1 00:00:01,004 --> 00:00:04,482 I want to share with you something my father taught me. 2 00:00:05,377 --> 00:00:08,084 "No condition is permanent." 3 00:00:09,283 --> 00:00:12,538 It's a lesson he shared with me again and again, 4 00:00:12,538 --> 00:00:16,085 and I learned it to be true the hard way. 5 00:00:16,654 --> 00:00:19,594 Here I am in my fourth grade class. 6 00:00:19,594 --> 00:00:23,351 This is my yearbook picture taken in my class in school 7 00:00:23,351 --> 00:00:25,345 in Monrovia, Liberia. 8 00:00:25,705 --> 00:00:30,129 My parents migrated from India to West Africa in the 1970s, 9 00:00:30,129 --> 00:00:32,807 and I had the privilege of growing up there. 10 00:00:33,915 --> 00:00:34,946 I was nine years old, 11 00:00:34,946 --> 00:00:36,719 I loved kicking around a soccer ball, 12 00:00:36,719 --> 00:00:39,178 and I was a total math and science geek. 13 00:00:39,178 --> 00:00:40,556 I was living the kind of life 14 00:00:40,556 --> 00:00:43,891 that really any child would dream of. 15 00:00:45,408 --> 00:00:48,189 But no condition is permanent. 16 00:00:48,482 --> 00:00:51,428 On Christmas Eve in 1989, 17 00:00:51,428 --> 00:00:54,415 civil war erupted in Liberia. 18 00:00:55,228 --> 00:00:57,194 The war started in the rural countryside, 19 00:00:57,194 --> 00:00:58,192 and within months, 20 00:00:58,192 --> 00:01:00,923 rebel armies had marched towards our hometown. 21 00:01:00,923 --> 00:01:02,616 My school shut down, 22 00:01:02,616 --> 00:01:06,111 and when the rebel armies captured the only international airport, 23 00:01:06,111 --> 00:01:09,118 people started panicking and fleeing. 24 00:01:09,787 --> 00:01:11,337 My mom came knocking one morning 25 00:01:11,337 --> 00:01:12,935 and said, "Raj, pack your things. 26 00:01:12,935 --> 00:01:14,659 We have to go." 27 00:01:15,091 --> 00:01:17,464 We were rushed to the center of town, 28 00:01:17,464 --> 00:01:19,433 and there on a tarmac, 29 00:01:19,433 --> 00:01:21,842 we were split into two lines. 30 00:01:22,633 --> 00:01:25,407 I stood with my family in one line, 31 00:01:25,407 --> 00:01:29,122 and we were stuffed into the cargo hatch of a rescue plane. 32 00:01:29,398 --> 00:01:32,409 And there on a bench I was sitting with my heart racing. 33 00:01:32,409 --> 00:01:35,010 As I looked out the open hatch, 34 00:01:35,010 --> 00:01:37,872 I saw hundreds of Liberians in another line, 35 00:01:37,872 --> 00:01:40,228 children strapped to their backs. 36 00:01:40,634 --> 00:01:43,503 When they tried to jump in with us, 37 00:01:43,503 --> 00:01:46,283 I watched soldiers restrain them. 38 00:01:46,842 --> 00:01:49,011 They were not allowed to flee. 39 00:01:49,233 --> 00:01:50,886 We were the lucky ones. 40 00:01:51,496 --> 00:01:53,275 We lost what we had, 41 00:01:53,275 --> 00:01:55,761 but we resettled in America, 42 00:01:55,761 --> 00:01:58,765 and as immigrants we benefitted from the community of supporters 43 00:01:58,765 --> 00:02:00,808 that rallied around us. 44 00:02:02,012 --> 00:02:03,760 They took my family into their home, 45 00:02:03,760 --> 00:02:06,096 they mentored me 46 00:02:06,096 --> 00:02:08,530 and they helped my dad start a clothing shop. 47 00:02:08,530 --> 00:02:10,782 I'd visit my father on weekends as a teenager 48 00:02:10,782 --> 00:02:12,826 to help him sell sneakers and jeans. 49 00:02:12,826 --> 00:02:15,700 And every time business would get bad, 50 00:02:15,700 --> 00:02:18,142 he'd remind me of that mantra: 51 00:02:18,142 --> 00:02:20,504 no condition is permanent. 52 00:02:20,869 --> 00:02:21,873 That mantra, 53 00:02:21,873 --> 00:02:23,377 and my parent's persistence, 54 00:02:23,377 --> 00:02:25,384 and that community of supporters 55 00:02:25,384 --> 00:02:29,426 made it possible for me to go through college and eventually to medical school. 56 00:02:30,461 --> 00:02:34,085 I'd once had my hopes crushed in a war, 57 00:02:34,085 --> 00:02:35,562 but because of them, 58 00:02:35,562 --> 00:02:38,427 I had a chance to pursue my dream to become a doctor. 59 00:02:39,046 --> 00:02:41,616 My condition had changed. 60 00:02:42,925 --> 00:02:45,585 It had been 15 years since I escaped that air field, 61 00:02:45,585 --> 00:02:48,377 but the memory of those two lines had not escaped my mind. 62 00:02:48,377 --> 00:02:51,014 I was a medical student in my mid-20s, 63 00:02:51,014 --> 00:02:52,120 and I wanted to go back 64 00:02:52,120 --> 00:02:55,390 to see if I could serve the people we'd left behind. 65 00:02:55,841 --> 00:02:56,959 When I got back, 66 00:02:56,959 --> 00:02:58,837 what I found was utter destruction. 67 00:02:58,837 --> 00:03:00,985 The war had left us with just 51 doctors 68 00:03:00,985 --> 00:03:03,392 to serve a country of four million people. 69 00:03:03,623 --> 00:03:07,271 It would be like the city of San Francisco having just 10 doctors. 70 00:03:07,600 --> 00:03:10,698 So if you got sick in the city where those few doctors remain, 71 00:03:10,698 --> 00:03:12,170 you might stand a chance. 72 00:03:12,170 --> 00:03:15,954 But if you got sick in the remote, rural rainforest communities, 73 00:03:15,954 --> 00:03:18,190 where you could be days from the nearest clinic, 74 00:03:18,190 --> 00:03:19,523 I was seeing my patients die 75 00:03:19,523 --> 00:03:22,132 from conditions that no one should die from ... 76 00:03:22,132 --> 00:03:24,366 all because they were getting to me too late. 77 00:03:24,366 --> 00:03:27,811 Imagine you have a two-year-old who wakes up one morning with a fever, 78 00:03:27,811 --> 00:03:30,308 and you realize that she could have malaria, 79 00:03:30,308 --> 00:03:33,325 and you know that the only way to get her the medicine she needs 80 00:03:33,325 --> 00:03:35,085 would be to take her to the riverbed, 81 00:03:35,085 --> 00:03:36,089 get in a canoe, 82 00:03:36,089 --> 00:03:37,245 paddle to the other side 83 00:03:37,245 --> 00:03:39,804 and then walk for up to two days through the forest 84 00:03:39,804 --> 00:03:41,807 just to reach the nearest clinic. 85 00:03:42,157 --> 00:03:45,300 One billion people live in the world's most remote communities, 86 00:03:45,300 --> 00:03:48,969 and despite the advances we've made in modern medicine and technology, 87 00:03:48,969 --> 00:03:51,504 our innovations are not reaching the last mile. 88 00:03:51,808 --> 00:03:53,678 These communities have been left behind 89 00:03:53,678 --> 00:03:55,900 because they've been thought too hard to reach 90 00:03:55,900 --> 00:03:57,826 and too difficult to serve. 91 00:03:58,346 --> 00:04:00,158 Illness is universal; 92 00:04:00,158 --> 00:04:02,090 access to care is not. 93 00:04:02,386 --> 00:04:04,971 And realizing this lit a fire in my soul. 94 00:04:04,971 --> 00:04:09,252 No one should die because they live too far from a doctor or clinic. 95 00:04:09,252 --> 00:04:12,390 No condition should be permanent. 96 00:04:13,394 --> 00:04:16,131 And help in this case didn't come from the outside, 97 00:04:16,131 --> 00:04:17,807 it actually came from within. 98 00:04:17,807 --> 00:04:19,808 It came from the communities themselves. 99 00:04:20,178 --> 00:04:21,427 Meet Musu. 100 00:04:21,633 --> 00:04:23,041 Way out in rural Liberia, 101 00:04:23,041 --> 00:04:27,355 where most girls have not had a chance to finish primary school, 102 00:04:27,355 --> 00:04:29,326 Musu had been persistent. 103 00:04:30,092 --> 00:04:31,175 At the age of 18, 104 00:04:31,175 --> 00:04:32,432 she completed high school, 105 00:04:32,432 --> 00:04:34,738 and she came back to her community. 106 00:04:34,738 --> 00:04:37,360 She saw that none of the children were getting treatment 107 00:04:37,360 --> 00:04:39,753 for the diseases that they needed treatment for -- 108 00:04:39,753 --> 00:04:42,113 deadly diseases like malaria and pneumonia. 109 00:04:42,113 --> 00:04:44,795 So she signed up to be a volunteer. 110 00:04:45,990 --> 00:04:49,621 There are millions of volunteers like Musu in rural parts around our world, 111 00:04:49,621 --> 00:04:51,417 and we got to thinking -- 112 00:04:51,417 --> 00:04:55,126 community members like Musu could actually help us solve a puzzle. 113 00:04:56,167 --> 00:04:58,631 Our health care system is structured in such a way 114 00:04:58,631 --> 00:05:02,536 that they work of diagnosing disease and prescribing medicines 115 00:05:02,536 --> 00:05:06,131 is limited to a team of nurses and doctors like me. 116 00:05:06,617 --> 00:05:09,190 But nurses and doctors are concentrated in cities, 117 00:05:09,190 --> 00:05:12,630 so rural communities like Musu's have been left behind. 118 00:05:12,942 --> 00:05:14,681 So we started asking some questions. 119 00:05:14,681 --> 00:05:17,122 What if we could reorganize the medical care system? 120 00:05:17,122 --> 00:05:20,385 What if we could have community members like Musu 121 00:05:20,385 --> 00:05:23,742 be a part or even be the center of our medical team? 122 00:05:23,742 --> 00:05:27,690 What if Musu could help us bring heatlh care from clinics in cities 123 00:05:27,690 --> 00:05:30,330 to the doorsteps of her neighbors? 124 00:05:31,292 --> 00:05:34,200 Musu was 48 when I met her, 125 00:05:34,200 --> 00:05:37,276 and despite her amazing talent and grit, 126 00:05:37,276 --> 00:05:40,875 she hadn't had a paying job in 30 years. 127 00:05:41,535 --> 00:05:44,067 So what if technology could support her? 128 00:05:44,464 --> 00:05:48,837 What if we could invest in her with real training, 129 00:05:48,837 --> 00:05:49,964 real equipment, 130 00:05:49,964 --> 00:05:51,659 with real medicines? 131 00:05:51,924 --> 00:05:56,020 And have her have a real job? 132 00:05:56,555 --> 00:06:00,968 Well, in 2007 I was trying to answer these questions, 133 00:06:00,968 --> 00:06:03,541 and my wife and I were getting married that year. 134 00:06:04,267 --> 00:06:08,749 We asked our relatives to forgo the wedding registry gifts, 135 00:06:08,749 --> 00:06:10,322 and instead donate some money 136 00:06:10,322 --> 00:06:13,635 so we could have some startup money to launch a non-profit. 137 00:06:14,118 --> 00:06:16,579 I promise you, I'm a lot more romantic than that -- 138 00:06:16,579 --> 00:06:17,655 (Laughter) 139 00:06:18,426 --> 00:06:20,842 We ended up raising 6,000 dollars, 140 00:06:20,842 --> 00:06:22,940 teamed up with some Liberians and Americans, 141 00:06:22,940 --> 00:06:25,377 and launched a non-profit called Last Mile Health, 142 00:06:25,377 --> 00:06:27,839 and our goal is to bring a health worker 143 00:06:27,839 --> 00:06:30,364 within reach of everyone everywhere. 144 00:06:30,599 --> 00:06:32,556 We designed a three-step process -- 145 00:06:32,556 --> 00:06:34,043 train, equip and pay -- 146 00:06:34,043 --> 00:06:37,423 to invest more deeply in volunteers like Musu 147 00:06:37,423 --> 00:06:38,942 to become paraprofessionals, 148 00:06:38,942 --> 00:06:40,869 to become community health workers. 149 00:06:41,139 --> 00:06:45,925 First we trained Musu to prevent, diagnose and treat 150 00:06:45,925 --> 00:06:49,634 the top 10 diseases afflicting families in her village. 151 00:06:50,078 --> 00:06:53,608 A nurse supervisor visited her every month to coach her. 152 00:06:54,066 --> 00:06:56,630 We equipped her with modern medical technology, 153 00:06:56,630 --> 00:07:00,023 like this $1 malaria rapid test, 154 00:07:00,023 --> 00:07:03,775 and put it in a backpack full of medicines like this 155 00:07:03,775 --> 00:07:06,132 to treat infections like pneumonia. 156 00:07:06,718 --> 00:07:08,308 And crucially, 157 00:07:08,308 --> 00:07:12,596 a smartphone to help her track and report on epidemics. 158 00:07:13,523 --> 00:07:16,549 Last, we recognized the dignity in Musu's work. 159 00:07:16,549 --> 00:07:17,997 With the Liberian government, 160 00:07:17,997 --> 00:07:19,143 we created a contract, 161 00:07:19,143 --> 00:07:20,248 paid her 162 00:07:20,248 --> 00:07:22,364 and gave her the chance to have a real job. 163 00:07:22,364 --> 00:07:23,634 And she's amazing. 164 00:07:23,634 --> 00:07:27,225 Musu has learned over 30 medical skills, 165 00:07:27,225 --> 00:07:30,007 from screening children for malnutrition 166 00:07:30,007 --> 00:07:33,592 to assessing the cause of a child's cough with a smartphone, 167 00:07:33,592 --> 00:07:36,736 to supporting people with HIV, 168 00:07:36,736 --> 00:07:40,969 and providing follow-up care to patients who've lost their limbs. 169 00:07:42,013 --> 00:07:44,121 Working as part of our team, 170 00:07:44,121 --> 00:07:45,792 working as paraprofessionals, 171 00:07:45,792 --> 00:07:47,709 community health workers can help insure 172 00:07:47,709 --> 00:07:50,315 that a lot of what your family doctor would do 173 00:07:50,315 --> 00:07:53,962 reaches the places that most family doctors could never go. 174 00:07:54,160 --> 00:07:55,655 One of my favorite things to do 175 00:07:55,655 --> 00:07:58,406 is to care for patients with community health workers, 176 00:07:58,406 --> 00:08:00,816 so last year I was visiting A.B., 177 00:08:00,816 --> 00:08:02,047 and like Musu, 178 00:08:02,047 --> 00:08:04,186 A.B. had had a chance to go to school. 179 00:08:04,503 --> 00:08:07,603 He was in middle school in the eighth grade 180 00:08:07,603 --> 00:08:08,950 when his parents died. 181 00:08:08,950 --> 00:08:11,935 He became an orphan and had to drop out. 182 00:08:13,102 --> 00:08:17,510 Last year we hired and trained A.B. as a community health worker. 183 00:08:18,303 --> 00:08:21,281 And while he was making door-to-door house calls, 184 00:08:21,281 --> 00:08:23,527 he met this young boy named Prince 185 00:08:23,527 --> 00:08:26,721 whose mother had had trouble breastfeeding him, 186 00:08:26,721 --> 00:08:28,143 and by the age of six months, 187 00:08:28,143 --> 00:08:30,009 Prince had started to waste away. 188 00:08:30,009 --> 00:08:33,641 A.B. had just been taught how to use this color-coded measuring tape 189 00:08:33,641 --> 00:08:37,150 that wraps around the upper arm of a child with diagnosed malnutrition. 190 00:08:37,150 --> 00:08:39,564 A.B. noticed that Prince was in the red zone, 191 00:08:39,564 --> 00:08:41,418 which meant he had to be hospitalized. 192 00:08:41,418 --> 00:08:44,281 So A.B. took Prince and his mother to the river, 193 00:08:44,281 --> 00:08:45,276 got in a canoe 194 00:08:45,276 --> 00:08:47,831 and paddled for four hours to get to the hospital. 195 00:08:48,163 --> 00:08:51,085 Later, after Prince was discharged, 196 00:08:51,085 --> 00:08:55,604 A.B. taught mom how to feed baby a food supplement. 197 00:08:56,062 --> 00:08:58,070 A few months ago, 198 00:08:58,070 --> 00:08:59,477 A.B. took me to visit Prince, 199 00:08:59,477 --> 00:09:01,377 and he's a chubby little guy. 200 00:09:01,377 --> 00:09:02,389 (Laughter) 201 00:09:02,389 --> 00:09:03,892 He's meeting his milestones, 202 00:09:03,892 --> 00:09:05,526 he's pulled himself up to a stand, 203 00:09:05,526 --> 00:09:07,345 and even starting to say a few words. 204 00:09:07,345 --> 00:09:09,726 I'm so inspired by these community health workers. 205 00:09:09,726 --> 00:09:12,479 I often ask them why they do what they do, 206 00:09:12,479 --> 00:09:15,415 and when I asked A.B. he said, 207 00:09:15,415 --> 00:09:18,254 "Doc, since I dropped out of school, 208 00:09:18,254 --> 00:09:21,672 this is the first time I'm having a chance to hold a pen to write. 209 00:09:22,076 --> 00:09:24,859 My brain is getting fresh." 210 00:09:26,104 --> 00:09:29,767 The stories of A.B. and Musu have taught me something fundamental 211 00:09:29,767 --> 00:09:31,827 about being human. 212 00:09:32,332 --> 00:09:35,668 Our will to serve others 213 00:09:35,668 --> 00:09:39,378 can actually help us transform our own conditions. 214 00:09:39,808 --> 00:09:43,846 And I was so moved by how powerful the will to serve our neighbors can be 215 00:09:43,846 --> 00:09:46,147 a few years ago, 216 00:09:46,147 --> 00:09:48,391 when we faced a global catastrophe. 217 00:09:48,820 --> 00:09:50,545 In December 2013, 218 00:09:50,545 --> 00:09:54,087 something happened in the rainforests across the border from us in Guinea. 219 00:09:54,087 --> 00:09:58,207 A toddler named Emile fell sick with vomiting, fever and diarrhea. 220 00:09:58,609 --> 00:10:00,942 He lived in an area where the roads were sparse 221 00:10:00,942 --> 00:10:03,848 and there had been massive shortages of health workers. 222 00:10:04,740 --> 00:10:06,025 Emile died, 223 00:10:06,025 --> 00:10:07,858 and a few weeks later his sister died, 224 00:10:07,858 --> 00:10:09,837 and a few weeks later his mother died. 225 00:10:09,837 --> 00:10:13,219 And this disease would spread from one community to another. 226 00:10:13,219 --> 00:10:15,192 And it wasn't until three months later 227 00:10:15,192 --> 00:10:17,974 that the world recognized this as Ebola. 228 00:10:18,415 --> 00:10:19,752 When every minute counted, 229 00:10:19,752 --> 00:10:21,135 we had already lost months, 230 00:10:21,135 --> 00:10:24,503 and by then the virus had spread like wildfire all across West Africa, 231 00:10:24,503 --> 00:10:26,553 and eventually to other parts of the world. 232 00:10:26,553 --> 00:10:27,905 Businesses shut down, 233 00:10:27,905 --> 00:10:29,688 airlines started cancelling routes. 234 00:10:29,981 --> 00:10:31,316 At the height of the crisis, 235 00:10:31,316 --> 00:10:36,019 when we were told that 1.4 million people could be infected, 236 00:10:36,019 --> 00:10:39,575 when we were told that most of them would die, 237 00:10:39,575 --> 00:10:43,774 when we had nearly lost all hope, 238 00:10:43,774 --> 00:10:46,815 I remember standing with a group of health workers 239 00:10:46,815 --> 00:10:49,492 in the rainforest where an outbreak had just happened. 240 00:10:49,492 --> 00:10:51,518 We were helping train and equip them 241 00:10:51,518 --> 00:10:53,637 to put on the masks, the gloves and the gowns 242 00:10:53,637 --> 00:10:56,366 that they needed to keep themselves safe from the virus 243 00:10:56,366 --> 00:10:58,339 while they were serving their patients. 244 00:10:58,864 --> 00:11:02,651 I remember the fear in their eyes, 245 00:11:02,651 --> 00:11:04,843 and I remember staying up at night, 246 00:11:04,843 --> 00:11:08,679 terrified if I'd made the right call ... 247 00:11:08,679 --> 00:11:10,486 to keep them in the field. 248 00:11:11,059 --> 00:11:15,703 When Ebola threatened to bring humanity to its knees, 249 00:11:15,703 --> 00:11:19,237 Liberia's community health workers didn't surrender to fear. 250 00:11:19,946 --> 00:11:22,030 They did what they had always done. 251 00:11:22,297 --> 00:11:25,251 They answered the call to serve their neighbors. 252 00:11:25,729 --> 00:11:29,520 Community members across Liberia learned the symptoms of Ebola, 253 00:11:29,520 --> 00:11:33,096 teamed up with nurses and doctors to go door-to-door to find the sick 254 00:11:33,096 --> 00:11:34,675 and get them into care. 255 00:11:34,675 --> 00:11:38,165 They tracked thousands of people who had been exposed to the virus, 256 00:11:38,165 --> 00:11:40,266 and helped break the chain of transmission. 257 00:11:40,520 --> 00:11:43,923 Some ten thousand community health workers risked their own lives 258 00:11:43,923 --> 00:11:47,084 to help hunt down this virus and stop it in its tracks. 259 00:11:47,527 --> 00:11:50,202 (Applause) 260 00:11:54,784 --> 00:11:58,372 Today, Ebola has come under control in West Africa, 261 00:11:58,372 --> 00:12:00,110 and we've learned a few things. 262 00:12:00,436 --> 00:12:03,057 We've learned that blindspots in rural health care 263 00:12:03,057 --> 00:12:04,878 can lead to hot spots of disease, 264 00:12:04,878 --> 00:12:07,599 and that places all of us at greater risk. 265 00:12:07,885 --> 00:12:10,600 We've learned that the most efficient emergency system 266 00:12:10,600 --> 00:12:12,737 is actually an everyday system, 267 00:12:12,737 --> 00:12:15,331 and that system has to reach all communities, 268 00:12:15,331 --> 00:12:17,851 including rural communities like Emile's. 269 00:12:18,604 --> 00:12:19,659 And most of all, 270 00:12:19,659 --> 00:12:23,039 we've learned from the courage of Liberia's community health workers 271 00:12:23,039 --> 00:12:27,160 that we as people are not defined by the conditions we face, 272 00:12:27,160 --> 00:12:29,632 no matter how hopeless they seem. 273 00:12:30,140 --> 00:12:33,074 We're defined by how we respond to them. 274 00:12:34,387 --> 00:12:37,448 For the past 15 years, 275 00:12:37,448 --> 00:12:39,474 I've seen the power of this idea 276 00:12:39,474 --> 00:12:43,594 to transform everyday citizens into community health workers -- 277 00:12:43,594 --> 00:12:45,457 into everyday heroes. 278 00:12:46,175 --> 00:12:47,950 And I've seen it play out everywhere, 279 00:12:47,950 --> 00:12:49,993 from the forest communities of West Africa, 280 00:12:49,993 --> 00:12:52,486 to the rural fishing villages of Alaska. 281 00:12:53,147 --> 00:12:54,153 It's true, 282 00:12:54,153 --> 00:12:57,326 these community health workers aren't doing neurosurgery, 283 00:12:57,326 --> 00:12:58,777 but they're making it possible 284 00:12:58,777 --> 00:13:02,499 to bring health care within reach of everyone everywhere. 285 00:13:03,765 --> 00:13:05,477 So now what? 286 00:13:05,931 --> 00:13:09,718 Well, we know that there are still millions of people dying 287 00:13:09,718 --> 00:13:11,613 from preventable causes 288 00:13:11,613 --> 00:13:13,439 in rural communities around the world. 289 00:13:13,439 --> 00:13:17,311 And we know that the great majority of these deaths are happening 290 00:13:17,311 --> 00:13:19,702 in these 75 blue shaded countries. 291 00:13:20,045 --> 00:13:21,071 What we also know 292 00:13:21,071 --> 00:13:24,537 is that if we trained an army of community health workers 293 00:13:24,537 --> 00:13:28,760 to learn even just 30 life-saving skills, 294 00:13:28,760 --> 00:13:33,289 we could save the lives of nearly 30 million people by 2030. 295 00:13:33,685 --> 00:13:38,321 30 services could save 30 million lives by 2030. 296 00:13:38,321 --> 00:13:40,341 That's not just a blueprint. 297 00:13:40,341 --> 00:13:42,048 We're proven this can be done. 298 00:13:42,048 --> 00:13:43,051 In Liberia, 299 00:13:43,051 --> 00:13:47,448 the Libernian government is training thousands of workers like A.B. and Musu 300 00:13:47,448 --> 00:13:48,448 after Ebola, 301 00:13:48,448 --> 00:13:51,624 to bring health care to every child and family in the country. 302 00:13:52,095 --> 00:13:54,118 And we've been honored to work with them, 303 00:13:54,118 --> 00:13:56,722 and are now teaming up with a number of organizations 304 00:13:56,722 --> 00:13:58,967 that are working across other countries 305 00:13:58,967 --> 00:14:01,365 to try to help them do the same thing. 306 00:14:02,180 --> 00:14:05,748 If we could help these countries scale, 307 00:14:05,748 --> 00:14:07,366 we could save millions of lives 308 00:14:07,366 --> 00:14:08,586 and at the same time, 309 00:14:08,586 --> 00:14:11,419 we could create millions of jobs. 310 00:14:11,971 --> 00:14:15,039 We simply can't do that though without technology. 311 00:14:15,445 --> 00:14:18,556 People are worried that technology is going to steal our jobs, 312 00:14:18,556 --> 00:14:20,741 but when it comes to community health workers, 313 00:14:20,741 --> 00:14:23,712 technology's actually been vital for creating jobs. 314 00:14:24,021 --> 00:14:25,139 Without technology -- 315 00:14:25,139 --> 00:14:26,522 without this smartphone, 316 00:14:26,522 --> 00:14:30,143 without this rapid test -- 317 00:14:30,143 --> 00:14:35,120 it would have been impossible for us to be able to employ A.B. and Musu. 318 00:14:35,607 --> 00:14:38,312 And I think it's time for technology to help us train -- 319 00:14:38,312 --> 00:14:41,852 to help us train people faster and better than ever before. 320 00:14:42,596 --> 00:14:43,752 As a doctor, 321 00:14:43,752 --> 00:14:47,267 I use technology to stay up-to-date and keep certified. 322 00:14:47,267 --> 00:14:49,986 I use smartphones, I use apps, I use online courses, 323 00:14:49,986 --> 00:14:52,507 but when A.B. wants to learn, 324 00:14:52,507 --> 00:14:56,799 he's got to jump back in that canoe and get to the training center. 325 00:14:57,027 --> 00:15:00,044 And when Musu shows up for training, 326 00:15:00,044 --> 00:15:03,649 her instructors are stuck using flip charts and markers. 327 00:15:04,298 --> 00:15:09,422 Why shouldn't they have the same access to learn as I do? 328 00:15:10,446 --> 00:15:14,036 If we truly want community health workers to master those life-saving skills 329 00:15:14,036 --> 00:15:16,296 and even more, 330 00:15:16,296 --> 00:15:20,011 we've got to change this old-school model of education. 331 00:15:20,465 --> 00:15:22,386 Tech can truly be a game-changer here. 332 00:15:22,386 --> 00:15:25,899 I've been in awe of the digital education revolution 333 00:15:25,899 --> 00:15:28,921 that the likes of Khan Academy and edX have been leading. 334 00:15:30,121 --> 00:15:32,742 And I've been thinking that it's time. 335 00:15:32,742 --> 00:15:36,558 It's time for a collision between the digital education revolution 336 00:15:36,558 --> 00:15:39,268 and the community health revoultion. 337 00:15:39,642 --> 00:15:42,862 And so this brings me to my TED Prize wish. 338 00:15:43,823 --> 00:15:45,647 I wish -- 339 00:15:45,647 --> 00:15:48,231 I wish that you would help us recruit 340 00:15:48,231 --> 00:15:53,023 the largest army of community health workers the world has ever known 341 00:15:53,023 --> 00:15:55,871 by creating the community health academy, 342 00:15:55,871 --> 00:15:59,371 a global platform to train, connect and empower. 343 00:15:59,717 --> 00:16:00,718 (Applause) 344 00:16:00,718 --> 00:16:01,721 Thank you. 345 00:16:01,721 --> 00:16:04,721 (Applause) 346 00:16:08,564 --> 00:16:10,131 Here's the idea. 347 00:16:10,131 --> 00:16:12,989 So we'll create and curate 348 00:16:12,989 --> 00:16:17,039 the best in digital education resources. 349 00:16:17,629 --> 00:16:22,145 We will bring those to community health workers around the world, 350 00:16:22,145 --> 00:16:23,645 including A.B. and Musu. 351 00:16:23,645 --> 00:16:26,470 So they'll get video lessons on giving kids vaccines, 352 00:16:26,470 --> 00:16:29,706 and have online courses on spotting the next outbreak, 353 00:16:29,706 --> 00:16:31,600 so they're not stuck using flip charts. 354 00:16:31,600 --> 00:16:35,574 We'll help these countries accredit these workers, 355 00:16:35,574 --> 00:16:40,112 so that they're not stuck remaining an under-recognized, undervalued group, 356 00:16:40,112 --> 00:16:45,054 but become a renowned, empowered profession just like nurses and doctors. 357 00:16:46,281 --> 00:16:49,627 And we'll create a network of companies and entrepreneurs 358 00:16:49,627 --> 00:16:51,864 who've created innovations that can save lives 359 00:16:51,864 --> 00:16:54,267 and help them connect to workers like Musu 360 00:16:54,267 --> 00:16:57,052 so she can help better serve her community. 361 00:16:57,897 --> 00:17:00,914 And we'll work tirelessly to persuade governments 362 00:17:00,914 --> 00:17:05,070 to make community health workers a cornerstone of their health care plans. 363 00:17:06,450 --> 00:17:10,332 We plan to test and prototype the academy in Liberia 364 00:17:10,332 --> 00:17:12,426 and a few other partner countries, 365 00:17:12,426 --> 00:17:14,160 and then we plan to take it global, 366 00:17:14,160 --> 00:17:16,383 including the rural North America. 367 00:17:16,856 --> 00:17:18,401 With the power of this platform, 368 00:17:18,401 --> 00:17:20,987 we believe countries can be more persuaded 369 00:17:20,987 --> 00:17:24,604 that a health care revolution really is possible. 370 00:17:25,250 --> 00:17:28,522 My dream is that this academy will contribute 371 00:17:28,522 --> 00:17:31,663 to the training of hundreds of thousands community members 372 00:17:31,663 --> 00:17:34,726 to help bring health care to their neighbors -- 373 00:17:34,726 --> 00:17:36,273 the hundreds of millions of them 374 00:17:36,273 --> 00:17:38,924 that live in the world's most remote communities. 375 00:17:39,620 --> 00:17:41,721 From the forest communities of West Africa, 376 00:17:41,724 --> 00:17:43,887 to the fishing villages of rural Alaska; 377 00:17:43,887 --> 00:17:47,477 from the hilltops of Appalachia to the mountains of Afghanistan. 378 00:17:47,646 --> 00:17:50,730 And if this vision is aligned with yours, 379 00:17:50,730 --> 00:17:54,742 head to Communityhealthacademy.org, 380 00:17:54,742 --> 00:17:56,732 and join this revolution. 381 00:17:57,435 --> 00:18:01,402 Let us know if you or your organization or someone you know 382 00:18:01,402 --> 00:18:05,914 could help us as we try to build this academy over the next year. 383 00:18:06,345 --> 00:18:09,209 Now, as I look out into this room, 384 00:18:09,209 --> 00:18:11,872 I realize that our journeys are not self-made, 385 00:18:11,872 --> 00:18:13,404 they're shaped by others. 386 00:18:13,404 --> 00:18:16,799 And there have been so many here that have been part of this cause. 387 00:18:17,227 --> 00:18:20,533 We're so honored to be part of this community, 388 00:18:20,533 --> 00:18:21,992 and a community that's willing 389 00:18:21,992 --> 00:18:24,457 to take on a cause as audacious as this one. 390 00:18:24,457 --> 00:18:26,708 So I wanted to offer as I end, 391 00:18:26,708 --> 00:18:27,930 a reflection. 392 00:18:28,893 --> 00:18:31,880 I think a lot more about what my father taught me. 393 00:18:32,514 --> 00:18:34,738 These days, I too have become a dad. 394 00:18:34,738 --> 00:18:36,777 I have two sons, 395 00:18:36,777 --> 00:18:40,964 and my wife and I just learned that she's pregnant with our third child. 396 00:18:41,396 --> 00:18:43,079 (Applause) 397 00:18:44,875 --> 00:18:47,799 I was recently caring for a woman in Liberia 398 00:18:47,799 --> 00:18:51,325 who like my wife was in her third pregnancy, 399 00:18:51,325 --> 00:18:53,785 but unlike my wife, 400 00:18:53,785 --> 00:18:56,784 had had no prenatal care with her first two babies. 401 00:18:58,384 --> 00:19:02,799 She lived in an isolated community in the forest that had gone for 100 years 402 00:19:02,799 --> 00:19:05,277 without any health care ... 403 00:19:05,277 --> 00:19:06,972 until -- 404 00:19:06,972 --> 00:19:10,378 until last year when a nurse trained her neighbors 405 00:19:10,378 --> 00:19:12,112 to become community health workers. 406 00:19:12,112 --> 00:19:13,393 So here I was, 407 00:19:13,393 --> 00:19:17,656 seeing this patient who was in her second trimester, 408 00:19:17,656 --> 00:19:20,867 and I pulled out the ultrasound to check on the baby, 409 00:19:20,867 --> 00:19:24,430 and she started telling us stories about her first two kids, 410 00:19:24,430 --> 00:19:27,550 and I had the ultrasound probe on her belly, 411 00:19:27,550 --> 00:19:30,550 and she just stopped mid-sentence. 412 00:19:32,041 --> 00:19:33,605 She turned to be and she said, 413 00:19:33,605 --> 00:19:36,888 "Doc, what's that sound?" 414 00:19:38,055 --> 00:19:42,219 It was the first time she'd ever heard her baby's heartbeat. 415 00:19:43,057 --> 00:19:48,093 And her eyes lit up in the same way my wife's eyes and my own eyes lit up 416 00:19:48,093 --> 00:19:51,337 when we heard our baby's heartbeat. 417 00:19:52,340 --> 00:19:54,658 For all of human history, 418 00:19:54,658 --> 00:19:59,213 illness has been universal and access to care has not, 419 00:19:59,213 --> 00:20:02,668 but as a wise man once told me, 420 00:20:02,668 --> 00:20:05,771 no condition is permanent. 421 00:20:06,255 --> 00:20:07,562 It's time. 422 00:20:07,562 --> 00:20:09,908 It's time for us to go as far as it takes 423 00:20:09,908 --> 00:20:12,600 to change this condition together. 424 00:20:12,600 --> 00:20:13,999 Thank you. 425 00:20:13,999 --> 00:20:16,020 (Applause)