side. So really, Ovumhealth was created 237 00:12:51,679 --> 00:12:54,920 Speaker 5: to solve a huge gap that exists, and it's not 238 00:12:54,960 --> 00:12:58,600 Speaker 5: just in the United States, it's worldwide between an OBEGI 239 00:12:58,600 --> 00:13:00,679 Speaker 5: and an IVF doctor. So we can get all those 240 00:13:00,760 --> 00:13:04,440 Speaker 5: diagnostics done and then we can do medical nutrition therapy 241 00:13:04,480 --> 00:13:07,760 Speaker 5: first to start optimizing each step of the fertility process, 242 00:13:08,320 --> 00:13:12,320 Speaker 5: and then use pharmaceutical solutions to kind of take over 243 00:13:12,360 --> 00:13:16,760 Speaker 5: the cycle ovulatory experience to make sure that we are 244 00:13:17,240 --> 00:13:21,920 Speaker 5: helping to craft the most effective and efficient timed intercourse 245 00:13:21,960 --> 00:13:22,800 Speaker 5: cycle possible. 246 00:13:23,800 --> 00:13:26,440 Speaker 4: So your situation was just so awful right where you 247 00:13:26,440 --> 00:13:28,600 Speaker 4: had to pay for your treatment on an AMEX card. 248 00:13:28,920 --> 00:13:31,040 Speaker 4: I'm curious what the current state of access is for 249 00:13:31,120 --> 00:13:33,440 Speaker 4: family building treatments in the US. Is there's still this 250 00:13:33,520 --> 00:13:37,440 Speaker 4: higher socioeconomic barrier for fertility treatment compared to other health issues. 251 00:13:37,720 --> 00:13:41,280 Speaker 5: Sure, there definitely is, and it varies widely. So with 252 00:13:41,360 --> 00:13:46,000 Speaker 5: ovum Health, we are practicing medicine in a lane that's 253 00:13:46,040 --> 00:13:50,400 Speaker 5: covered by insurance. We're not doing anything that falls outside 254 00:13:50,920 --> 00:13:55,520 Speaker 5: of your normal kind of consultative approach to accessing specialty care. 255 00:13:56,120 --> 00:13:59,480 Speaker 5: Because of this, we're covered by insurance. There are some 256 00:13:59,640 --> 00:14:04,400 Speaker 5: innovative testing platforms that are not covered by insurance, so 257 00:14:04,440 --> 00:14:06,720 Speaker 5: we work with our patients to help them with all 258 00:14:06,760 --> 00:14:10,880 Speaker 5: their out of pocket expenses. We do offer financing in house, 259 00:14:11,440 --> 00:14:15,120 Speaker 5: We offer payment plans. We try to be as flexible 260 00:14:15,160 --> 00:14:18,600 Speaker 5: as possible to make sure that there is no socioeconomic barrier. 261 00:14:18,960 --> 00:14:21,560 Speaker 5: I have one hundred and seventy six insurance contracts as 262 00:14:21,560 --> 00:14:24,440 Speaker 5: of today in eight states. I intend to be in 263 00:14:24,480 --> 00:14:26,360 Speaker 5: all fifty states by the end of next year with 264 00:14:26,440 --> 00:14:30,480 Speaker 5: insurance contracts. My hunches will have over six hundred contracts. 265 00:14:30,760 --> 00:14:33,520 Speaker 5: That includes Medicaid. So there are plenty of things that 266 00:14:33,560 --> 00:14:35,880 Speaker 5: Medicaid pays for. And it's not just our ability to 267 00:14:35,920 --> 00:14:39,160 Speaker 5: help someone have a healthy pregnancy, it's our ability to 268 00:14:39,200 --> 00:14:41,920 Speaker 5: help someone have a healthy baby. And that means that 269 00:14:41,920 --> 00:14:45,400 Speaker 5: we have to support women through the reproductive continuum. So 270 00:14:45,480 --> 00:14:48,240 Speaker 5: what ovum is really creating is being the glue at 271 00:14:48,320 --> 00:14:51,280 Speaker 5: kind of every step of that experience for a woman 272 00:14:52,280 --> 00:14:55,960 Speaker 5: in the IVF setting. Yes, there are still huge gaps 273 00:14:56,000 --> 00:14:58,560 Speaker 5: in coverage. There are a lot of programs out there, 274 00:14:58,600 --> 00:15:02,480 Speaker 5: like Carrot and Progeny that have targeted large employer market 275 00:15:03,080 --> 00:15:07,360 Speaker 5: as a specialty insurance product. Only point three percent of 276 00:15:07,440 --> 00:15:11,000 Speaker 5: reproductive age people work for large employers, so it's really 277 00:15:11,080 --> 00:15:17,160 Speaker 5: important that we still access IVF coverage through your basic 278 00:15:17,320 --> 00:15:20,280 Speaker 5: health insurance plans like the etna's and the Blues and 279 00:15:20,280 --> 00:15:24,080 Speaker 5: the United Healthcares. That's where you still have coverage gap, 280 00:15:24,760 --> 00:15:27,840 Speaker 5: and so much of that is dependent on who your 281 00:15:27,880 --> 00:15:30,120 Speaker 5: employer coverage is through, and so much of that is 282 00:15:30,120 --> 00:15:32,760 Speaker 5: if you're self insured or if you're on Medicaid, et cetera. 283 00:15:32,960 --> 00:15:38,360 Speaker 5: So Medicaid currently doesn't cover infertility services, and Medicaid pays 284 00:15:38,400 --> 00:15:42,280 Speaker 5: for about half of the pregnancies and live births in America. 285 00:15:42,800 --> 00:15:47,160 Speaker 5: So we have to start thinking more broadly about treatment options. 286 00:15:47,200 --> 00:15:49,800 Speaker 4: And so walk us through a typical patient journey with 287 00:15:49,840 --> 00:15:52,760 Speaker 4: ovumhealth from first contact to final outcome. What are all 288 00:15:52,760 --> 00:15:54,480 Speaker 4: the ways that Ovum helps them build a family. 289 00:15:55,640 --> 00:15:56,760 Speaker 6: Yes, that's a great question. 290 00:15:56,960 --> 00:15:59,440 Speaker 5: So really, the first thing that we're looking at is 291 00:15:59,480 --> 00:16:03,400 Speaker 5: a diagnostic journey that we want to get people through rapidly. 292 00:16:03,840 --> 00:16:07,120 Speaker 5: So in a traditional healthcare environment, if you have to 293 00:16:07,160 --> 00:16:09,760 Speaker 5: see the number of specialists that are under one roof 294 00:16:09,840 --> 00:16:12,800 Speaker 5: at ovum, it probably would take you six months to 295 00:16:12,840 --> 00:16:16,640 Speaker 5: see all of them, and you'd have six to twelve 296 00:16:16,720 --> 00:16:20,600 Speaker 5: different appointments because that's how many specialists we're bringing onto 297 00:16:20,640 --> 00:16:24,320 Speaker 5: your case. So you initially meet with our nurse practitioner 298 00:16:24,400 --> 00:16:27,000 Speaker 5: to review your medical history. We do ask you to 299 00:16:27,040 --> 00:16:29,320 Speaker 5: fill out quite a bit of data because we want 300 00:16:29,360 --> 00:16:31,840 Speaker 5: it to be again as efficient as possible for you. 301 00:16:31,880 --> 00:16:34,080 Speaker 5: We don't want to waste your time. We want to 302 00:16:34,080 --> 00:16:36,600 Speaker 5: make sure that we are well prepared to be able 303 00:16:36,640 --> 00:16:39,480 Speaker 5: to ask all the follow up questions and review that 304 00:16:39,560 --> 00:16:42,320 Speaker 5: medical history so that we can turn around and order 305 00:16:42,480 --> 00:16:45,640 Speaker 5: your lab work right away. So typically when someone calls 306 00:16:45,680 --> 00:16:47,880 Speaker 5: in to us, we actually book four appointments for them 307 00:16:47,880 --> 00:16:51,240 Speaker 5: at once so that they don't have any delays. We 308 00:16:51,280 --> 00:16:53,720 Speaker 5: book that first visit, we book the lab appointment for 309 00:16:53,840 --> 00:16:56,920 Speaker 5: them at their local lab. After the lab visit, then 310 00:16:57,200 --> 00:16:59,680 Speaker 5: our patients get to meet with the lead clinician on 311 00:16:59,720 --> 00:17:02,800 Speaker 5: their case, and that's usually when they get an initial 312 00:17:02,800 --> 00:17:06,720 Speaker 5: diagnosis from the lab work and the history that we reviewed. 313 00:17:07,280 --> 00:17:09,440 Speaker 5: At that point, then we probably need to send them 314 00:17:09,440 --> 00:17:13,600 Speaker 5: for imaging. We need to do fallopian tube evaluation, uterinevaluation, 315 00:17:13,880 --> 00:17:18,840 Speaker 5: and ovaryanvaluation, and they then get paired with a nurse navigator. 316 00:17:19,160 --> 00:17:22,840 Speaker 5: That nurse navigator's job is to help them understand what 317 00:17:22,880 --> 00:17:26,040 Speaker 5: their treatment options are going to be. The doctor had 318 00:17:26,040 --> 00:17:29,280 Speaker 5: already reviewed the treatment options. However, as we all know, 319 00:17:30,000 --> 00:17:32,239 Speaker 5: we are trying to take in as much information as 320 00:17:32,240 --> 00:17:33,879 Speaker 5: we can in that doctor visit, and then as soon 321 00:17:33,920 --> 00:17:35,199 Speaker 5: as we get in the car, as soon as we 322 00:17:35,240 --> 00:17:38,040 Speaker 5: get off the phone, we think of thirty questions to ask, 323 00:17:38,480 --> 00:17:40,600 Speaker 5: so we pair them with a nurse navigator so that 324 00:17:40,640 --> 00:17:44,080 Speaker 5: they have somebody to ask all those follow up questions efficiently. 325 00:17:44,560 --> 00:17:46,560 Speaker 5: At that point, then we lay out kind of what 326 00:17:46,640 --> 00:17:48,320 Speaker 5: the next three to four months of their life is 327 00:17:48,320 --> 00:17:51,119 Speaker 5: going to look like. In all cases, we assign them 328 00:17:51,160 --> 00:17:54,679 Speaker 5: a registered dietitian, so they have a nurse navigator that 329 00:17:54,960 --> 00:17:57,840 Speaker 5: is the glue of their case and helping to facilitate 330 00:17:57,920 --> 00:18:01,119 Speaker 5: every next step. They're assigned a registered dietitian, and they 331 00:18:01,200 --> 00:18:03,840 Speaker 5: even get a patient advocate who's kind of advocating for 332 00:18:03,880 --> 00:18:07,760 Speaker 5: their insurance, helping them understand what else they need where 333 00:18:07,800 --> 00:18:09,560 Speaker 5: they need to order it. It could be a custom 334 00:18:09,600 --> 00:18:12,840 Speaker 5: supplement list, it could be an at home continuous hormone 335 00:18:12,840 --> 00:18:15,920 Speaker 5: monitoring kit. It could be their molecular sperm testing kit 336 00:18:15,960 --> 00:18:19,400 Speaker 5: for their partner as well. So we line up kind 337 00:18:19,400 --> 00:18:23,040 Speaker 5: of the diagnostic journey first, but in a lot of cases, 338 00:18:23,080 --> 00:18:26,760 Speaker 5: we're already starting some medical nutrition therapy or MEDICATEID weight loss, 339 00:18:27,240 --> 00:18:30,879 Speaker 5: or working with the registered dietitian even alongside some of 340 00:18:30,920 --> 00:18:33,840 Speaker 5: the other steps because we have some of the diagnoses already. 341 00:18:34,200 --> 00:18:36,560 Speaker 5: We know people who are insulin resistant, so we know 342 00:18:36,640 --> 00:18:38,440 Speaker 5: what kind of diet plan we need to help them with. 343 00:18:38,520 --> 00:18:41,440 Speaker 5: We know the lifestyle changes we need to pair them with. 344 00:18:41,720 --> 00:18:44,520 Speaker 5: We're even adding PT into our practice so that we 345 00:18:44,560 --> 00:18:47,960 Speaker 5: can customize exercise plans specific to somebody's condition. 346 00:18:48,840 --> 00:18:51,320 Speaker 4: But ovum Health is also launching during this pivotal moment 347 00:18:51,359 --> 00:18:53,760 Speaker 4: in AI, and so I'm curious, was it always the 348 00:18:53,760 --> 00:18:56,520 Speaker 4: plan to leverage this technology for ovum or was it 349 00:18:56,560 --> 00:18:58,439 Speaker 4: more of an organic evolution to this point. 350 00:18:59,040 --> 00:18:59,760 Speaker 6: It was both. 351 00:19:00,480 --> 00:19:03,200 Speaker 5: It was always my intention that we needed to have 352 00:19:03,359 --> 00:19:08,080 Speaker 5: AI enabled technology to be able to scale faster and 353 00:19:08,280 --> 00:19:12,879 Speaker 5: to also be able to improve quality control across so 354 00:19:13,000 --> 00:19:15,919 Speaker 5: many states, because how do you really do that? I 355 00:19:16,000 --> 00:19:20,440 Speaker 5: need to upscale all different levels of healthcare providers, Then 356 00:19:20,800 --> 00:19:25,480 Speaker 5: how do we efficiently kind of manage that clinical excellence experience? 357 00:19:25,560 --> 00:19:27,240 Speaker 5: And the only way to really do that is to 358 00:19:27,320 --> 00:19:31,600 Speaker 5: create clinical decisions support tools that everybody utilizes that are 359 00:19:31,720 --> 00:19:34,359 Speaker 5: very easy to make sure that we're managing our care 360 00:19:35,160 --> 00:19:36,520 Speaker 5: in a consistent fashion. 361 00:19:36,840 --> 00:19:38,399 Speaker 6: How else could we possibly do it? 362 00:19:38,720 --> 00:19:44,200 Speaker 5: State by state experience level varies, So that was always. 363 00:19:43,880 --> 00:19:44,600 Speaker 6: Kind of the plan. 364 00:19:45,400 --> 00:19:48,560 Speaker 5: The area that I didn't even know was possible was 365 00:19:48,600 --> 00:19:52,000 Speaker 5: this area of being able to reach the masses truly 366 00:19:52,280 --> 00:19:55,560 Speaker 5: through an AI tool through the Fertility Answers app. So 367 00:19:55,600 --> 00:19:59,560 Speaker 5: when IBM approached me for that partnership, the bells went off. 368 00:20:00,040 --> 00:20:04,600 Speaker 5: Always knew that I couldn't scale voluntary humans. I have 369 00:20:04,640 --> 00:20:07,760 Speaker 5: a network of over four hundred medical professionals across so 370 00:20:07,800 --> 00:20:16,600 Speaker 5: many disciplines. We're talking mds, genetic counselors, geneticists, psychologists, obigiinds, naturopaths, 371 00:20:16,680 --> 00:20:20,600 Speaker 5: functional medicine docs. I have about thirteen different specialties, all 372 00:20:21,359 --> 00:20:25,640 Speaker 5: willing to answer free questions but relying on that voluntary 373 00:20:25,720 --> 00:20:30,080 Speaker 5: basis is not something that can scale. It's a beautiful 374 00:20:30,160 --> 00:20:34,240 Speaker 5: thing that they're doing, and it's created ninety thousand pieces 375 00:20:34,320 --> 00:20:38,520 Speaker 5: of clinically validated content, but we needed to move beyond 376 00:20:38,720 --> 00:20:42,280 Speaker 5: kind of the initial interaction being a human answering the 377 00:20:42,359 --> 00:20:44,120 Speaker 5: question and leverage. 378 00:20:43,680 --> 00:20:45,000 Speaker 6: AI to be able to do that. 379 00:20:45,840 --> 00:20:48,879 Speaker 5: So what was really extraordinary for me is that I 380 00:20:48,960 --> 00:20:53,240 Speaker 5: had my eyes kind of opened by IBM to see 381 00:20:53,240 --> 00:20:57,040 Speaker 5: what was possible for my practice with AI. Once that 382 00:20:57,400 --> 00:21:01,360 Speaker 5: seed was planted, then the world opened up. We have 383 00:21:01,520 --> 00:21:04,600 Speaker 5: four tools that we're working on right now. The first 384 00:21:04,640 --> 00:21:07,760 Speaker 5: has already been integrated, which is the Fertility Answers App. 385 00:21:07,880 --> 00:21:11,880 Speaker 5: So the initial experience for women and mostly women because 386 00:21:11,880 --> 00:21:14,040 Speaker 5: they're the ones download the app, but we take men. 387 00:21:14,200 --> 00:21:16,399 Speaker 6: I promise we're not excluding them. We see both. 388 00:21:16,720 --> 00:21:20,920 Speaker 5: It takes two and they have the opportunity to access 389 00:21:20,960 --> 00:21:24,280 Speaker 5: all that content in a personalized way through the IBM 390 00:21:24,320 --> 00:21:29,680 Speaker 5: Watson Assistant chatbot, so that is incredible. We're also deploying 391 00:21:29,720 --> 00:21:33,320 Speaker 5: a revenue cycle management tool. You can imagine with all 392 00:21:33,359 --> 00:21:36,600 Speaker 5: these different contracts that I have one hundred and seventy 393 00:21:36,600 --> 00:21:39,280 Speaker 5: six contracts and eventually I'll have probably six hundred contracts 394 00:21:40,240 --> 00:21:43,360 Speaker 5: they all have different price lists. Makes it very difficult 395 00:21:43,400 --> 00:21:47,720 Speaker 5: to forecast what's in my electronic medical record system for 396 00:21:47,800 --> 00:21:51,639 Speaker 5: that day based on the type of insurance. Now, even 397 00:21:51,680 --> 00:21:55,040 Speaker 5: within one insurance contract, they might have hundreds of insurance 398 00:21:55,080 --> 00:22:00,000 Speaker 5: plans that have all various mechanisms for what we can 399 00:22:00,000 --> 00:22:03,359 Speaker 5: and expect to build. You might have co insurance, you 400 00:22:03,440 --> 00:22:06,199 Speaker 5: might have a deductible, you might have a copay, and 401 00:22:06,280 --> 00:22:10,080 Speaker 5: it varies planned to plan. We're dealing with a level 402 00:22:10,119 --> 00:22:13,080 Speaker 5: of medical literacy in this country that is very low, 403 00:22:13,800 --> 00:22:17,840 Speaker 5: and the layperson doesn't understand their insurance all the time. 404 00:22:19,000 --> 00:22:19,560 Speaker 6: How am I. 405 00:22:19,520 --> 00:22:23,280 Speaker 5: Expected to be able to deal with truly thousands of 406 00:22:23,320 --> 00:22:27,119 Speaker 5: combinations of insurance plans based on these contracts. You have 407 00:22:27,200 --> 00:22:29,800 Speaker 5: to have AI just to tackle that big data issue. 408 00:22:30,440 --> 00:22:32,560 Speaker 5: So we have a revenue cycle management tool that is 409 00:22:32,600 --> 00:22:36,200 Speaker 5: also helping us with an automated clinical workflow, and that's 410 00:22:36,240 --> 00:22:38,879 Speaker 5: what a wonderful partner we have called cloud Astra, who 411 00:22:39,000 --> 00:22:43,160 Speaker 5: is also in the IBM ecosystem. So it's incredibly exciting 412 00:22:43,200 --> 00:22:46,800 Speaker 5: to know that I can come out of a startup 413 00:22:46,840 --> 00:22:51,560 Speaker 5: mode profitably because we're deploying smart tools from the beginning. 414 00:22:53,040 --> 00:22:56,240 Speaker 5: Then we also have in development our fertility Clinical decision 415 00:22:56,280 --> 00:23:00,840 Speaker 5: support tool to really scale the clinical experience so that 416 00:23:01,200 --> 00:23:05,560 Speaker 5: we're analyzing genomic data, lab data, clinical data, and even 417 00:23:05,600 --> 00:23:09,000 Speaker 5: self reported data from our users in a way that 418 00:23:09,320 --> 00:23:12,520 Speaker 5: helps our clinicians know what to do next. And that's 419 00:23:12,560 --> 00:23:16,160 Speaker 5: all based on standard of care guidelines, all evidence based medicine, 420 00:23:16,160 --> 00:23:19,200 Speaker 5: but built into a really useful tool to help them 421 00:23:19,200 --> 00:23:24,280 Speaker 5: do their job more efficiently. Recently, the International Guidelines for 422 00:23:24,400 --> 00:23:29,760 Speaker 5: PCOS polycystic Ovarian Syndrome updated guidelines. There were two hundred 423 00:23:30,160 --> 00:23:33,919 Speaker 5: individual points in these guidelines. Two hundred and that's for 424 00:23:34,040 --> 00:23:39,520 Speaker 5: one condition, So imagine you multiply that across dozens of conditions. 425 00:23:40,160 --> 00:23:43,520 Speaker 5: You can't expect a human to retain that information and 426 00:23:43,600 --> 00:23:46,359 Speaker 5: to be able to recall it right when someone's in 427 00:23:46,400 --> 00:23:51,320 Speaker 5: front of them. So tools that have IBMS AI enabled 428 00:23:51,640 --> 00:23:54,400 Speaker 5: are really critical to do an exceptional job in healthcare. 429 00:23:54,960 --> 00:23:57,159 Speaker 5: And then the fourth tool that we're creating with IBM 430 00:23:57,280 --> 00:24:00,879 Speaker 5: is a medical nutrition therapy tool that we can scale 431 00:24:00,920 --> 00:24:04,800 Speaker 5: beyond our registered dietitians and be able to help women 432 00:24:05,480 --> 00:24:10,399 Speaker 5: really optimize their fertility, health and wellness by having personalized 433 00:24:10,400 --> 00:24:12,399 Speaker 5: approach to medical nutrition therapy. 434 00:24:12,480 --> 00:24:13,800 Speaker 6: And that also requires AI. 435 00:24:14,440 --> 00:24:16,480 Speaker 4: So when you decided to go big and introduce AI 436 00:24:16,560 --> 00:24:18,520 Speaker 4: in so many different ways to scale up your app 437 00:24:18,560 --> 00:24:21,399 Speaker 4: and your business. More broadly, why did you pick IBM 438 00:24:21,400 --> 00:24:22,040 Speaker 4: as a partner? 439 00:24:22,440 --> 00:24:25,160 Speaker 5: IBM was an easy yes when we were approached about 440 00:24:25,160 --> 00:24:26,920 Speaker 5: this partnership for so many reasons. 441 00:24:27,960 --> 00:24:30,359 Speaker 6: I'm not an AI startup, I'm. 442 00:24:30,200 --> 00:24:33,800 Speaker 5: A healthcare startup, and it's very important that I don't 443 00:24:33,800 --> 00:24:37,320 Speaker 5: waste resources trying to figure out AI all by ourselves. 444 00:24:37,960 --> 00:24:41,000 Speaker 5: We needed to be very fast to market and needed 445 00:24:41,000 --> 00:24:44,399 Speaker 5: to be with a trusted partner. IBM brought that to 446 00:24:44,480 --> 00:24:48,000 Speaker 5: the team right away. But secondarily, the IBM team that 447 00:24:48,040 --> 00:24:53,520 Speaker 5: I've been exposed to is incredible. So from a partnership standpoint, 448 00:24:53,800 --> 00:24:57,520 Speaker 5: the team has made it easy, joyful. There's some of 449 00:24:57,520 --> 00:25:00,760 Speaker 5: the smartest people that I've had the play to work with, 450 00:25:01,200 --> 00:25:03,840 Speaker 5: and so I think the culture of what IBMS created 451 00:25:03,920 --> 00:25:08,200 Speaker 5: for startups is very unique and truly every single aspect 452 00:25:08,359 --> 00:25:10,960 Speaker 5: of the team that I've worked with, from the developers 453 00:25:11,000 --> 00:25:15,679 Speaker 5: themselves that build labs, to the customer success team to 454 00:25:15,760 --> 00:25:18,320 Speaker 5: my day to day team, I mean, my goodness, it 455 00:25:18,400 --> 00:25:21,600 Speaker 5: is just a dream team. So IBM made it as 456 00:25:21,600 --> 00:25:23,320 Speaker 5: easy as possible for me to say yes. 457 00:25:25,000 --> 00:25:27,879 Speaker 3: Alice really helped open my eyes to the challenges facing 458 00:25:27,920 --> 00:25:33,119 Speaker 3: providers in an industry as sensitive and individualized as fertility care. 459 00:25:33,520 --> 00:25:36,960 Speaker 3: It makes sense that scalability would be an issue, but 460 00:25:37,080 --> 00:25:40,280 Speaker 3: with the help of AI, ovum Health has been able 461 00:25:40,320 --> 00:25:44,280 Speaker 3: to solve a few of the extraordinary challenges of bringing effective, 462 00:25:44,560 --> 00:25:49,000 Speaker 3: affordable fertility care to the general public, from multiplying the 463 00:25:49,040 --> 00:25:53,120 Speaker 3: impact of its medical professional network to enabling more accurate 464 00:25:53,200 --> 00:25:59,440 Speaker 3: forecasting of complex contracts. Patients are benefiting directly and indirectly 465 00:25:59,600 --> 00:26:04,520 Speaker 3: from the integration of AI across the healthcare journey. 466 00:26:04,800 --> 00:26:06,719 Speaker 4: A lot of people have nuanced health questions that are 467 00:26:06,800 --> 00:26:09,240 Speaker 4: unique to them due to their own personal health history, 468 00:26:09,280 --> 00:26:12,479 Speaker 4: maybe their lifestyle factors, or the specific medications they're taking. 469 00:26:12,920 --> 00:26:15,960 Speaker 4: How does the Fertility Answers bot personalize all its responses. 470 00:26:17,440 --> 00:26:18,480 Speaker 6: Yeah, that's a great question. 471 00:26:18,560 --> 00:26:20,800 Speaker 5: So when we onboard our users, we do ask them 472 00:26:20,800 --> 00:26:23,560 Speaker 5: to fill out quite a bit of health information, and 473 00:26:23,800 --> 00:26:27,160 Speaker 5: we have ninety nine percent compliance rates on the health 474 00:26:27,160 --> 00:26:31,480 Speaker 5: information that people fill out. So when you ask a question, 475 00:26:32,240 --> 00:26:35,360 Speaker 5: you're asking it with all your health information already attached 476 00:26:35,359 --> 00:26:40,679 Speaker 5: to it. The library of responses then shows you questions 477 00:26:40,680 --> 00:26:44,920 Speaker 5: and answers of people who are similar to you. If 478 00:26:44,960 --> 00:26:47,600 Speaker 5: that doesn't answer your question, you still have a chance 479 00:26:47,640 --> 00:26:50,919 Speaker 5: to route your question to the same volunteer network of 480 00:26:50,960 --> 00:26:53,320 Speaker 5: professionals that existed before the bot was there. 481 00:26:54,200 --> 00:26:56,879 Speaker 4: And so some problems, especially those related to fertility and 482 00:26:56,960 --> 00:26:59,760 Speaker 4: needle care, require human to human connection, right This is 483 00:26:59,800 --> 00:27:02,080 Speaker 4: what or built for as primates to kind of engage 484 00:27:02,119 --> 00:27:05,560 Speaker 4: with our families as the chatbot addresses such a personal 485 00:27:05,600 --> 00:27:07,560 Speaker 4: health need. How easy is it for a doctor to 486 00:27:07,600 --> 00:27:10,359 Speaker 4: interject or for a patient to request care from a doctor. 487 00:27:11,119 --> 00:27:14,120 Speaker 5: Very easy, and that was super important to me. One 488 00:27:14,200 --> 00:27:16,280 Speaker 5: of the things that I love the most out of 489 00:27:16,359 --> 00:27:21,360 Speaker 5: IBM was that I had the chance to infuse empathy 490 00:27:21,480 --> 00:27:25,000 Speaker 5: directly into the bought experience. I didn't want something that 491 00:27:25,080 --> 00:27:28,399 Speaker 5: sounded or came off as robotic, but it is incredibly 492 00:27:28,440 --> 00:27:31,680 Speaker 5: easy and the Watson Assistant flow for someone to request 493 00:27:31,800 --> 00:27:35,439 Speaker 5: that immediate human connection. We have a chat feature that 494 00:27:35,560 --> 00:27:38,840 Speaker 5: gets to a patient advocate right away, We have a 495 00:27:38,880 --> 00:27:41,240 Speaker 5: feature where they can route their question to that network 496 00:27:41,280 --> 00:27:43,760 Speaker 5: of experts right away, and we have a feature where 497 00:27:43,800 --> 00:27:45,879 Speaker 5: they can book a console with one of our medical 498 00:27:45,880 --> 00:27:47,280 Speaker 5: professionals right away as well. 499 00:27:47,920 --> 00:27:50,800 Speaker 4: So you have over sixty seven thousand users now, which 500 00:27:50,840 --> 00:27:53,080 Speaker 4: is kind of amazing. How do you get them to 501 00:27:53,119 --> 00:27:55,560 Speaker 4: feel the kind of trust and empathy people expect from 502 00:27:55,560 --> 00:27:58,119 Speaker 4: their healthcare provider, especially in the fertility space. 503 00:27:58,760 --> 00:28:01,879 Speaker 5: In our case, a very human brand, So from the 504 00:28:01,880 --> 00:28:06,359 Speaker 5: moment that someone interacts with our content, they're already experiencing 505 00:28:06,440 --> 00:28:11,359 Speaker 5: clinically validated answers in the form of video. We don't 506 00:28:11,359 --> 00:28:13,840 Speaker 5: ask people to download and register our app upon the 507 00:28:13,840 --> 00:28:19,359 Speaker 5: first touch point. We are infusing medical education into the 508 00:28:19,440 --> 00:28:23,800 Speaker 5: community through video so that they can start to build 509 00:28:23,840 --> 00:28:27,200 Speaker 5: that brand trust with us from the beginning. What I've 510 00:28:27,280 --> 00:28:30,440 Speaker 5: noticed is that because our brand is such human connection, 511 00:28:30,760 --> 00:28:33,720 Speaker 5: we've built up so much trust. And it's not just 512 00:28:33,760 --> 00:28:37,400 Speaker 5: about the app experience. It's also how active our Instagram is, 513 00:28:37,960 --> 00:28:41,560 Speaker 5: where we answer live questions for people in Instagram lives, 514 00:28:42,280 --> 00:28:46,560 Speaker 5: so there's multiple ways for people to get served for 515 00:28:47,400 --> 00:28:51,880 Speaker 5: virtually free and an unlimited fashion. We've vetted all the 516 00:28:51,880 --> 00:28:53,880 Speaker 5: providers for them so they don't have to do that. 517 00:28:54,360 --> 00:28:56,440 Speaker 5: So I think that there's multiple things that go into 518 00:28:56,480 --> 00:28:59,880 Speaker 5: building brand trust, and that's why we show sort of 519 00:29:00,080 --> 00:29:03,720 Speaker 5: the profile of someone who asked a similar question already, 520 00:29:03,720 --> 00:29:06,280 Speaker 5: so that they can find themselves in that Oh wow, 521 00:29:06,520 --> 00:29:09,560 Speaker 5: that person who asked my similar question or almost my 522 00:29:09,640 --> 00:29:13,880 Speaker 5: exact same question, also is thirty seven years old or 523 00:29:13,960 --> 00:29:17,360 Speaker 5: also has PCOS or also has endo. So there are 524 00:29:17,400 --> 00:29:20,400 Speaker 5: different ways that we are able to kind of get 525 00:29:20,400 --> 00:29:23,240 Speaker 5: into the psychology of our community to make sure that 526 00:29:23,280 --> 00:29:27,120 Speaker 5: they feel heard. And I think whenever anybody feels truly heard, 527 00:29:27,680 --> 00:29:29,520 Speaker 5: then that trust is possible. 528 00:29:30,600 --> 00:29:33,920 Speaker 4: So this season of Smart Talks features new creators, visionaries 529 00:29:34,000 --> 00:29:36,880 Speaker 4: like you who are creatively applying technology in business to 530 00:29:37,000 --> 00:29:39,400 Speaker 4: drive change. I know that you have a Bachelor of 531 00:29:39,400 --> 00:29:42,479 Speaker 4: Science in Media, Arts and Design. How does this creative 532 00:29:42,480 --> 00:29:45,000 Speaker 4: background inform what you do? Is CEO of Opum Health. 533 00:29:45,680 --> 00:29:46,959 Speaker 6: Oh, that's such a great question. 534 00:29:47,680 --> 00:29:51,000 Speaker 5: That I use my degree every single day and I'm 535 00:29:51,080 --> 00:29:53,080 Speaker 5: not a spring chicken, so I've had that degree for 536 00:29:53,200 --> 00:29:59,000 Speaker 5: quite a while, Laurie. Every CEO has a i would 537 00:29:59,000 --> 00:30:01,880 Speaker 5: say leading skill set. You know, there are some that 538 00:30:01,920 --> 00:30:05,120 Speaker 5: are leading financial type people. There's some that are leading 539 00:30:05,320 --> 00:30:08,760 Speaker 5: kind of business to business salespeople. I am very much 540 00:30:08,880 --> 00:30:14,000 Speaker 5: a leading marketing type CEO. So for me, the patient experience, 541 00:30:14,000 --> 00:30:16,840 Speaker 5: the user experience, that human experience is kind of everything 542 00:30:16,880 --> 00:30:19,240 Speaker 5: that I stand for and I'm about and it must 543 00:30:19,280 --> 00:30:22,200 Speaker 5: be authentic. And because of the background that I have, 544 00:30:22,400 --> 00:30:27,040 Speaker 5: I love nothing more than co producing with my chief storyteller, 545 00:30:27,080 --> 00:30:30,719 Speaker 5: Joshua Noonan, who's been with me forever. We love co 546 00:30:30,800 --> 00:30:33,640 Speaker 5: producing content. It could be a twenty two second video 547 00:30:33,680 --> 00:30:37,479 Speaker 5: that that's educational, it could be an hour long course, 548 00:30:37,880 --> 00:30:41,440 Speaker 5: you know, for professionals. And so I do feel that 549 00:30:41,640 --> 00:30:44,240 Speaker 5: I bring that media, arts and design background to kind 550 00:30:44,240 --> 00:30:49,240 Speaker 5: of my type of leadership, and storytelling is kind of everything. 551 00:30:49,800 --> 00:30:53,120 Speaker 5: You know, Being a great storyteller, no matter what your 552 00:30:53,120 --> 00:30:55,360 Speaker 5: brand is or no matter the type of leader you are, 553 00:30:55,600 --> 00:30:58,000 Speaker 5: is the way that kind of attracts and connects people 554 00:30:58,040 --> 00:31:01,400 Speaker 5: to us. And it's you know, fortunate that social media 555 00:31:01,440 --> 00:31:04,800 Speaker 5: has created this visual world that we live in and 556 00:31:04,880 --> 00:31:07,040 Speaker 5: this video based world that we live in as well. 557 00:31:07,480 --> 00:31:10,560 Speaker 4: So you're an activist for accessibility and inclusivity and healthcare. 558 00:31:10,840 --> 00:31:13,120 Speaker 4: If you could look years down the line, how do 559 00:31:13,160 --> 00:31:16,760 Speaker 4: you see creative applications of technology like fertility answers changing 560 00:31:16,840 --> 00:31:18,160 Speaker 4: how we talk about women's health. 561 00:31:18,600 --> 00:31:20,920 Speaker 5: Well, first, I think that these tools need to be 562 00:31:20,960 --> 00:31:24,040 Speaker 5: covered by insurance. So I think what is going to 563 00:31:24,080 --> 00:31:26,719 Speaker 5: be the game changer in the value based care market 564 00:31:26,960 --> 00:31:30,160 Speaker 5: is that insurance is going to figure out that by 565 00:31:30,320 --> 00:31:34,800 Speaker 5: creating a reimbursement mechanism for more digital therapeutics, but also 566 00:31:34,840 --> 00:31:38,840 Speaker 5: for digital diagnostic tools is going to lead to a 567 00:31:38,920 --> 00:31:43,400 Speaker 5: much more cost effective healthcare society, no matter what kind 568 00:31:43,440 --> 00:31:46,160 Speaker 5: of insurance type or plan that we have. So on 569 00:31:46,200 --> 00:31:50,920 Speaker 5: the accessibility side, those tools are really meaningful to the 570 00:31:50,960 --> 00:31:54,800 Speaker 5: future of healthcare. I would also say that technology creates 571 00:31:54,800 --> 00:31:58,080 Speaker 5: a more democratized health care environment. A lot of our 572 00:31:58,280 --> 00:32:01,320 Speaker 5: patients live four hours from a type of specialist that 573 00:32:01,360 --> 00:32:04,120 Speaker 5: they need four hours, you know, a lot of them 574 00:32:04,160 --> 00:32:06,040 Speaker 5: are at least an hour an hour and a half 575 00:32:06,080 --> 00:32:10,240 Speaker 5: from a major lab. So leveraging these types of tools 576 00:32:10,280 --> 00:32:13,360 Speaker 5: gets them the answers that they need faster, which will 577 00:32:13,440 --> 00:32:17,000 Speaker 5: lead to better intervention earlier. And that's where we come 578 00:32:17,040 --> 00:32:20,200 Speaker 5: down to healthy mamas, healthy babies, make happy families. 579 00:32:21,200 --> 00:32:21,560 Speaker 2: Awesome. 580 00:32:21,600 --> 00:32:23,480 Speaker 4: That's a great way to end. Thank you allis so 581 00:32:23,560 --> 00:32:25,960 Speaker 4: much for being with us on smart Talks today. It 582 00:32:26,080 --> 00:32:27,840 Speaker 4: is such great work that you were doing to help 583 00:32:27,840 --> 00:32:29,760 Speaker 4: women in families. So thank you for all your work 584 00:32:29,800 --> 00:32:30,880 Speaker 4: and thanks for our chat today. 585 00:32:31,400 --> 00:32:32,120 Speaker 6: Thank you Laurie. 586 00:32:32,120 --> 00:32:33,800 Speaker 5: It's such an honor to get to be on Smart 587 00:32:33,840 --> 00:32:36,480 Speaker 5: Talks and it was a delightful conversation. 588 00:32:40,600 --> 00:32:43,280 Speaker 3: That about wraps up today's episode. I want to send 589 00:32:43,320 --> 00:32:46,240 Speaker 3: a huge thank you to Laurie and Alice for deepening 590 00:32:46,280 --> 00:32:49,640 Speaker 3: the way I think about AI's expanding role in the 591 00:32:49,640 --> 00:32:53,840 Speaker 3: future of healthcare. It was illuminating to hear a first 592 00:32:53,840 --> 00:32:57,520 Speaker 3: hand account of how providers are already integrating the power 593 00:32:57,520 --> 00:33:03,160 Speaker 3: of transparent, human centric generative AI through Watson X. It's 594 00:33:03,360 --> 00:33:08,520 Speaker 3: enabling telehealth platforms to multiply their impact and is quickly 595 00:33:08,560 --> 00:33:13,239 Speaker 3: becoming essential to offering comprehensive care to patients. As our 596 00:33:13,280 --> 00:33:17,239 Speaker 3: conversation with Laurie and Alice showed, accessibility has long been 597 00:33:17,280 --> 00:33:21,560 Speaker 3: an issue facing patients, particularly in the fertility space. With 598 00:33:21,640 --> 00:33:26,240 Speaker 3: the help of technology from IBM, overumhealth is meaningfully expanding 599 00:33:26,240 --> 00:33:28,959 Speaker 3: its reach to women who previously may not have been 600 00:33:29,000 --> 00:33:33,600 Speaker 3: able to access personalized fertility care. Steps like these are 601 00:33:33,600 --> 00:33:36,600 Speaker 3: helping to usher in a new age in healthcare, one 602 00:33:36,640 --> 00:33:41,880 Speaker 3: that holds incredible potential for both patients and providers. Yet, 603 00:33:41,920 --> 00:33:44,880 Speaker 3: as new technology is implemented, it needs to be done 604 00:33:45,000 --> 00:33:50,240 Speaker 3: with responsibility and care. Using emerging technologies in sensitive feels 605 00:33:50,280 --> 00:33:54,880 Speaker 3: like fertility has the power to transform how people receive care, But, 606 00:33:55,560 --> 00:34:01,160 Speaker 3: as Alice emphasized, only if patient needs are central to 607 00:34:01,200 --> 00:34:06,320 Speaker 3: how we implement solutions. Ovum Health already has over sixty 608 00:34:06,360 --> 00:34:10,040 Speaker 3: seven thousand users. Just think of all the pregnancies that 609 00:34:10,080 --> 00:34:13,160 Speaker 3: have been supported by the platform, and as we just heard, 610 00:34:13,440 --> 00:34:16,759 Speaker 3: this is only the beginning. It's exciting to see how 611 00:34:16,800 --> 00:34:19,959 Speaker 3: this new technology will continue to reach people in need. 612 00:34:20,960 --> 00:34:24,440 Speaker 3: Smart Talks with IBM is produced by Matt Romano, Joey 613 00:34:24,440 --> 00:34:28,720 Speaker 3: fish Ground and Jacob Goldstein. We're edited by Lydia Jane Kott. 614 00:34:29,000 --> 00:34:33,520 Speaker 3: Our engineers are Jason Gambrel, Sarah Bruguier, and Ben Tolliday. 615 00:34:34,120 --> 00:34:38,720 Speaker 3: Theme song by Gramoscope. Special thanks to Andy Kelly, Kathy 616 00:34:38,840 --> 00:34:42,399 Speaker 3: Callahan and the eight Bar and IBM teams, as well 617 00:34:42,400 --> 00:34:46,239 Speaker 3: as the Pushkin marketing team. Smart Talks with IBM is 618 00:34:46,239 --> 00:34:50,239 Speaker 3: a production of Pushkin Industries and Ruby Studio at iHeartMedia. 619 00:34:50,840 --> 00:34:54,720 Speaker 3: To find more Pushkin podcasts, listen on the iHeartRadio app, 620 00:34:54,920 --> 00:34:59,720 Speaker 3: Apple Podcasts, or wherever you listen to podcasts. I'm Malcolm 621 00:34:59,719 --> 00:34:59,879 Speaker 3: Glad