1 00:00:01,243 --> 00:00:05,195 I want to share some personal friends and stories with you 2 00:00:05,195 --> 00:00:07,232 that I've actually never talked about in public before 3 00:00:07,232 --> 00:00:09,592 to help illustrate the idea 4 00:00:09,592 --> 00:00:11,511 and the need and the hope 5 00:00:11,511 --> 00:00:14,793 for us to reinvent our health care system around the world. 6 00:00:14,793 --> 00:00:18,180 Twenty-four years ago, I had -- a sophomore in college, 7 00:00:18,180 --> 00:00:21,002 I had a series of fainting spells. No alcohol was involved. 8 00:00:21,002 --> 00:00:23,933 And I ended up in student health, 9 00:00:23,933 --> 00:00:26,102 and they ran some labwork and came back right away, 10 00:00:26,102 --> 00:00:28,275 and said, "Kidney problems." 11 00:00:28,275 --> 00:00:31,725 And before I knew it, I was involved and thrown into 12 00:00:31,725 --> 00:00:34,945 this six months of tests and trials and tribulations 13 00:00:34,945 --> 00:00:37,629 with six doctors across two hospitals 14 00:00:37,629 --> 00:00:40,325 in this clash of medical titans 15 00:00:40,325 --> 00:00:42,369 to figure out which one of them was right 16 00:00:42,369 --> 00:00:44,833 about what was wrong with me. 17 00:00:44,833 --> 00:00:48,106 And I'm sitting in a waiting room some time later for an ultrasound, 18 00:00:48,106 --> 00:00:50,929 and all six of these doctors actually show up in the room at once, 19 00:00:50,929 --> 00:00:55,281 and I'm like, "Uh oh, this is bad news." 20 00:00:55,281 --> 00:00:56,844 And their diagnosis was this: 21 00:00:56,844 --> 00:00:58,754 They said, "You have two rare kidney diseases 22 00:00:58,754 --> 00:01:01,435 that are going to actually destroy your kidneys eventually, 23 00:01:01,435 --> 00:01:03,972 you have cancer-like cells in your immune system 24 00:01:03,972 --> 00:01:05,889 that we need to start treatment right away, 25 00:01:05,889 --> 00:01:08,346 and you'll never be eligible for a kidney transplant, 26 00:01:08,346 --> 00:01:11,765 and you're not likely to live more than two or three years." 27 00:01:11,765 --> 00:01:14,729 Now, with the gravity of this doomsday diagnosis, 28 00:01:14,729 --> 00:01:17,129 it just sucked me in immediately, 29 00:01:17,129 --> 00:01:19,771 as if I began preparing myself as a patient 30 00:01:19,771 --> 00:01:23,868 to die according to the schedule that they had just given to me, 31 00:01:23,868 --> 00:01:26,508 until I met a patient named Verna in a waiting room, 32 00:01:26,508 --> 00:01:28,566 who became a dear friend, and she grabbed me one day 33 00:01:28,566 --> 00:01:30,560 and took me off to the medical library 34 00:01:30,560 --> 00:01:33,494 and did a bunch of research on these diagnoses and these diseases, 35 00:01:33,494 --> 00:01:36,014 and said, "Eric, these people who get this 36 00:01:36,014 --> 00:01:37,962 are normally in their '70s and '80s. 37 00:01:37,962 --> 00:01:41,073 They don't know anything about you. Wake up. 38 00:01:41,073 --> 00:01:44,195 Take control of your health and get on with your life." 39 00:01:44,195 --> 00:01:45,737 And I did. 40 00:01:45,737 --> 00:01:48,097 Now, these people making these proclamations to me 41 00:01:48,097 --> 00:01:49,423 were not bad people. 42 00:01:49,423 --> 00:01:51,984 In fact, these professionals were miracle workers, 43 00:01:51,984 --> 00:01:56,050 but they're working in a flawed, expensive system that's set up the wrong way. 44 00:01:56,050 --> 00:01:59,305 It's dependent on hospitals and clinics for our every care need. 45 00:01:59,305 --> 00:02:02,972 It's dependent on specialists who just look at parts of us. 46 00:02:02,972 --> 00:02:06,887 It's dependent on guesswork of diagnoses and drug cocktails, 47 00:02:06,887 --> 00:02:09,487 and so something either works or you die. 48 00:02:09,487 --> 00:02:13,695 And it's dependent on passive patients 49 00:02:13,695 --> 00:02:17,457 who just take it and don't ask any questions. 50 00:02:17,457 --> 00:02:19,019 Now the problem with this model 51 00:02:19,019 --> 00:02:21,505 is that it's unsustainable globally. 52 00:02:21,505 --> 00:02:23,459 It's unaffordable globally. 53 00:02:23,459 --> 00:02:26,946 We need to invent what I call a personal health system. 54 00:02:26,946 --> 00:02:29,269 So what does this personal health system look like, 55 00:02:29,269 --> 00:02:34,310 and what new technologies and roles is it going to entail? 56 00:02:34,310 --> 00:02:36,463 Now, I'm going to start by actually sharing with you 57 00:02:36,463 --> 00:02:38,359 a new friend of mine, Libby, 58 00:02:38,359 --> 00:02:41,073 somebody I've become quite attached to over the last six months. 59 00:02:41,073 --> 00:02:44,949 This is Libby, or actually, this is an ultrasound image of Libby. 60 00:02:44,949 --> 00:02:47,820 This is the kidney transplant I was never supposed to have. 61 00:02:47,820 --> 00:02:51,671 Now, this is an image that we shot a couple of weeks ago for today, 62 00:02:51,671 --> 00:02:53,611 and you'll notice, on the edge of this image, 63 00:02:53,611 --> 00:02:56,520 there's some dark spots there, which was really concerning to me. 64 00:02:56,520 --> 00:02:59,049 So we're going to actually do a live exam 65 00:02:59,049 --> 00:03:00,424 to sort of see how Libby's doing. 66 00:03:00,424 --> 00:03:03,142 This is not a wardrobe malfunction. I have to take my belt off here. 67 00:03:03,142 --> 00:03:05,276 Don't you in the front row worry or anything. 68 00:03:05,276 --> 00:03:06,558 (Laughter) 69 00:03:06,558 --> 00:03:10,285 I'm going to use a device from a company called Mobisante. 70 00:03:10,285 --> 00:03:11,759 This is a portable ultrasound. 71 00:03:11,759 --> 00:03:14,302 It can plug into a smartphone. It can plug into a tablet. 72 00:03:14,302 --> 00:03:16,432 Mobisante is up in Redmond, Washington, 73 00:03:16,432 --> 00:03:20,082 and they kindly trained me to actually do this on myself. 74 00:03:20,082 --> 00:03:22,287 They're not approved to do this. Patients are not approved to do this. 75 00:03:22,287 --> 00:03:25,098 This is a concept demo, so I want to make that clear. 76 00:03:25,098 --> 00:03:26,185 All right, I gotta gel up. 77 00:03:26,185 --> 00:03:30,636 Now the people in the front row are very nervous. (Laughter) 78 00:03:30,636 --> 00:03:34,681 And I want to actually introduce you to Dr. Batiuk, 79 00:03:34,681 --> 00:03:36,128 who's another friend of mine. 80 00:03:36,128 --> 00:03:40,014 He's up in Legacy Good Samaritan Hospital in Portland, Oregon. 81 00:03:40,014 --> 00:03:43,508 So let me just make sure. Hey, Dr. Batiuk. Can you hear me okay? 82 00:03:43,508 --> 00:03:45,684 And actually, can you see Libby? 83 00:03:45,684 --> 00:03:46,862 Thomas Batuik: Hi there, Eric. 84 00:03:46,862 --> 00:03:48,107 You look busy. How are you? 85 00:03:48,107 --> 00:03:50,835 Eric Dishman: I'm good. I'm just taking my clothes off 86 00:03:50,835 --> 00:03:53,404 in front of a few hundred people. It's wonderful. 87 00:03:53,404 --> 00:03:58,061 So I just wanted to see, is this the image you need to get? 88 00:03:58,061 --> 00:04:01,798 And I know you want to look and see if those spots are still there. 89 00:04:01,798 --> 00:04:04,527 TB: Okay. Well let's scan around a little bit here, 90 00:04:04,527 --> 00:04:05,802 give me a lay of the land. 91 00:04:05,802 --> 00:04:09,318 ED: All right.TB: Okay. Turn it a little bit inside, 92 00:04:09,318 --> 00:04:11,718 a little bit toward the middle for me. 93 00:04:11,718 --> 00:04:16,514 Okay, that's good. How about up a little bit? 94 00:04:16,514 --> 00:04:19,564 Okay, freeze that image. That's a good one for me. 95 00:04:19,564 --> 00:04:22,251 ED: All right. Now last week, when I did this, 96 00:04:22,251 --> 00:04:25,052 you had me measure that spot to the right. 97 00:04:25,052 --> 00:04:26,739 Should I do that again? 98 00:04:26,739 --> 00:04:27,783 TB: Yeah, let's do that. 99 00:04:27,783 --> 00:04:31,087 ED: All right. This is kind of hard to do 100 00:04:31,087 --> 00:04:33,258 with one hand on your belly and one hand on measuring, 101 00:04:33,258 --> 00:04:34,513 but I've got it, I think, 102 00:04:34,513 --> 00:04:37,064 and I'll save that image and send it to you. 103 00:04:37,064 --> 00:04:39,536 So tell me a little bit about what this dark spot means. 104 00:04:39,536 --> 00:04:41,641 It's not something I was very happy about. 105 00:04:41,641 --> 00:04:43,584 TB: Many people after a kidney transplant 106 00:04:43,584 --> 00:04:46,852 will develop a little fluid collection around the kidney. 107 00:04:46,852 --> 00:04:50,133 Most of the time it doesn't create any kind of mischief, 108 00:04:50,133 --> 00:04:52,541 but it does warrant looking at, 109 00:04:52,541 --> 00:04:55,516 so I'm happy we've got an opportunity to look at it today, 110 00:04:55,516 --> 00:04:58,444 make sure that it's not growing, it's not creating any problems. 111 00:04:58,444 --> 00:05:00,660 Based on the other images we have, 112 00:05:00,660 --> 00:05:03,044 I'm really happy how it looks today. 113 00:05:03,044 --> 00:05:05,441 ED: All right. Well, I guess we'll double check it when I come in. 114 00:05:05,441 --> 00:05:08,006 I've got my six month biopsy in a couple of weeks, 115 00:05:08,006 --> 00:05:09,715 and I'm going to let you do that in the clinic, 116 00:05:09,715 --> 00:05:12,155 because I don't think I can do that one on myself. 117 00:05:12,155 --> 00:05:14,800 TB: Good choice.ED: All right, thanks, Dr. Batiuk. 118 00:05:14,800 --> 00:05:16,931 All right. So what you're sort of seeing here 119 00:05:16,931 --> 00:05:19,039 is an example of disruptive technologies, 120 00:05:19,039 --> 00:05:22,235 of mobile, social and analytic technologies. 121 00:05:22,235 --> 00:05:25,146 These are the foundations of what's going to make personal health possible. 122 00:05:25,146 --> 00:05:27,731 Now there's really three pillars 123 00:05:27,731 --> 00:05:29,628 of this personal health I want to talk to you about now, 124 00:05:29,628 --> 00:05:33,420 and it's care anywhere, care networking and care customization. 125 00:05:33,420 --> 00:05:35,103 And you just saw a little bit of the first two 126 00:05:35,103 --> 00:05:36,644 with my interaction with Dr. Batiuk. 127 00:05:36,644 --> 00:05:39,524 So let's start with care anywhere. 128 00:05:39,524 --> 00:05:42,252 Humans invented the idea of hospitals and clinics 129 00:05:42,252 --> 00:05:46,152 in the 1780s. It is time to update our thinking. 130 00:05:46,152 --> 00:05:49,646 We have got to untether clinicians and patients 131 00:05:49,646 --> 00:05:52,264 from the notion of traveling to a special 132 00:05:52,264 --> 00:05:54,844 bricks-and-mortar place for all of our care, 133 00:05:54,844 --> 00:05:57,145 because these places are often the wrong tool, 134 00:05:57,145 --> 00:05:59,611 and the most expensive tool, for the job. 135 00:05:59,611 --> 00:06:03,163 And these are sometimes unsafe places to send our sickest patients, 136 00:06:03,163 --> 00:06:05,300 especially in an era of superbugs 137 00:06:05,300 --> 00:06:07,416 and hospital-acquired infections. 138 00:06:07,416 --> 00:06:10,298 And many countries are going to go brickless from the start 139 00:06:10,298 --> 00:06:12,264 because they're never going to be able to afford 140 00:06:12,264 --> 00:06:16,784 the mega-medicalplexes that a lot of the rest of the world has built. 141 00:06:16,784 --> 00:06:19,540 Now I personally learned that hospitals 142 00:06:19,540 --> 00:06:22,056 can be a very dangerous place at a young age. 143 00:06:22,056 --> 00:06:23,896 This was me in third grade. 144 00:06:23,896 --> 00:06:26,312 I broke my elbow very seriously, had to have surgery, 145 00:06:26,312 --> 00:06:28,639 worried that they were going to actually lose the arm. 146 00:06:28,639 --> 00:06:31,575 Recovering from the surgery in the hospital, I get bedsores. 147 00:06:31,575 --> 00:06:33,808 Those bedsores become infected, 148 00:06:33,808 --> 00:06:36,744 and they give me an antibiotic which I end up being allergic to, 149 00:06:36,744 --> 00:06:38,695 and now my whole body breaks out, 150 00:06:38,695 --> 00:06:41,255 and now all of those become infected. 151 00:06:41,255 --> 00:06:43,802 The longer I stayed in the hospital, the sicker I became, 152 00:06:43,802 --> 00:06:45,387 and the more expensive it became, 153 00:06:45,387 --> 00:06:48,732 and this happens to millions of people around the world every year. 154 00:06:48,732 --> 00:06:51,075 The future of personal health that I'm talking about 155 00:06:51,075 --> 00:06:55,533 says care must occur at home as the default model, 156 00:06:55,533 --> 00:06:57,013 not in a hospital or clinic. 157 00:06:57,013 --> 00:06:58,573 You have to earn your way into those places 158 00:06:58,573 --> 00:07:02,139 by being sick enough to use that tool for the job. 159 00:07:02,139 --> 00:07:04,245 Now the smartphones that we're already carrying 160 00:07:04,245 --> 00:07:07,971 can clearly have diagnostic devices like ultrasounds plugged into them, 161 00:07:07,971 --> 00:07:10,142 and a whole array of others, today, 162 00:07:10,142 --> 00:07:11,664 and as sensing is built into these, 163 00:07:11,664 --> 00:07:13,694 we'll be able to do vital signs monitor 164 00:07:13,694 --> 00:07:16,533 and behavioral monitoring like we've never had before. 165 00:07:16,533 --> 00:07:19,085 Many of us will have implantables that will actually look 166 00:07:19,085 --> 00:07:21,822 real-time at what's going on with our blood chemistry 167 00:07:21,822 --> 00:07:24,069 and in our proteins right now. 168 00:07:24,069 --> 00:07:26,764 Now the software is also getting smarter, right? 169 00:07:26,764 --> 00:07:29,861 Think about a coach, an agent online, 170 00:07:29,861 --> 00:07:31,997 that's going to help me do safe self-care. 171 00:07:31,997 --> 00:07:34,302 That same interaction that we just did with the ultrasound 172 00:07:34,302 --> 00:07:36,525 will likely have real-time image processing, 173 00:07:36,525 --> 00:07:38,670 and the device will say, "Up, down, left, right, 174 00:07:38,670 --> 00:07:41,326 ah, Eric, that's the perfect spot to send that image 175 00:07:41,326 --> 00:07:43,175 off to your doctor." 176 00:07:43,175 --> 00:07:45,382 Now, if we've got all these networked devices 177 00:07:45,382 --> 00:07:47,762 that are helping us to do care anywhere, 178 00:07:47,762 --> 00:07:49,557 it stands to reason that we also need a team 179 00:07:49,557 --> 00:07:51,544 to be able to interact with all of that stuff, 180 00:07:51,544 --> 00:07:54,165 and that leads to the second pillar I want to talk about, 181 00:07:54,165 --> 00:07:55,737 care networking. 182 00:07:55,737 --> 00:07:58,883 We have got to go beyond this paradigm 183 00:07:58,883 --> 00:08:02,534 of isolated specialists doing parts care 184 00:08:02,534 --> 00:08:06,753 to multidisciplinary teams doing person care. 185 00:08:06,753 --> 00:08:10,149 Uncoordinated care today is expensive at best, 186 00:08:10,149 --> 00:08:12,244 and it is deadly at worst. 187 00:08:12,244 --> 00:08:14,647 Eighty percent of medical errors are actually caused 188 00:08:14,647 --> 00:08:16,595 by communication and coordination problems 189 00:08:16,595 --> 00:08:18,916 amongst medical team members. 190 00:08:18,916 --> 00:08:21,155 I had my own heart scare years ago in graduate school, 191 00:08:21,155 --> 00:08:23,269 when we're under treatment for the kidney, 192 00:08:23,269 --> 00:08:25,883 and suddenly, they're like, "Oh, we think you have a heart problem." 193 00:08:25,883 --> 00:08:27,768 And I have these palpitations that are showing up. 194 00:08:27,768 --> 00:08:30,274 They put me through five weeks of tests -- 195 00:08:30,274 --> 00:08:33,773 very expensive, very scary -- before the nurse finally notices 196 00:08:33,773 --> 00:08:35,869 the piece of the paper, my meds list 197 00:08:35,869 --> 00:08:37,391 that I've been carrying to every single appointment, 198 00:08:37,391 --> 00:08:39,577 and says, "Oh my gosh." 199 00:08:39,577 --> 00:08:41,546 Three different specialists had prescribed 200 00:08:41,546 --> 00:08:43,585 three different versions of the same drug to me. 201 00:08:43,585 --> 00:08:47,860 I did not have a heart problem. I had an overdose problem. 202 00:08:47,860 --> 00:08:50,673 I had a care coordination problem. 203 00:08:50,673 --> 00:08:53,439 And this happens to millions of people every year. 204 00:08:53,439 --> 00:08:57,073 I want to use technology that we're all working on and making happen 205 00:08:57,073 --> 00:09:00,805 to make health care a coordinated team sport. 206 00:09:00,805 --> 00:09:03,107 Now this is the most frightening thing to me. 207 00:09:03,107 --> 00:09:07,365 Out of all the care I've had in hospitals and clinics around the world, 208 00:09:07,365 --> 00:09:10,712 the first time I've ever had a true team-based care experience 209 00:09:10,712 --> 00:09:13,483 was at Legacy Good Sam these last six months 210 00:09:13,483 --> 00:09:14,541 for me to go get this. 211 00:09:14,541 --> 00:09:17,510 And this is a picture of my graduation team from Legacy. 212 00:09:17,510 --> 00:09:20,020 There's a couple of the folks here. You'll recognize Dr. Batiuk. 213 00:09:20,020 --> 00:09:22,636 We just talked to him. Here's Jenny, one of the nurses, 214 00:09:22,636 --> 00:09:24,948 Allison, who helped manage the transplant list, 215 00:09:24,948 --> 00:09:27,092 and a dozen other people who aren't pictured, 216 00:09:27,092 --> 00:09:29,628 a pharmacist, a psychologist, a nutritionist, 217 00:09:29,628 --> 00:09:31,870 even a financial counselor, Lisa, 218 00:09:31,870 --> 00:09:34,597 who helped us deal with all the insurance hassles. 219 00:09:34,597 --> 00:09:37,196 I wept the day I graduated. 220 00:09:37,196 --> 00:09:38,823 I should have been happy, because I was so well 221 00:09:38,823 --> 00:09:40,476 that I could go back to my normal doctors, 222 00:09:40,476 --> 00:09:43,771 but I wept because I was so actually connected to this team. 223 00:09:43,771 --> 00:09:45,367 And here's the most important part. 224 00:09:45,367 --> 00:09:48,406 The other people in this picture are me and my wife, Ashley. 225 00:09:48,406 --> 00:09:52,508 Legacy trained us on how to do care for me at home 226 00:09:52,508 --> 00:09:55,252 so that they could offload the hospitals and clinics. 227 00:09:55,252 --> 00:09:57,716 That's the only way that the model works. 228 00:09:57,716 --> 00:09:59,532 My team is actually working in China 229 00:09:59,532 --> 00:10:01,271 on one of these self-care models 230 00:10:01,271 --> 00:10:03,644 for a project we called Age-Friendly Cities. 231 00:10:03,644 --> 00:10:05,438 We're trying to help build a social network 232 00:10:05,438 --> 00:10:07,922 that can help track and train the care of seniors 233 00:10:07,922 --> 00:10:09,429 caring for themselves 234 00:10:09,429 --> 00:10:11,834 as well as the care provided by their family members 235 00:10:11,834 --> 00:10:14,316 or volunteer community health workers, 236 00:10:14,316 --> 00:10:16,572 as well as have an exchange network online, 237 00:10:16,572 --> 00:10:19,900 where, for example, I can donate three hours of care a day to your mom, 238 00:10:19,900 --> 00:10:22,770 if somebody else can help me with transportation to meals, 239 00:10:22,770 --> 00:10:25,428 and we exchange all of that online. 240 00:10:25,428 --> 00:10:27,818 The most important point I want to make to you about this 241 00:10:27,818 --> 00:10:31,132 is the sacred and somewhat over-romanticized 242 00:10:31,132 --> 00:10:33,906 doctor-patient one-on-one 243 00:10:33,906 --> 00:10:36,022 is a relic of the past. 244 00:10:36,022 --> 00:10:38,474 The future of health care is smart teams, 245 00:10:38,474 --> 00:10:42,043 and you'd better be on that team for yourself. 246 00:10:42,043 --> 00:10:44,335 Now, the last thing that I want to talk to you about 247 00:10:44,335 --> 00:10:45,575 is care customization, 248 00:10:45,575 --> 00:10:48,500 because if you've got care anywhere and you've got care networking, 249 00:10:48,500 --> 00:10:51,308 those are going to go a long way towards improving our health care system, 250 00:10:51,308 --> 00:10:54,341 but there's still too much guesswork. 251 00:10:54,341 --> 00:10:58,429 Randomized clinical trials were actually invented in 1948 252 00:10:58,429 --> 00:11:01,811 to help invent the drugs that cured tuberculosis, 253 00:11:01,811 --> 00:11:04,108 and those are important things, don't get me wrong. 254 00:11:04,108 --> 00:11:05,973 These population studies that we've done have created 255 00:11:05,973 --> 00:11:08,552 tons of miracle drugs that have saved millions of lives, 256 00:11:08,552 --> 00:11:10,987 but the problem is that health care 257 00:11:10,987 --> 00:11:15,067 is treating us as averages, not unique individuals, 258 00:11:15,067 --> 00:11:16,614 because at the end of the day, 259 00:11:16,614 --> 00:11:19,869 the patient is not the same thing as the population 260 00:11:19,869 --> 00:11:23,147 who are studied. That's what's leading to the guesswork. 261 00:11:23,147 --> 00:11:24,985 The technologies that are coming, 262 00:11:24,985 --> 00:11:27,074 high-performance computing, analytics, 263 00:11:27,074 --> 00:11:28,991 big data that everyone's talking about, 264 00:11:28,991 --> 00:11:31,910 will allow us to build predictive models for each of us 265 00:11:31,910 --> 00:11:33,864 as individual patients. 266 00:11:33,864 --> 00:11:38,323 And the magic here is, experiment on my avatar 267 00:11:38,323 --> 00:11:43,124 in software, not my body in suffering. 268 00:11:43,124 --> 00:11:45,607 Now, I've had two examples I want to quickly share with you 269 00:11:45,607 --> 00:11:48,166 of this kind of care customization on my own journey. 270 00:11:48,166 --> 00:11:51,343 The first was quite simple. I finally realized some years ago 271 00:11:51,343 --> 00:11:55,220 that all my medical teams were optimizing my treatment for longevity. 272 00:11:55,220 --> 00:11:57,974 It's like a badge of honor to see how long they can get the patient to live. 273 00:11:57,974 --> 00:12:01,041 I was optimizing my life for quality of life, 274 00:12:01,041 --> 00:12:05,421 and quality of life for me means time in snow. 275 00:12:05,421 --> 00:12:08,251 So on my chart, I forced them to put, "Patient goal: 276 00:12:08,251 --> 00:12:12,017 low doses of drugs over longer periods of time, 277 00:12:12,017 --> 00:12:15,263 side effects friendly to skiing." 278 00:12:15,263 --> 00:12:17,915 And I think that's why I achieved longevity. 279 00:12:17,915 --> 00:12:20,147 I think that time-in-snow therapy was as important 280 00:12:20,147 --> 00:12:22,280 as the pharmaceuticals that I had. 281 00:12:22,280 --> 00:12:24,595 Now the second example of customization -- and by the way, 282 00:12:24,595 --> 00:12:26,491 you can't customize care if you don't know your own goals, 283 00:12:26,491 --> 00:12:29,860 so health care can't know those until you know your own health care goals. 284 00:12:29,860 --> 00:12:31,572 But the second example I want to give you is, 285 00:12:31,572 --> 00:12:33,359 I happened to be an early guinea pig, 286 00:12:33,359 --> 00:12:36,963 and I got very lucky to have my whole genome sequenced. 287 00:12:36,963 --> 00:12:39,285 Now it took about two weeks of processing 288 00:12:39,285 --> 00:12:41,409 on Intel's highest-end servers to make this happen, 289 00:12:41,409 --> 00:12:44,441 and another six months of human and computing labor 290 00:12:44,441 --> 00:12:47,003 to make sense of all of that data. 291 00:12:47,003 --> 00:12:50,053 And at the end of all of that, they said, "Yes, 292 00:12:50,053 --> 00:12:52,491 those diagnoses of that clash of medical titans 293 00:12:52,491 --> 00:12:54,875 all of those years ago were wrong, 294 00:12:54,875 --> 00:12:57,149 and we have a better path forward." 295 00:12:57,149 --> 00:12:59,534 The future that Intel's working on now is to figure out 296 00:12:59,534 --> 00:13:01,731 how to make that computing for personalized medicine 297 00:13:01,731 --> 00:13:05,484 go from months and weeks to even hours, 298 00:13:05,484 --> 00:13:07,155 and make this kind of tool available, 299 00:13:07,155 --> 00:13:10,973 not just in the mainframes of tier-one research hospitals around the world, 300 00:13:10,973 --> 00:13:13,779 but in the mainstream -- every patient, every clinic 301 00:13:13,779 --> 00:13:15,928 with access to whole genome sequencing. 302 00:13:15,928 --> 00:13:18,271 And I tell you, this kind of care customization 303 00:13:18,271 --> 00:13:21,097 for everything from your goals to your genetics 304 00:13:21,097 --> 00:13:22,862 will be the most game-changing transformation 305 00:13:22,862 --> 00:13:26,444 that we witness in health care during our lifetime. 306 00:13:26,444 --> 00:13:29,378 So these three pillars of personal health, 307 00:13:29,378 --> 00:13:32,236 care anywhere, care networking, care customization, 308 00:13:32,236 --> 00:13:33,483 are happening in pieces now, 309 00:13:33,483 --> 00:13:37,266 but this vision will completely fail if we don't step up 310 00:13:37,266 --> 00:13:41,267 as caregivers and as patients to take on new roles. 311 00:13:41,267 --> 00:13:42,920 It's what my friend Verna said: 312 00:13:42,920 --> 00:13:45,041 Wake up and take control of your health. 313 00:13:45,041 --> 00:13:46,630 Because at the end of the day these technologies 314 00:13:46,630 --> 00:13:50,527 are simply about people caring for other people 315 00:13:50,527 --> 00:13:53,938 and ourselves in some powerful new ways. 316 00:13:53,938 --> 00:13:55,498 And it's in that spirit that I want to introduce you 317 00:13:55,498 --> 00:13:58,049 to one last friend, very quickly. 318 00:13:58,049 --> 00:14:01,916 Tracey Gamley stepped up to give me the impossible kidney 319 00:14:01,916 --> 00:14:06,597 that I was never supposed to have. 320 00:14:06,597 --> 00:14:22,276 (Applause) 321 00:14:22,992 --> 00:14:27,349 So Tracey, just tell us a little bit quickly about what the donor experience was like with you. 322 00:14:27,349 --> 00:14:29,233 Tracey Gamley: For me, it was really easy. 323 00:14:29,233 --> 00:14:31,184 I only had one night in the hospital. 324 00:14:31,184 --> 00:14:32,888 The surgery was done laparoscopically, 325 00:14:32,888 --> 00:14:36,094 so I have just five very small scars on my abdomen, 326 00:14:36,094 --> 00:14:38,133 and I had four weeks away from work 327 00:14:38,133 --> 00:14:40,016 and went back to doing everything I'd done before 328 00:14:40,016 --> 00:14:41,532 without any changes. 329 00:14:41,532 --> 00:14:44,518 ED: Well, I probably will never get a chance to say this to you 330 00:14:44,518 --> 00:14:46,977 in such a large audience ever again. 331 00:14:46,977 --> 00:14:49,764 So "thank you" feel likes a really trite word, 332 00:14:49,764 --> 00:14:52,226 but thank you from the bottom of my heart for saving my life. 333 00:14:52,226 --> 00:14:58,109 (Applause) 334 00:14:58,109 --> 00:15:00,558 This TED stage and all of the TED stages 335 00:15:00,558 --> 00:15:03,284 are often about celebrating innovation 336 00:15:03,284 --> 00:15:04,393 and celebrating new technologies, 337 00:15:04,393 --> 00:15:06,678 and I've done that here today, 338 00:15:06,678 --> 00:15:09,007 and I've seen amazing things coming from TED speakers, 339 00:15:09,007 --> 00:15:13,040 I mean, my gosh, artificial kidneys, even printable kidneys, that are coming. 340 00:15:13,040 --> 00:15:16,221 But until such time that these amazing technologies 341 00:15:16,221 --> 00:15:19,259 are available to all of us, and even when they are, 342 00:15:19,259 --> 00:15:23,686 it's up to us to care for, and even save, one another. 343 00:15:23,686 --> 00:15:26,124 I hope you will go out and make personal health happen 344 00:15:26,124 --> 00:15:30,052 for yourselves and for everyone. Thanks so much. 345 00:15:30,052 --> 00:15:34,699 (Applause)