1 00:00:00,940 --> 00:00:04,418 I want to share with you something my father taught me: 2 00:00:05,321 --> 00:00:07,718 no condition is permanent. 3 00:00:09,283 --> 00:00:12,167 It's a lesson he shared with me again and again, 4 00:00:12,191 --> 00:00:15,738 and I learned it to be true the hard way. 5 00:00:16,590 --> 00:00:19,507 Here I am in my fourth-grade class. 6 00:00:19,531 --> 00:00:23,265 This is my yearbook picture taken in my class in school 7 00:00:23,289 --> 00:00:25,001 in Monrovia, Liberia. 8 00:00:25,514 --> 00:00:29,915 My parents migrated from India to West Africa in the 1970s, 9 00:00:29,939 --> 00:00:32,387 and I had the privilege of growing up there. 10 00:00:33,772 --> 00:00:34,922 I was nine years old, 11 00:00:34,946 --> 00:00:36,708 I loved kicking around a soccer ball, 12 00:00:36,732 --> 00:00:38,979 and I was a total math and science geek. 13 00:00:39,003 --> 00:00:43,231 I was living the kind of life that, really, any child would dream of. 14 00:00:45,280 --> 00:00:47,906 But no condition is permanent. 15 00:00:48,346 --> 00:00:51,269 On Christmas Eve in 1989, 16 00:00:51,293 --> 00:00:53,824 civil war erupted in Liberia. 17 00:00:55,082 --> 00:00:57,036 The war started in the rural countryside, 18 00:00:57,060 --> 00:01:00,767 and within months, rebel armies had marched towards our hometown. 19 00:01:00,791 --> 00:01:02,461 My school shut down, 20 00:01:02,485 --> 00:01:05,957 and when the rebel armies captured the only international airport, 21 00:01:05,981 --> 00:01:08,466 people started panicking and fleeing. 22 00:01:09,750 --> 00:01:13,108 My mom came knocking one morning and said, "Raj, pack your things -- 23 00:01:13,132 --> 00:01:14,421 we have to go." 24 00:01:14,995 --> 00:01:17,224 We were rushed to the center of town, 25 00:01:17,248 --> 00:01:21,421 and there on a tarmac, we were split into two lines. 26 00:01:22,633 --> 00:01:25,126 I stood with my family in one line, 27 00:01:25,150 --> 00:01:27,550 and we were stuffed into the cargo hatch 28 00:01:27,574 --> 00:01:28,755 of a rescue plane. 29 00:01:29,374 --> 00:01:32,261 And there on a bench, I was sitting with my heart racing. 30 00:01:32,285 --> 00:01:34,704 As I looked out the open hatch, 31 00:01:34,728 --> 00:01:37,567 I saw hundreds of Liberians in another line, 32 00:01:37,591 --> 00:01:39,527 children strapped to their backs. 33 00:01:40,514 --> 00:01:43,360 When they tried to jump in with us, 34 00:01:43,384 --> 00:01:45,743 I watched soldiers restrain them. 35 00:01:46,691 --> 00:01:48,404 They were not allowed to flee. 36 00:01:49,177 --> 00:01:50,619 We were the lucky ones. 37 00:01:51,345 --> 00:01:53,101 We lost what we had, 38 00:01:53,125 --> 00:01:55,537 but we resettled in America, 39 00:01:55,561 --> 00:01:58,692 and as immigrants, we benefitted from the community of supporters 40 00:01:58,716 --> 00:02:00,054 that rallied around us. 41 00:02:01,932 --> 00:02:03,735 They took my family into their home, 42 00:02:03,759 --> 00:02:05,086 they mentored me. 43 00:02:06,096 --> 00:02:08,239 And they helped my dad start a clothing shop. 44 00:02:08,263 --> 00:02:10,632 I'd visit my father on weekends as a teenager 45 00:02:10,656 --> 00:02:13,110 to help him sell sneakers and jeans. 46 00:02:13,134 --> 00:02:15,467 And every time business would get bad, 47 00:02:15,491 --> 00:02:17,974 he'd remind me of that mantra: 48 00:02:17,998 --> 00:02:19,923 no condition is permanent. 49 00:02:20,793 --> 00:02:25,222 That mantra and my parents' persistence and that community of supporters 50 00:02:25,246 --> 00:02:27,571 made it possible for me to go through college 51 00:02:27,595 --> 00:02:29,312 and eventually to medical school. 52 00:02:30,365 --> 00:02:33,104 I'd once had my hopes crushed in a war, 53 00:02:34,037 --> 00:02:35,305 but because of them, 54 00:02:35,329 --> 00:02:38,194 I had a chance to pursue my dream to become a doctor. 55 00:02:39,046 --> 00:02:41,135 My condition had changed. 56 00:02:42,789 --> 00:02:45,426 It had been 15 years since I escaped that airfield, 57 00:02:45,450 --> 00:02:48,219 but the memory of those two lines had not escaped my mind. 58 00:02:48,243 --> 00:02:50,763 I was a medical student in my mid-20s, 59 00:02:50,787 --> 00:02:52,021 and I wanted to go back 60 00:02:52,045 --> 00:02:54,915 to see if I could serve the people we'd left behind. 61 00:02:55,785 --> 00:02:56,935 But when I got back, 62 00:02:56,959 --> 00:02:58,786 what I found was utter destruction. 63 00:02:58,810 --> 00:03:00,931 The war had left us with just 51 doctors 64 00:03:00,955 --> 00:03:03,393 to serve a country of four million people. 65 00:03:03,417 --> 00:03:06,900 It would be like the city of San Francisco having just 10 doctors. 66 00:03:07,409 --> 00:03:10,484 So if you got sick in the city where those few doctors remain, 67 00:03:10,508 --> 00:03:11,957 you might stand a chance. 68 00:03:11,981 --> 00:03:15,847 But if you got sick in the remote, rural rainforest communities, 69 00:03:15,871 --> 00:03:18,236 where you could be days from the nearest clinic -- 70 00:03:18,260 --> 00:03:22,001 I was seeing my patients die from conditions no one should die from, 71 00:03:22,025 --> 00:03:24,168 all because they were getting to me too late. 72 00:03:24,192 --> 00:03:27,614 Imagine you have a two-year-old who wakes up one morning with a fever, 73 00:03:27,638 --> 00:03:30,042 and you realize she could have malaria, 74 00:03:30,066 --> 00:03:33,067 and you know the only way to get her the medicine she needs 75 00:03:33,091 --> 00:03:34,944 would be to take her to the riverbed, 76 00:03:34,968 --> 00:03:37,043 get in a canoe, paddle to the other side 77 00:03:37,067 --> 00:03:39,682 and then walk for up to two days through the forest 78 00:03:39,706 --> 00:03:41,513 just to reach the nearest clinic. 79 00:03:42,157 --> 00:03:45,276 One billion people live in the world's most remote communities, 80 00:03:45,300 --> 00:03:48,945 and despite the advances we've made in modern medicine and technology, 81 00:03:48,969 --> 00:03:51,668 our innovations are not reaching the last mile. 82 00:03:51,692 --> 00:03:53,653 These communities have been left behind, 83 00:03:53,677 --> 00:03:55,876 because they've been thought too hard to reach 84 00:03:55,900 --> 00:03:57,450 and too difficult to serve. 85 00:03:58,282 --> 00:03:59,969 Illness is universal; 86 00:03:59,993 --> 00:04:02,198 access to care is not. 87 00:04:02,222 --> 00:04:04,784 And realizing this lit a fire in my soul. 88 00:04:04,808 --> 00:04:09,066 No one should die because they live too far from a doctor or clinic. 89 00:04:09,090 --> 00:04:11,535 No condition should be permanent. 90 00:04:13,361 --> 00:04:16,004 And help in this case didn't come from the outside, 91 00:04:16,028 --> 00:04:17,681 it actually came from within. 92 00:04:17,705 --> 00:04:19,706 It came from the communities themselves. 93 00:04:20,178 --> 00:04:21,537 Meet Musu. 94 00:04:21,561 --> 00:04:22,946 Way out in rural Liberia, 95 00:04:22,970 --> 00:04:27,139 where most girls have not had a chance to finish primary school, 96 00:04:27,163 --> 00:04:28,686 Musu had been persistent. 97 00:04:30,093 --> 00:04:32,414 At the age of 18, she completed high school, 98 00:04:32,438 --> 00:04:34,264 and she came back to her community. 99 00:04:34,738 --> 00:04:37,410 She saw that none of the children were getting treatment 100 00:04:37,434 --> 00:04:39,561 for the diseases they needed treatment for -- 101 00:04:39,585 --> 00:04:41,905 deadly diseases, like malaria and pneumonia. 102 00:04:41,929 --> 00:04:44,046 So she signed up to be a volunteer. 103 00:04:45,839 --> 00:04:49,480 There are millions of volunteers like Musu in rural parts around our world, 104 00:04:49,504 --> 00:04:51,277 and we got to thinking -- 105 00:04:51,301 --> 00:04:54,785 community members like Musu could actually help us solve a puzzle. 106 00:04:56,103 --> 00:04:58,780 Our health care system is structured in such a way 107 00:04:58,804 --> 00:05:02,512 that the work of diagnosing disease and prescribing medicines 108 00:05:02,536 --> 00:05:05,644 is limited to a team of nurses and doctors like me. 109 00:05:06,418 --> 00:05:09,063 But nurses and doctors are concentrated in cities, 110 00:05:09,087 --> 00:05:12,423 so rural communities like Musu's have been left behind. 111 00:05:12,902 --> 00:05:14,657 So we started asking some questions: 112 00:05:14,681 --> 00:05:17,214 What if we could reorganize the medical care system? 113 00:05:17,238 --> 00:05:20,156 What if we could have community members like Musu 114 00:05:20,180 --> 00:05:23,457 be a part or even be the center of our medical team? 115 00:05:23,481 --> 00:05:27,406 What if Musu could help us bring health care from clinics in cities 116 00:05:27,430 --> 00:05:29,554 to the doorsteps of her neighbors? 117 00:05:31,141 --> 00:05:33,236 Musu was 48 when I met her. 118 00:05:34,016 --> 00:05:37,069 And despite her amazing talent and grit, 119 00:05:37,093 --> 00:05:40,294 she hadn't had a paying job in 30 years. 120 00:05:41,463 --> 00:05:43,849 So what if technology could support her? 121 00:05:44,384 --> 00:05:48,678 What if we could invest in her with real training, 122 00:05:48,702 --> 00:05:50,982 equip her with real medicines, 123 00:05:51,828 --> 00:05:55,054 and have her have a real job? 124 00:05:56,404 --> 00:06:00,868 Well, in 2007, I was trying to answer these questions, 125 00:06:00,892 --> 00:06:03,465 and my wife and I were getting married that year. 126 00:06:04,100 --> 00:06:08,593 We asked our relatives to forgo the wedding registry gifts 127 00:06:08,617 --> 00:06:10,167 and instead donate some money 128 00:06:10,191 --> 00:06:13,432 so we could have some start-up money to launch a nonprofit. 129 00:06:14,118 --> 00:06:16,555 I promise you, I'm a lot more romantic than that. 130 00:06:16,579 --> 00:06:17,729 (Laughter) 131 00:06:18,163 --> 00:06:20,556 We ended up raising $6,000, 132 00:06:20,580 --> 00:06:22,708 teamed up with some Liberians and Americans 133 00:06:22,732 --> 00:06:25,470 and launched a nonprofit called Last Mile Health. 134 00:06:25,494 --> 00:06:30,397 Our goal is to bring a health worker within reach of everyone, everywhere. 135 00:06:30,421 --> 00:06:32,355 We designed a three-step process -- 136 00:06:32,379 --> 00:06:33,843 train, equip and pay -- 137 00:06:33,867 --> 00:06:37,224 to invest more deeply in volunteers like Musu 138 00:06:37,248 --> 00:06:38,847 to become paraprofessionals, 139 00:06:38,871 --> 00:06:41,045 to become community health workers. 140 00:06:41,069 --> 00:06:45,626 First we trained Musu to prevent, diagnose and treat 141 00:06:45,650 --> 00:06:49,359 the top 10 diseases afflicting families in her village. 142 00:06:49,903 --> 00:06:53,157 A nurse supervisor visited her every month to coach her. 143 00:06:53,883 --> 00:06:56,424 We equipped her with modern medical technology, 144 00:06:56,448 --> 00:06:59,818 like this $1 malaria rapid test, 145 00:06:59,842 --> 00:07:03,571 and put it in a backpack full of medicines like this 146 00:07:03,595 --> 00:07:05,952 to treat infections like pneumonia, 147 00:07:06,590 --> 00:07:08,157 and crucially, 148 00:07:08,181 --> 00:07:12,469 a smartphone, to help her track and report on epidemics. 149 00:07:13,340 --> 00:07:16,437 Last, we recognized the dignity in Musu's work. 150 00:07:16,461 --> 00:07:18,894 With the Liberian government, we created a contract, 151 00:07:18,918 --> 00:07:20,204 paid her 152 00:07:20,228 --> 00:07:22,321 and gave her the chance to have a real job. 153 00:07:22,345 --> 00:07:23,514 And she's amazing. 154 00:07:23,538 --> 00:07:27,024 Musu has learned over 30 medical skills, 155 00:07:27,048 --> 00:07:29,807 from screening children for malnutrition, 156 00:07:29,831 --> 00:07:33,304 to assessing the cause of a child's cough with a smartphone, 157 00:07:33,328 --> 00:07:36,449 to supporting people with HIV 158 00:07:36,473 --> 00:07:40,270 and providing follow-up care to patients who've lost their limbs. 159 00:07:41,965 --> 00:07:44,050 Working as part of our team, 160 00:07:44,074 --> 00:07:45,599 working as paraprofessionals, 161 00:07:45,623 --> 00:07:47,852 community health workers can help ensure 162 00:07:47,876 --> 00:07:50,173 that a lot of what your family doctor would do 163 00:07:50,197 --> 00:07:54,017 reaches the places that most family doctors could never go. 164 00:07:54,041 --> 00:07:56,982 One of my favorite things to do is to care for patients 165 00:07:57,006 --> 00:07:58,455 with community health workers. 166 00:07:58,479 --> 00:08:00,792 So last year I was visiting A.B., 167 00:08:00,816 --> 00:08:04,455 and like Musu, A.B. had had a chance to go to school. 168 00:08:04,479 --> 00:08:07,556 He was in middle school, in the eighth grade, 169 00:08:07,580 --> 00:08:08,846 when his parents died. 170 00:08:08,870 --> 00:08:11,436 He became an orphan and had to drop out. 171 00:08:12,919 --> 00:08:17,327 Last year, we hired and trained A.B. as a community health worker. 172 00:08:18,215 --> 00:08:21,081 And while he was making door to door house calls, 173 00:08:21,105 --> 00:08:23,328 he met this young boy named Prince, 174 00:08:23,352 --> 00:08:26,625 whose mother had had trouble breastfeeding him, 175 00:08:26,649 --> 00:08:29,861 and by the age of six months, Prince had started to waste away. 176 00:08:29,885 --> 00:08:33,494 A.B. had just been taught how to use this color-coded measuring tape 177 00:08:33,518 --> 00:08:37,064 that wraps around the upper arm of a child to diagnose malnutrition. 178 00:08:37,088 --> 00:08:39,479 A.B. noticed that Prince was in the red zone, 179 00:08:39,503 --> 00:08:41,394 which meant he had to be hospitalized. 180 00:08:41,418 --> 00:08:44,060 So A.B. took Prince and his mother to the river, 181 00:08:44,084 --> 00:08:45,251 got in a canoe 182 00:08:45,275 --> 00:08:47,935 and paddled for four hours to get to the hospital. 183 00:08:47,959 --> 00:08:50,164 Later, after Prince was discharged, 184 00:08:50,982 --> 00:08:55,078 A.B. taught mom how to feed baby a food supplement. 185 00:08:55,863 --> 00:08:57,902 A few months ago, 186 00:08:57,926 --> 00:09:01,142 A.B. took me to visit Prince, and he's a chubby little guy. 187 00:09:01,166 --> 00:09:02,297 (Laughter) 188 00:09:02,321 --> 00:09:05,493 He's meeting his milestones, he's pulled himself up to a stand, 189 00:09:05,517 --> 00:09:07,474 and is even starting to say a few words. 190 00:09:07,498 --> 00:09:09,997 I'm so inspired by these community health workers. 191 00:09:10,021 --> 00:09:12,309 I often ask them why they do what they do, 192 00:09:12,333 --> 00:09:14,067 and when I asked A.B., 193 00:09:14,954 --> 00:09:18,929 he said, "Doc, since I dropped out of school, this is the first time 194 00:09:18,953 --> 00:09:21,332 I'm having a chance to hold a pen to write. 195 00:09:22,036 --> 00:09:24,306 My brain is getting fresh." 196 00:09:26,104 --> 00:09:29,782 The stories of A.B. and Musu have taught me something fundamental 197 00:09:29,806 --> 00:09:31,114 about being human. 198 00:09:32,276 --> 00:09:34,332 Our will to serve others 199 00:09:35,429 --> 00:09:38,805 can actually help us transform our own conditions. 200 00:09:39,712 --> 00:09:43,806 I was so moved by how powerful the will to serve our neighbors can be 201 00:09:43,830 --> 00:09:45,128 a few years ago, 202 00:09:46,004 --> 00:09:48,007 when we faced a global catastrophe. 203 00:09:48,660 --> 00:09:50,362 In December 2013, 204 00:09:50,386 --> 00:09:53,961 something happened in the rainforests across the border from us in Guinea. 205 00:09:53,985 --> 00:09:58,585 A toddler named Emile fell sick with vomiting, fever and diarrhea. 206 00:09:58,609 --> 00:10:00,918 He lived in an area where the roads were sparse 207 00:10:00,942 --> 00:10:03,848 and there had been massive shortages of health workers. 208 00:10:04,832 --> 00:10:05,988 Emile died, 209 00:10:06,012 --> 00:10:07,869 and a few weeks later his sister died, 210 00:10:07,893 --> 00:10:09,813 and a few weeks later his mother died. 211 00:10:09,837 --> 00:10:13,012 And this disease would spread from one community to another. 212 00:10:13,036 --> 00:10:15,061 And it wasn't until three months later 213 00:10:15,085 --> 00:10:17,867 that the world recognized this as Ebola. 214 00:10:18,304 --> 00:10:21,002 When every minute counted, we had already lost months, 215 00:10:21,026 --> 00:10:24,479 and by then the virus had spread like wildfire all across West Africa, 216 00:10:24,503 --> 00:10:26,529 and eventually to other parts of the world. 217 00:10:26,553 --> 00:10:29,851 Businesses shut down, airlines started canceling routes. 218 00:10:29,875 --> 00:10:31,291 At the height of the crisis, 219 00:10:31,315 --> 00:10:35,760 when we were told that 1.4 million people could be infected, 220 00:10:35,784 --> 00:10:39,287 when we were told that most of them would die, 221 00:10:39,311 --> 00:10:41,725 when we had nearly lost all hope, 222 00:10:43,678 --> 00:10:46,550 I remember standing with a group of health workers 223 00:10:46,574 --> 00:10:49,332 in the rainforest where an outbreak had just happened. 224 00:10:49,356 --> 00:10:52,345 We were helping train and equip them to put on the masks, 225 00:10:52,369 --> 00:10:54,409 the gloves and the gowns that they needed 226 00:10:54,433 --> 00:10:56,428 to keep themselves safe from the virus 227 00:10:56,452 --> 00:10:58,760 while they were serving their patients. 228 00:10:58,784 --> 00:11:01,085 I remember the fear in their eyes. 229 00:11:02,492 --> 00:11:07,078 And I remember staying up at night, terrified if I'd made the right call 230 00:11:08,519 --> 00:11:09,908 to keep them in the field. 231 00:11:10,757 --> 00:11:14,642 When Ebola threatened to bring humanity to its knees, 232 00:11:15,496 --> 00:11:18,569 Liberia's community health workers didn't surrender to fear. 233 00:11:19,779 --> 00:11:22,107 They did what they had always done: 234 00:11:22,131 --> 00:11:25,085 they answered the call to serve their neighbors. 235 00:11:25,586 --> 00:11:29,354 Community members across Liberia learned the symptoms of Ebola, 236 00:11:29,378 --> 00:11:32,931 teamed up with nurses and doctors to go door-to-door to find the sick 237 00:11:32,955 --> 00:11:34,511 and get them into care. 238 00:11:34,535 --> 00:11:37,945 They tracked thousands of people who had been exposed to the virus 239 00:11:37,969 --> 00:11:40,392 and helped break the chain of transmission. 240 00:11:40,416 --> 00:11:43,726 Some ten thousand community health workers risked their own lives 241 00:11:43,750 --> 00:11:46,958 to help hunt down this virus and stop it in its tracks. 242 00:11:47,527 --> 00:11:53,412 (Applause) 243 00:11:54,696 --> 00:11:58,206 Today, Ebola has come under control in West Africa, 244 00:11:58,230 --> 00:11:59,851 and we've learned a few things. 245 00:12:00,349 --> 00:12:02,947 We've learned that blind spots in rural health care 246 00:12:02,971 --> 00:12:04,769 can lead to hot spots of disease, 247 00:12:04,793 --> 00:12:07,209 and that places all of us at greater risk. 248 00:12:07,702 --> 00:12:10,394 We've learned that the most efficient emergency system 249 00:12:10,418 --> 00:12:12,446 is actually an everyday system, 250 00:12:12,470 --> 00:12:15,196 and that system has to reach all communities, 251 00:12:15,220 --> 00:12:17,495 including rural communities like Emile's. 252 00:12:18,540 --> 00:12:19,691 And most of all, 253 00:12:19,715 --> 00:12:23,176 we've learned from the courage of Liberia's community health workers 254 00:12:23,200 --> 00:12:26,921 that we as people are not defined by the conditions we face, 255 00:12:26,945 --> 00:12:29,009 no matter how hopeless they seem. 256 00:12:30,140 --> 00:12:32,272 We're defined by how we respond to them. 257 00:12:34,300 --> 00:12:36,351 For the past 15 years, 258 00:12:37,249 --> 00:12:39,252 I've seen the power of this idea 259 00:12:39,276 --> 00:12:43,373 to transform everyday citizens into community health workers -- 260 00:12:43,397 --> 00:12:45,260 into everyday heroes. 261 00:12:46,124 --> 00:12:47,926 And I've seen it play out everywhere, 262 00:12:47,950 --> 00:12:50,008 from the forest communities of West Africa, 263 00:12:50,032 --> 00:12:52,277 to the rural fishing villages of Alaska. 264 00:12:52,979 --> 00:12:54,129 It's true, 265 00:12:54,153 --> 00:12:57,202 these community health workers aren't doing neurosurgery, 266 00:12:57,226 --> 00:12:58,718 but they're making it possible 267 00:12:58,742 --> 00:13:01,814 to bring health care within reach of everyone everywhere. 268 00:13:03,645 --> 00:13:04,862 So now what? 269 00:13:05,812 --> 00:13:09,576 Well, we know that there are still millions of people dying 270 00:13:09,600 --> 00:13:11,349 from preventable causes 271 00:13:11,373 --> 00:13:13,248 in rural communities around the world. 272 00:13:13,272 --> 00:13:17,113 And we know that the great majority of these deaths are happening 273 00:13:17,137 --> 00:13:19,460 in these 75 blue-shaded countries. 274 00:13:19,849 --> 00:13:21,000 What we also know 275 00:13:21,024 --> 00:13:24,467 is that if we trained an army of community health workers 276 00:13:24,491 --> 00:13:27,824 to learn even just 30 lifesaving skills, 277 00:13:28,508 --> 00:13:32,624 we could save the lives of nearly 30 million people by 2030. 278 00:13:33,652 --> 00:13:38,297 Thirty services could save 30 million lives by 2030. 279 00:13:38,321 --> 00:13:40,064 That's not just a blueprint -- 280 00:13:40,088 --> 00:13:41,883 we're proving this can be done. 281 00:13:41,907 --> 00:13:43,067 In Liberia, 282 00:13:43,091 --> 00:13:47,356 the Liberian government is training thousands of workers like A.B. and Musu 283 00:13:47,380 --> 00:13:48,538 after Ebola, 284 00:13:48,562 --> 00:13:52,039 to bring health care to every child and family in the country. 285 00:13:52,063 --> 00:13:54,094 And we've been honored to work with them, 286 00:13:54,118 --> 00:13:56,626 and are now teaming up with a number of organizations 287 00:13:56,650 --> 00:13:58,872 that are working across other countries 288 00:13:58,896 --> 00:14:00,919 to try to help them do the same thing. 289 00:14:02,005 --> 00:14:04,695 If we could help these countries scale, 290 00:14:05,550 --> 00:14:07,182 we could save millions of lives, 291 00:14:07,206 --> 00:14:08,562 and at the same time, 292 00:14:08,586 --> 00:14:10,367 we could create millions of jobs. 293 00:14:11,875 --> 00:14:14,797 We simply can't do that, though, without technology. 294 00:14:15,286 --> 00:14:18,374 People are worried that technology is going to steal our jobs, 295 00:14:18,398 --> 00:14:20,597 but when it comes to community health workers, 296 00:14:20,621 --> 00:14:23,877 technology has actually been vital for creating jobs. 297 00:14:23,901 --> 00:14:26,317 Without technology -- without this smartphone, 298 00:14:26,341 --> 00:14:29,063 without this rapid test -- 299 00:14:29,960 --> 00:14:34,493 it would have been impossible for us to be able to employ A.B. and Musu. 300 00:14:35,464 --> 00:14:38,146 And I think it's time for technology to help us train, 301 00:14:38,170 --> 00:14:41,710 to help us train people faster and better than ever before. 302 00:14:42,578 --> 00:14:43,728 As a doctor, 303 00:14:43,752 --> 00:14:47,243 I use technology to stay up-to-date and keep certified. 304 00:14:47,267 --> 00:14:49,962 I use smartphones, I use apps, I use online courses. 305 00:14:49,986 --> 00:14:52,198 But when A.B. wants to learn, 306 00:14:52,222 --> 00:14:54,317 he's got to jump back in that canoe 307 00:14:55,152 --> 00:14:56,792 and get to the training center. 308 00:14:56,816 --> 00:14:59,008 And when Musu shows up for training, 309 00:14:59,710 --> 00:15:03,315 her instructors are stuck using flip charts and markers. 310 00:15:04,147 --> 00:15:08,680 Why shouldn't they have the same access to learn as I do? 311 00:15:10,384 --> 00:15:14,012 If we truly want community health workers to master those lifesaving skills 312 00:15:14,036 --> 00:15:15,288 and even more, 313 00:15:16,098 --> 00:15:19,352 we've got to change this old-school model of education. 314 00:15:20,282 --> 00:15:22,180 Tech can truly be a game changer here. 315 00:15:22,204 --> 00:15:25,749 I've been in awe of the digital education revolution 316 00:15:25,773 --> 00:15:28,933 that the likes of Khan Academy and edX have been leading. 317 00:15:30,041 --> 00:15:32,534 And I've been thinking that it's time; 318 00:15:32,558 --> 00:15:33,949 it's time for a collision 319 00:15:33,973 --> 00:15:36,284 between the digital education revolution 320 00:15:36,308 --> 00:15:38,458 and the community health revolution. 321 00:15:39,483 --> 00:15:42,703 And so, this brings me to my TED Prize wish. 322 00:15:43,759 --> 00:15:45,560 I wish -- 323 00:15:45,584 --> 00:15:47,790 I wish that you would help us recruit 324 00:15:47,814 --> 00:15:52,728 the largest army of community health workers the world has ever known 325 00:15:52,752 --> 00:15:55,577 by creating the Community Health Academy, 326 00:15:55,601 --> 00:15:58,806 a global platform to train, connect and empower. 327 00:15:59,553 --> 00:16:00,660 (Applause) 328 00:16:00,684 --> 00:16:01,835 Thank you. 329 00:16:01,859 --> 00:16:05,461 (Applause) 330 00:16:05,485 --> 00:16:06,643 Thank you. 331 00:16:08,500 --> 00:16:10,044 Here's the idea: 332 00:16:10,068 --> 00:16:12,138 we'll create and curate 333 00:16:12,750 --> 00:16:16,625 the best in digital education resources. 334 00:16:17,486 --> 00:16:22,121 We will bring those to community health workers around the world, 335 00:16:22,145 --> 00:16:23,398 including A.B. and Musu. 336 00:16:23,422 --> 00:16:26,224 They'll get video lessons on giving kids vaccines 337 00:16:26,248 --> 00:16:29,461 and have online courses on spotting the next outbreak, 338 00:16:29,485 --> 00:16:31,368 so they're not stuck using flip charts. 339 00:16:31,392 --> 00:16:35,228 We'll help these countries accredit these workers, 340 00:16:35,252 --> 00:16:39,959 so that they're not stuck remaining an under-recognized, undervalued group, 341 00:16:39,983 --> 00:16:42,720 but become a renowned, empowered profession, 342 00:16:42,744 --> 00:16:44,505 just like nurses and doctors. 343 00:16:46,090 --> 00:16:49,413 And we'll create a network of companies and entrepreneurs 344 00:16:49,437 --> 00:16:51,713 who've created innovations that can save lives 345 00:16:51,737 --> 00:16:54,117 and help them connect to workers like Musu, 346 00:16:54,141 --> 00:16:56,716 so she can help better serve her community. 347 00:16:57,643 --> 00:17:00,849 And we'll work tirelessly to persuade governments 348 00:17:00,873 --> 00:17:04,855 to make community health workers a cornerstone of their health care plans. 349 00:17:06,418 --> 00:17:10,207 We plan to test and prototype the academy in Liberia 350 00:17:10,231 --> 00:17:12,103 and a few other partner countries, 351 00:17:12,127 --> 00:17:13,914 and then we plan to take it global, 352 00:17:13,938 --> 00:17:16,161 including to rural North America. 353 00:17:16,787 --> 00:17:18,377 With the power of this platform, 354 00:17:18,401 --> 00:17:20,963 we believe countries can be more persuaded 355 00:17:20,987 --> 00:17:24,312 that a health care revolution really is possible. 356 00:17:25,154 --> 00:17:29,242 My dream is that this academy will contribute to the training 357 00:17:29,266 --> 00:17:31,478 of hundreds of thousands of community members 358 00:17:31,502 --> 00:17:34,401 to help bring health care to their neighbors -- 359 00:17:34,425 --> 00:17:36,035 the hundreds of millions of them 360 00:17:36,059 --> 00:17:38,680 that live in the world's most remote communities, 361 00:17:39,469 --> 00:17:41,550 from the forest communities of West Africa, 362 00:17:41,574 --> 00:17:43,714 to the fishing villages of rural Alaska; 363 00:17:43,738 --> 00:17:47,800 from the hilltops of Appalachia, to the mountains of Afghanistan. 364 00:17:47,824 --> 00:17:50,514 If this vision is aligned with yours, 365 00:17:50,538 --> 00:17:53,759 head to communityhealthacademy.org, 366 00:17:54,424 --> 00:17:56,104 and join this revolution. 367 00:17:57,220 --> 00:18:01,873 Let us know if you or your organization or someone you know could help us 368 00:18:01,897 --> 00:18:05,128 as we try to build this academy over the next year. 369 00:18:06,258 --> 00:18:08,214 Now, as I look out into this room, 370 00:18:08,994 --> 00:18:11,700 I realize that our journeys are not self-made; 371 00:18:11,724 --> 00:18:13,233 they're shaped by others. 372 00:18:13,257 --> 00:18:17,100 And there have been so many here that have been part of this cause. 373 00:18:17,124 --> 00:18:20,334 We're so honored to be part of this community, 374 00:18:20,358 --> 00:18:23,041 and a community that's willing to take on a cause 375 00:18:23,065 --> 00:18:24,433 as audacious as this one, 376 00:18:24,457 --> 00:18:26,532 so I wanted to offer, as I end, 377 00:18:26,556 --> 00:18:27,778 a reflection. 378 00:18:28,670 --> 00:18:31,657 I think a lot more about what my father taught me. 379 00:18:32,410 --> 00:18:34,611 These days, I too have become a dad. 380 00:18:34,635 --> 00:18:36,651 I have two sons, 381 00:18:36,675 --> 00:18:40,663 and my wife and I just learned that she's pregnant with our third child. 382 00:18:40,687 --> 00:18:41,695 (Applause) 383 00:18:41,719 --> 00:18:42,786 Thank you. 384 00:18:42,810 --> 00:18:44,361 (Applause) 385 00:18:44,740 --> 00:18:47,568 I was recently caring for a woman in Liberia 386 00:18:47,592 --> 00:18:50,317 who, like my wife, was in her third pregnancy. 387 00:18:51,055 --> 00:18:52,764 But unlike my wife, 388 00:18:53,642 --> 00:18:56,641 had had no prenatal care with her first two babies. 389 00:18:58,233 --> 00:19:02,625 She lived in an isolated community in the forest that had gone for 100 years 390 00:19:02,649 --> 00:19:04,038 without any health care 391 00:19:05,197 --> 00:19:06,825 until ... 392 00:19:06,849 --> 00:19:10,232 until last year when a nurse trained her neighbors 393 00:19:10,256 --> 00:19:11,967 to become community health workers. 394 00:19:11,991 --> 00:19:13,283 So here I was, 395 00:19:13,307 --> 00:19:17,547 seeing this patient who was in her second trimester, 396 00:19:17,571 --> 00:19:20,843 and I pulled out the ultrasound to check on the baby, 397 00:19:20,867 --> 00:19:24,406 and she started telling us stories about her first two kids, 398 00:19:24,430 --> 00:19:27,628 and I had the ultrasound probe on her belly, 399 00:19:27,652 --> 00:19:29,920 and she just stopped mid-sentence. 400 00:19:31,905 --> 00:19:33,446 She turned to me and she said, 401 00:19:33,470 --> 00:19:35,764 "Doc, what's that sound?" 402 00:19:38,055 --> 00:19:41,233 It was the first time she'd ever heard her baby's heartbeat. 403 00:19:42,795 --> 00:19:47,855 And her eyes lit up in the same way my wife's eyes and my own eyes lit up 404 00:19:47,879 --> 00:19:50,014 when we heard our baby's heartbeat. 405 00:19:52,228 --> 00:19:54,381 For all of human history, 406 00:19:54,405 --> 00:19:58,937 illness has been universal and access to care has not. 407 00:19:58,961 --> 00:20:00,847 But as a wise man once told me: 408 00:20:02,374 --> 00:20:04,862 no condition is permanent. 409 00:20:06,175 --> 00:20:07,403 It's time. 410 00:20:07,427 --> 00:20:09,750 It's time for us to go as far as it takes 411 00:20:09,774 --> 00:20:11,866 to change this condition together. 412 00:20:12,378 --> 00:20:13,532 Thank you. 413 00:20:13,556 --> 00:20:18,023 (Applause)