1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:27,560 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. We 7 00:00:27,680 --> 00:00:31,640 Speaker 1: are broadcasting live from Bloomberg's The Year Ahead Conference at 8 00:00:31,680 --> 00:00:35,320 Speaker 1: Bloomberg headquarters in New York City. On the other side 9 00:00:35,400 --> 00:00:39,680 Speaker 1: of the country is currently the l A Auto Show. Uh. 10 00:00:39,680 --> 00:00:42,400 Speaker 1: And there is Volvo and they did not bring a 11 00:00:42,440 --> 00:00:46,440 Speaker 1: car this year to the auto show to display. Hokan Samuelson, 12 00:00:46,479 --> 00:00:49,080 Speaker 1: who is the chief executive officer of Volvo, joins us 13 00:00:49,200 --> 00:00:52,479 Speaker 1: now from there. Thank you so much for joining us. 14 00:00:52,520 --> 00:00:55,720 Speaker 1: So why didn't you want to display a car and 15 00:00:55,760 --> 00:01:00,680 Speaker 1: what does it mean to have a concept car? Uh? Okay, 16 00:01:00,760 --> 00:01:04,480 Speaker 1: nice being with you. We really see that maybe the 17 00:01:04,640 --> 00:01:07,319 Speaker 1: times when you show the car foot of the clothes 18 00:01:07,720 --> 00:01:11,400 Speaker 1: in front of an audience, it feels a bit outdated, 19 00:01:12,040 --> 00:01:14,760 Speaker 1: especially as the core of the future will have a 20 00:01:14,800 --> 00:01:18,479 Speaker 1: lot more than just the hardware. So we decided, then 21 00:01:18,600 --> 00:01:23,200 Speaker 1: let's focus on on those new customer experiences instead of 22 00:01:23,240 --> 00:01:26,640 Speaker 1: the hardware and then maybe not deluse the message. Let's 23 00:01:26,840 --> 00:01:30,600 Speaker 1: take the car out. So we have here one station 24 00:01:30,680 --> 00:01:34,600 Speaker 1: we talked about in care importainment system of the future 25 00:01:34,720 --> 00:01:38,000 Speaker 1: where we have a partnership with the Google bringing in 26 00:01:38,040 --> 00:01:41,600 Speaker 1: the Android in the car. Another interesting example of a 27 00:01:41,680 --> 00:01:46,840 Speaker 1: connectivity services with Amazon. We have people from Amazon. You're 28 00:01:47,280 --> 00:01:53,560 Speaker 1: showing how you can get your Internet supply directly into 29 00:01:53,840 --> 00:01:56,840 Speaker 1: your car because normally you're not that home when they 30 00:01:56,880 --> 00:02:01,080 Speaker 1: come to deliver the stuff. So that's the practical solution 31 00:02:01,160 --> 00:02:04,520 Speaker 1: also for our for our customers. So these are two 32 00:02:04,680 --> 00:02:10,760 Speaker 1: examples of what the care of the future could could be. 33 00:02:10,760 --> 00:02:15,079 Speaker 1: Besides and of course a nice car. Can you tell 34 00:02:15,160 --> 00:02:18,120 Speaker 1: us a little bit about the three sixty C This 35 00:02:18,200 --> 00:02:21,080 Speaker 1: is the concept car that Lisa was referring to, and 36 00:02:21,520 --> 00:02:25,760 Speaker 1: the venture that you have with Luminar, and how the 37 00:02:25,800 --> 00:02:30,560 Speaker 1: technology that Luminar is pursuing with you is really going 38 00:02:30,600 --> 00:02:34,280 Speaker 1: to change the in car experience. And I have a 39 00:02:34,280 --> 00:02:36,079 Speaker 1: feeling that you'll even be able to have a glass 40 00:02:36,080 --> 00:02:40,560 Speaker 1: of champagne while you're in the car and it won't 41 00:02:41,160 --> 00:02:45,119 Speaker 1: it won't be a danger. Okay, it's a really good 42 00:02:45,120 --> 00:02:48,920 Speaker 1: point because of course, to be able to enjoy any 43 00:02:49,040 --> 00:02:54,120 Speaker 1: type of in car portayment or you need to have 44 00:02:54,240 --> 00:02:57,840 Speaker 1: a car which of course could be driven safely automated. 45 00:02:58,240 --> 00:03:01,000 Speaker 1: And that's where luminar comes in to the picture. I mean, 46 00:03:01,040 --> 00:03:04,079 Speaker 1: that's a very interesting start top that we have also 47 00:03:04,120 --> 00:03:07,960 Speaker 1: on stand here, which is a long range high definition 48 00:03:08,120 --> 00:03:13,640 Speaker 1: light art. So it's really as with the human the 49 00:03:13,720 --> 00:03:17,919 Speaker 1: ability to see. It's crucial for a stage drive, and 50 00:03:18,120 --> 00:03:21,679 Speaker 1: I mean the computer also needs a better revision. It 51 00:03:21,840 --> 00:03:26,000 Speaker 1: has cameras, radars, but also light darts. And then the 52 00:03:26,120 --> 00:03:29,760 Speaker 1: lider is especially important, and the gluminar is taking a 53 00:03:29,840 --> 00:03:35,280 Speaker 1: step forward here of having a long range, high definition lider. Okay, 54 00:03:35,440 --> 00:03:37,280 Speaker 1: I have to think, you know, you're talking about the 55 00:03:37,320 --> 00:03:39,680 Speaker 1: experience and there seems to be a d emphasis of 56 00:03:39,760 --> 00:03:43,400 Speaker 1: actually purchasing the vehicle, and perhaps this is what's behind 57 00:03:43,920 --> 00:03:46,480 Speaker 1: General Motors in the recent announcement they came out with 58 00:03:46,640 --> 00:03:50,360 Speaker 1: to cut a huge proportion of their staff in response 59 00:03:50,680 --> 00:03:55,680 Speaker 1: to changes in automation and electronification as well as just 60 00:03:55,760 --> 00:03:59,920 Speaker 1: the reality which is the car cycle is slowing. What's 61 00:04:00,000 --> 00:04:06,960 Speaker 1: about on it that? Uh, we don't really see a 62 00:04:06,960 --> 00:04:10,280 Speaker 1: a indication of the weaker market so far. I mean 63 00:04:10,320 --> 00:04:13,920 Speaker 1: we have been very fortunate with our new car lines 64 00:04:14,080 --> 00:04:17,039 Speaker 1: and we have the right cars being now popular on 65 00:04:17,120 --> 00:04:19,640 Speaker 1: the on the on the market SUVs. We have three 66 00:04:19,720 --> 00:04:22,919 Speaker 1: quarter of our stays is already today a SUVs, but 67 00:04:23,960 --> 00:04:26,400 Speaker 1: the last quarter is also very important. And we have 68 00:04:26,480 --> 00:04:29,600 Speaker 1: a very attractive new car being built in South Carolina. 69 00:04:29,640 --> 00:04:32,960 Speaker 1: I knew said on so I think there will it 70 00:04:33,040 --> 00:04:36,320 Speaker 1: will not be one under present SUVs. There will be 71 00:04:36,400 --> 00:04:40,680 Speaker 1: awesome market for for other cars. So we are fortunate 72 00:04:40,720 --> 00:04:43,360 Speaker 1: to have a strong product lineup and we can then 73 00:04:43,640 --> 00:04:47,200 Speaker 1: of course continue growing our market share and that will 74 00:04:47,240 --> 00:04:50,719 Speaker 1: help us. And and we are lucky than to be small. 75 00:04:51,040 --> 00:04:53,920 Speaker 1: Not always good to be big. Sometimes it's also an 76 00:04:53,920 --> 00:04:57,839 Speaker 1: advantage being small because the teacher to grow. Then, Okay, 77 00:04:57,839 --> 00:04:59,600 Speaker 1: I'm wondering if you could just talk a little bit 78 00:04:59,640 --> 00:05:02,960 Speaker 1: about producing cars in the US versus the rest of 79 00:05:03,000 --> 00:05:06,400 Speaker 1: the world and sort of the competitive balance there. I mean, 80 00:05:06,720 --> 00:05:10,000 Speaker 1: do you find it to be prohibitively expensive to expand 81 00:05:10,000 --> 00:05:15,080 Speaker 1: production in the United States versus say, China. Yeah, I 82 00:05:15,120 --> 00:05:20,920 Speaker 1: mean with no carrorists between China and and the U 83 00:05:21,200 --> 00:05:24,560 Speaker 1: s that ha's of course complicated using a sort of 84 00:05:24,960 --> 00:05:28,920 Speaker 1: exchange system between these two markets. We we were planning 85 00:05:29,000 --> 00:05:31,479 Speaker 1: really to build a big sead on in China and 86 00:05:31,560 --> 00:05:35,080 Speaker 1: important in to continue importing it into US, which we 87 00:05:35,120 --> 00:05:37,680 Speaker 1: have been doing for some years. And then the one 88 00:05:37,720 --> 00:05:41,200 Speaker 1: built in South Carolina was intended to go the other way. 89 00:05:41,400 --> 00:05:43,919 Speaker 1: But of course with very high carrifts, we have to 90 00:05:43,960 --> 00:05:46,599 Speaker 1: be able, we have to react to that. So right 91 00:05:46,640 --> 00:05:49,880 Speaker 1: now we're planning to build the car we're building in 92 00:05:49,920 --> 00:05:54,160 Speaker 1: South Carolina also in China because will be too expensive 93 00:05:54,200 --> 00:06:00,320 Speaker 1: paying the twenty five percent importunities. But still I say, 94 00:06:00,400 --> 00:06:04,599 Speaker 1: we have mitigated these new tariffs so far, so bye bye, 95 00:06:05,440 --> 00:06:07,960 Speaker 1: and we were led to have the factory in the US. 96 00:06:08,040 --> 00:06:10,560 Speaker 1: But I mean if it would continue then of course 97 00:06:10,600 --> 00:06:13,360 Speaker 1: would be really a big drawback for I think all 98 00:06:13,600 --> 00:06:18,040 Speaker 1: all car makers, if for also US and and US 99 00:06:18,120 --> 00:06:21,480 Speaker 1: would introduce high tarriffs and that would be at the 100 00:06:21,640 --> 00:06:24,520 Speaker 1: end more expensive cards for the consumer. I think they 101 00:06:24,560 --> 00:06:27,200 Speaker 1: are the ones who will be paying the bill. Let 102 00:06:27,279 --> 00:06:31,520 Speaker 1: them thanks very much for being with us. How can Samuelson, 103 00:06:31,680 --> 00:06:35,680 Speaker 1: chief executive officer of Volvo and joining us from the 104 00:06:35,839 --> 00:06:37,719 Speaker 1: l A automobile show And I don't think it's going 105 00:06:37,760 --> 00:06:39,760 Speaker 1: to be an automobile show anymore, at least I think 106 00:06:39,800 --> 00:06:42,320 Speaker 1: it's just going to be a technology show the way 107 00:06:42,360 --> 00:06:44,960 Speaker 1: it's going. Yeah, Well, honestly, it's interesting to me. The 108 00:06:45,000 --> 00:06:48,760 Speaker 1: focus on the practical experience. How to download your music, 109 00:06:49,120 --> 00:06:52,880 Speaker 1: your audiobooks, you know, how do you create an use 110 00:06:52,960 --> 00:06:57,080 Speaker 1: those systems? Right, exactly, and that if becomes tutorial exactly 111 00:06:57,160 --> 00:06:59,960 Speaker 1: that in tech Indeed, all right, you're listening to blue 112 00:07:00,080 --> 00:07:03,880 Speaker 1: Berg Markets. We are broadcasting from the Bloomberg Year Ahead 113 00:07:03,960 --> 00:07:11,160 Speaker 1: Summit at Bloomberg World headquarters. We are so lucky to 114 00:07:11,200 --> 00:07:14,160 Speaker 1: be joined by Franz Bueller, his president and chief executive 115 00:07:14,160 --> 00:07:17,080 Speaker 1: officer of Aho Delis, which is based in the nether Lends, 116 00:07:17,080 --> 00:07:19,920 Speaker 1: but he joins us here at our headquarters. Um this 117 00:07:20,080 --> 00:07:23,640 Speaker 1: brand is the owner of staff in Shop, peep, Had 118 00:07:23,840 --> 00:07:28,040 Speaker 1: Food Line, Giant and Hannaford. So right now, do you 119 00:07:28,200 --> 00:07:31,440 Speaker 1: view trade as potentially the biggest threat to your business 120 00:07:31,520 --> 00:07:35,400 Speaker 1: or technological changes that you need to keep up with. Yeah, 121 00:07:35,440 --> 00:07:38,480 Speaker 1: that's for sure. The market is still very competitive and 122 00:07:38,520 --> 00:07:40,560 Speaker 1: it will also remain the same in the next year. 123 00:07:41,080 --> 00:07:43,120 Speaker 1: And you see that technology is going to have a 124 00:07:43,200 --> 00:07:47,440 Speaker 1: big impact on industry for sure, to making customer journey 125 00:07:47,480 --> 00:07:50,160 Speaker 1: even more attractive, to make it easier for customers to 126 00:07:50,360 --> 00:07:53,760 Speaker 1: prepare the shop to predict their list, but also to 127 00:07:53,880 --> 00:07:56,920 Speaker 1: give them more information on all kinds of things like 128 00:07:57,000 --> 00:08:00,400 Speaker 1: food and navigation nounhealthier choices for food. So I think 129 00:08:00,440 --> 00:08:02,960 Speaker 1: technology will be is going to play a big role. 130 00:08:03,240 --> 00:08:05,400 Speaker 1: Another thing what's going to be an important thing on 131 00:08:05,440 --> 00:08:07,880 Speaker 1: technology is the whole food provenance and we just had 132 00:08:07,880 --> 00:08:11,360 Speaker 1: the romaine lettuce uh scare in the US a big thing, 133 00:08:11,520 --> 00:08:14,280 Speaker 1: and I think more and more people talk about technology 134 00:08:14,400 --> 00:08:16,679 Speaker 1: like blockchain to make sure that if the full supply 135 00:08:16,880 --> 00:08:19,640 Speaker 1: chain visible. And the third thing on technology is that 136 00:08:20,040 --> 00:08:22,680 Speaker 1: if you look at at labor in general, um, there's 137 00:08:22,680 --> 00:08:24,680 Speaker 1: a lot of things in the supply chain of retailers 138 00:08:24,800 --> 00:08:27,600 Speaker 1: or where we can gain efficiencies with the more automation, 139 00:08:27,640 --> 00:08:30,960 Speaker 1: more robotiz robotization of warehouses and these kind of things. 140 00:08:30,960 --> 00:08:34,040 Speaker 1: So technology will be in a very important factors for 141 00:08:34,040 --> 00:08:37,839 Speaker 1: the coming years. Are you also looking to shrink the 142 00:08:37,960 --> 00:08:43,240 Speaker 1: actual size of the grocery store make it smaller? I 143 00:08:43,280 --> 00:08:47,680 Speaker 1: think what we can see is that that online will 144 00:08:47,760 --> 00:08:51,120 Speaker 1: have an impact on the bigger stores, but we use 145 00:08:51,200 --> 00:08:54,600 Speaker 1: that space to have even more and stronger fresh parameter 146 00:08:54,720 --> 00:08:56,760 Speaker 1: in those stores, to do more in organic, to do 147 00:08:56,880 --> 00:09:00,000 Speaker 1: more in fresh food, and to have better offers UM. 148 00:09:00,040 --> 00:09:02,680 Speaker 1: And at the same time, we also operate the smaller 149 00:09:02,720 --> 00:09:05,160 Speaker 1: convenience stores, and we have a lot of them in Europe, 150 00:09:05,400 --> 00:09:07,640 Speaker 1: of course, and I think there's also potential in the 151 00:09:07,720 --> 00:09:12,000 Speaker 1: US to operate smaller stores, smaller supermarkets. So you were 152 00:09:12,000 --> 00:09:14,840 Speaker 1: speaking to a publication earlier this month and you said 153 00:09:14,880 --> 00:09:18,319 Speaker 1: that your company is in a good position for US 154 00:09:18,440 --> 00:09:21,960 Speaker 1: mergers and acquisitions. What kinds of companies are you thinking 155 00:09:22,000 --> 00:09:26,000 Speaker 1: about and how how quickly WI let's play out? Yeah, 156 00:09:26,280 --> 00:09:28,680 Speaker 1: we UM we launched two weeks ago. This is leading 157 00:09:28,720 --> 00:09:32,760 Speaker 1: together strategy UM where growth is very important, but also 158 00:09:32,880 --> 00:09:35,079 Speaker 1: non organic growth, which is an opportunity. And if you 159 00:09:35,240 --> 00:09:37,440 Speaker 1: just stick to the US on the East Coast, I 160 00:09:37,440 --> 00:09:39,360 Speaker 1: think that we will see in further consolidation on the 161 00:09:39,400 --> 00:09:42,760 Speaker 1: East Coast where a lot of companies cannot make up 162 00:09:42,840 --> 00:09:44,640 Speaker 1: let's say, what the investments they have to make in 163 00:09:44,679 --> 00:09:46,920 Speaker 1: technology and online and these kind of things, so that 164 00:09:46,920 --> 00:09:49,840 Speaker 1: we have further consolidation. And with the branch you just 165 00:09:49,920 --> 00:09:52,760 Speaker 1: mentioned where we are very proud about, we think that 166 00:09:52,800 --> 00:09:55,160 Speaker 1: we can deepen our footprint along the whole East Coast 167 00:09:55,200 --> 00:09:59,040 Speaker 1: by filling acquisitions or if we have other targets coming up, 168 00:09:59,080 --> 00:10:01,480 Speaker 1: then we would be interested and the names. No, no, 169 00:10:01,679 --> 00:10:04,280 Speaker 1: there's no no names at the moment. And you know 170 00:10:04,400 --> 00:10:08,000 Speaker 1: everything about for looking statements. Speak a little bit if 171 00:10:08,040 --> 00:10:13,199 Speaker 1: you can about in store dining and also the takeaway 172 00:10:13,240 --> 00:10:16,800 Speaker 1: prepared food business. I think that's a great question. You 173 00:10:16,840 --> 00:10:19,640 Speaker 1: see that more and more customers are looking for meal 174 00:10:19,679 --> 00:10:22,800 Speaker 1: solutions and or to save time, or to get inspiration 175 00:10:23,120 --> 00:10:26,880 Speaker 1: or to have in a very healthy proposition. But take 176 00:10:26,920 --> 00:10:30,320 Speaker 1: it out and uh, and in store dining is part 177 00:10:30,320 --> 00:10:32,040 Speaker 1: of this. We have now a lot of stores where 178 00:10:32,040 --> 00:10:35,240 Speaker 1: we have kitchens inside where people can consume their meals. 179 00:10:35,920 --> 00:10:38,760 Speaker 1: We have more and more investments in meal solutions, if 180 00:10:38,760 --> 00:10:42,000 Speaker 1: it's very nice salads, if it's unique meals with a 181 00:10:42,080 --> 00:10:45,520 Speaker 1: very healthy proposition. So I think that whole uh, what 182 00:10:45,640 --> 00:10:49,720 Speaker 1: you call out of home meal solutions, that whole field 183 00:10:49,800 --> 00:10:52,280 Speaker 1: is going to blur also with the supermarkets and and 184 00:10:52,440 --> 00:10:54,160 Speaker 1: and the restaurants. I think that will be in a 185 00:10:54,160 --> 00:10:56,280 Speaker 1: common space we call it that we would have to 186 00:10:56,320 --> 00:11:01,880 Speaker 1: gain our share of stomach irrespectively where that beautiful meal 187 00:11:01,960 --> 00:11:03,880 Speaker 1: is coming from. What does that say to him about 188 00:11:03,880 --> 00:11:06,800 Speaker 1: our delayed gratification ability that we need to see food 189 00:11:06,800 --> 00:11:11,360 Speaker 1: and consume it immediately. I'm curious, just you're talking about scale, 190 00:11:11,960 --> 00:11:15,319 Speaker 1: and I have to wonder how important Amazon and Walmart 191 00:11:15,400 --> 00:11:19,040 Speaker 1: are to the sort of pressure and race to advance 192 00:11:19,080 --> 00:11:23,000 Speaker 1: sufficiently technologically. I mean, are you finding it increasingly difficult 193 00:11:23,200 --> 00:11:27,720 Speaker 1: to compete given their scale? Um also a good question. 194 00:11:27,760 --> 00:11:30,319 Speaker 1: But if we look at scale for us, it's a 195 00:11:30,800 --> 00:11:33,640 Speaker 1: relative market share important in the markets where we operate. 196 00:11:34,040 --> 00:11:36,120 Speaker 1: We have number one and two positions in all the 197 00:11:36,160 --> 00:11:39,280 Speaker 1: markets along the East coast from Bangor in Maine to 198 00:11:39,280 --> 00:11:42,360 Speaker 1: to u to the southern part of of the Carolinas. 199 00:11:42,400 --> 00:11:46,120 Speaker 1: And it's about local scale, so local market share, and 200 00:11:46,160 --> 00:11:48,559 Speaker 1: we connect them with a great local branch you just mentioned. 201 00:11:49,080 --> 00:11:52,760 Speaker 1: And we believe that a strong local market share combined 202 00:11:52,800 --> 00:11:56,079 Speaker 1: with brand strength is that that in an omnique channelso 203 00:11:56,240 --> 00:11:59,960 Speaker 1: stores an online proposition together that is the strong company 204 00:12:00,160 --> 00:12:04,400 Speaker 1: proposition for customers. And with our fortified billion dollars of 205 00:12:05,200 --> 00:12:09,000 Speaker 1: of of sales, we have very strong positions and therefore 206 00:12:09,040 --> 00:12:12,880 Speaker 1: the necessary scale. Your online sales growth was a big 207 00:12:12,920 --> 00:12:15,600 Speaker 1: bright spot in the third quarter earnings results. In some 208 00:12:15,720 --> 00:12:20,439 Speaker 1: cases up nearly will be spending more money to build 209 00:12:20,480 --> 00:12:24,800 Speaker 1: that out. Yeah, we see that. We believe that consumers 210 00:12:25,320 --> 00:12:28,360 Speaker 1: love a proposition where you have a bricks and mortars 211 00:12:28,440 --> 00:12:32,000 Speaker 1: or store proposition linked and augmented with an online proposition 212 00:12:32,760 --> 00:12:37,240 Speaker 1: um and we grow quite fast. We also will accelerate 213 00:12:37,240 --> 00:12:40,520 Speaker 1: our growth in the US with people digital apps, and 214 00:12:40,800 --> 00:12:43,080 Speaker 1: for next year we see there also growth. A lot 215 00:12:43,160 --> 00:12:46,560 Speaker 1: of people talk about growth in online and magnificent figures everywhere. 216 00:12:46,920 --> 00:12:48,839 Speaker 1: We should realize that we are only in the food 217 00:12:48,880 --> 00:12:52,800 Speaker 1: business and fresh food and frozen food and chilled food. 218 00:12:53,080 --> 00:12:57,000 Speaker 1: There's a very different game than than selling refrigerators, electronics, 219 00:12:57,040 --> 00:12:59,800 Speaker 1: books and c d s and uh. And that's why 220 00:13:00,120 --> 00:13:02,640 Speaker 1: dead growth is not easy to make. And with a 221 00:13:02,679 --> 00:13:05,160 Speaker 1: one billion dollars at the moment, we are still leader 222 00:13:05,160 --> 00:13:08,200 Speaker 1: on the East Coast in food online twenty seconds or less. 223 00:13:08,240 --> 00:13:10,280 Speaker 1: I'm just wondering, do you think that Amazon has been 224 00:13:10,280 --> 00:13:14,120 Speaker 1: successful so far integrating Whole Foods. I don't know. They 225 00:13:14,160 --> 00:13:16,640 Speaker 1: don't give me their boardroom reports on this, but I 226 00:13:16,679 --> 00:13:20,400 Speaker 1: think they don't. Have you asked? I would love to 227 00:13:20,400 --> 00:13:22,880 Speaker 1: ask them, but I think the answer prompt But they 228 00:13:22,920 --> 00:13:25,320 Speaker 1: have You know, you know that our whole has check 229 00:13:25,360 --> 00:13:28,679 Speaker 1: out what they call checkout free stores. Yes, well we 230 00:13:28,720 --> 00:13:30,480 Speaker 1: have it. We have a lot of technology there, so 231 00:13:30,559 --> 00:13:33,240 Speaker 1: I'm not afraid of the technology we we we are 232 00:13:33,280 --> 00:13:35,920 Speaker 1: doing already amazing things in the US and in Europe, 233 00:13:36,559 --> 00:13:40,240 Speaker 1: but also on Amazon. Will see that fresh food looking 234 00:13:40,280 --> 00:13:44,400 Speaker 1: at Amazon Fresh. That is a difficult turf to be 235 00:13:44,480 --> 00:13:48,040 Speaker 1: very successful, and we have roughlyan hunter and thirty years 236 00:13:48,040 --> 00:13:50,360 Speaker 1: experience with food. Thanks very much for being with us. 237 00:13:50,400 --> 00:13:53,079 Speaker 1: Much appreciate it gets us already and hungry for lunch France. 238 00:13:53,120 --> 00:13:56,120 Speaker 1: Muller is the president and the chief executive of our 239 00:13:56,160 --> 00:13:59,080 Speaker 1: whole Del Hayes. I gotta say the late gratification that 240 00:13:59,160 --> 00:14:02,840 Speaker 1: is totally me an inability to do it. You're listening 241 00:14:02,880 --> 00:14:10,400 Speaker 1: to Bloomberg Radio. Healthcare is an area right for disruption. 242 00:14:10,559 --> 00:14:13,319 Speaker 1: Amazon is trying to do just that. Reported today in 243 00:14:13,360 --> 00:14:15,600 Speaker 1: the Wall Street Journal, they are starting to sell software 244 00:14:15,880 --> 00:14:20,040 Speaker 1: that minds patient medical records for information that doctors and 245 00:14:20,120 --> 00:14:23,120 Speaker 1: hospitals can use to improve treatment. Joining us now is 246 00:14:23,200 --> 00:14:26,800 Speaker 1: Lloyd Biner, Dean of the Stanford University School of Medicine. 247 00:14:26,800 --> 00:14:29,840 Speaker 1: We are so pleased to have you. Uh Dr, I'm 248 00:14:29,840 --> 00:14:34,240 Speaker 1: just curious from your perspective, is what Amazon doing exactly 249 00:14:34,680 --> 00:14:38,640 Speaker 1: what you're talking about in terms of modernizing healthcare and 250 00:14:38,840 --> 00:14:42,960 Speaker 1: using big data and the lessons therein to help patients. Yes, 251 00:14:43,120 --> 00:14:47,000 Speaker 1: I think, uh it's It's certainly one example of how 252 00:14:47,760 --> 00:14:50,840 Speaker 1: gleaning information from the massive amounts of data that exists 253 00:14:50,880 --> 00:14:55,120 Speaker 1: within electronic medical records, how that opers offers the opportunity 254 00:14:55,320 --> 00:14:58,080 Speaker 1: to really improve the delivery of healthcare. You know, in 255 00:14:58,200 --> 00:15:02,440 Speaker 1: order to really have individual lies, personalized healthcare, we have 256 00:15:02,520 --> 00:15:05,680 Speaker 1: to look at the results and the outcomes from thousands 257 00:15:05,680 --> 00:15:09,760 Speaker 1: and thousands of patients, uh in order to know what 258 00:15:10,600 --> 00:15:13,600 Speaker 1: the evidence would suggest is the best treatment and prevention 259 00:15:13,960 --> 00:15:16,760 Speaker 1: for disease in an individual patient. And I think what 260 00:15:16,960 --> 00:15:19,640 Speaker 1: I also read this morning in the Wall Street Journal 261 00:15:19,960 --> 00:15:23,560 Speaker 1: that Amazon is moving forward with is a step in 262 00:15:23,600 --> 00:15:26,720 Speaker 1: that direction, and I'm sure that other major tech firms 263 00:15:26,720 --> 00:15:30,440 Speaker 1: and cloud storage platforms are going to be interested in 264 00:15:30,480 --> 00:15:34,880 Speaker 1: the same sorts of topics. The limitation for getting information 265 00:15:34,920 --> 00:15:39,080 Speaker 1: from healthcare data today is not the AI or the algorithms, 266 00:15:39,160 --> 00:15:42,480 Speaker 1: or the ability to do deep learning and neural network 267 00:15:42,560 --> 00:15:45,680 Speaker 1: type approaches. Those are not the limiting factors. The limiting 268 00:15:45,720 --> 00:15:48,480 Speaker 1: factors being able to bring the get data together in 269 00:15:48,520 --> 00:15:51,320 Speaker 1: a way that those techniques of deep learning can be 270 00:15:51,360 --> 00:15:54,840 Speaker 1: applied in a meaningful way. Dr Minor, I'm sure you've 271 00:15:54,840 --> 00:15:57,560 Speaker 1: seen all of the charts and comparisons in terms of 272 00:15:57,600 --> 00:16:01,479 Speaker 1: how much per capita the United States spends on healthcare. 273 00:16:02,240 --> 00:16:07,840 Speaker 1: What is your thought about why do we spend more 274 00:16:07,880 --> 00:16:12,600 Speaker 1: than any other developed country and we don't necessarily live 275 00:16:12,880 --> 00:16:17,160 Speaker 1: longer or any better than the citizens of Switzerland, Germany, 276 00:16:17,280 --> 00:16:19,880 Speaker 1: the Netherlands and so on. Why do we spend such 277 00:16:19,920 --> 00:16:26,000 Speaker 1: an outsized amount in two minutes or less? Right? Clearly, Uh, 278 00:16:26,120 --> 00:16:29,680 Speaker 1: there there are lots of factors. Certainly the payment system 279 00:16:29,760 --> 00:16:34,680 Speaker 1: IS is one prominent factor. Um. You know, moving more 280 00:16:34,760 --> 00:16:38,640 Speaker 1: towards value based reimbursement IS is something that I think 281 00:16:39,000 --> 00:16:41,120 Speaker 1: we have begun to the United States, but clearly we 282 00:16:41,160 --> 00:16:45,080 Speaker 1: need to continue along that pathway. In a strictly fee 283 00:16:45,160 --> 00:16:48,440 Speaker 1: for service world, it becomes difficult to align the incentives, 284 00:16:48,480 --> 00:16:51,760 Speaker 1: which should be based upon outcomes, that is, achieving the 285 00:16:51,840 --> 00:16:55,840 Speaker 1: best health care outcomes with the payments. I mean, that's 286 00:16:55,880 --> 00:16:59,720 Speaker 1: the way any any sort of economy works, uh, when 287 00:16:59,720 --> 00:17:01,880 Speaker 1: it work as well. So that's been a challenge in 288 00:17:01,920 --> 00:17:05,640 Speaker 1: the United States. Also, we focused far too much on 289 00:17:06,560 --> 00:17:09,199 Speaker 1: the latter stages of illness. We need to focus a 290 00:17:09,240 --> 00:17:12,280 Speaker 1: lot more on prediction and prevention, and that's really been 291 00:17:12,280 --> 00:17:16,560 Speaker 1: our goal. Uh. In Stanford Medicine, we define our strategic 292 00:17:16,600 --> 00:17:20,680 Speaker 1: initiative as being precision health. We distinguish that from precision medicine. 293 00:17:20,920 --> 00:17:23,720 Speaker 1: And then we also want to focus great science, great 294 00:17:23,720 --> 00:17:27,479 Speaker 1: technology on prediction and prevention in addition to of course 295 00:17:27,760 --> 00:17:31,160 Speaker 1: achieving the cures for those complex diseases. But we ought 296 00:17:31,160 --> 00:17:34,440 Speaker 1: to be much more focused across the board on being 297 00:17:34,440 --> 00:17:37,720 Speaker 1: better at prediction and prevention. That will reduce the demands 298 00:17:37,760 --> 00:17:40,600 Speaker 1: on the system, because so much of the healthcare expenditures 299 00:17:40,600 --> 00:17:43,240 Speaker 1: in the United States has spent in the most complex 300 00:17:43,280 --> 00:17:46,000 Speaker 1: diseases and in the latter stages of life. So I 301 00:17:46,040 --> 00:17:49,000 Speaker 1: want you to look into the future. The topic of 302 00:17:49,040 --> 00:17:52,440 Speaker 1: your panel that's upcoming is the future of healthcare, and 303 00:17:52,800 --> 00:17:56,320 Speaker 1: you envision a world where we have holographic m r 304 00:17:56,560 --> 00:17:59,440 Speaker 1: s and scans and such so that radiologists can more 305 00:17:59,480 --> 00:18:03,919 Speaker 1: accurately understand what's going on. Tell us about how close 306 00:18:04,000 --> 00:18:06,240 Speaker 1: we are to the future. You would like to see 307 00:18:06,440 --> 00:18:09,359 Speaker 1: at some of the features of that future. I think 308 00:18:09,840 --> 00:18:12,679 Speaker 1: the advances and we started the discussion today talking about 309 00:18:13,240 --> 00:18:17,960 Speaker 1: getting information from huge sources of data, so broadly speaking, 310 00:18:18,080 --> 00:18:22,320 Speaker 1: under the heading of digital health, both the data mining 311 00:18:22,359 --> 00:18:25,920 Speaker 1: aspects as well as the consumer focused devices and technologies, 312 00:18:26,400 --> 00:18:31,480 Speaker 1: those offer remarkable opportunity to democratize healthcare delivery. You know, 313 00:18:31,600 --> 00:18:35,120 Speaker 1: last year are a group of computer scientists at Stanford 314 00:18:35,119 --> 00:18:40,320 Speaker 1: working with our dermatologists. Using a large database of images 315 00:18:40,359 --> 00:18:43,760 Speaker 1: of skin lesions taken with smartphones, we're able to develop 316 00:18:43,760 --> 00:18:46,480 Speaker 1: a deep learning based algorithm that can make a diagnosis 317 00:18:46,480 --> 00:18:49,960 Speaker 1: of a skin lesion as accurately from this algorithm as 318 00:18:49,960 --> 00:18:53,480 Speaker 1: a trained dermatologist. Now, that has a remarkable Now that 319 00:18:53,760 --> 00:18:56,840 Speaker 1: not every community has a dermatologist, and by the way, 320 00:18:56,960 --> 00:18:59,320 Speaker 1: in the communities that have dermatologists, you can't always get 321 00:18:59,359 --> 00:19:03,280 Speaker 1: an appointment. But but and that's one example of many, 322 00:19:03,320 --> 00:19:06,920 Speaker 1: many others of how we can use the same type 323 00:19:06,920 --> 00:19:10,560 Speaker 1: of disruptors that have been so impactful and financial services 324 00:19:10,600 --> 00:19:13,040 Speaker 1: in ordering goods and services and apply those to healthcare. 325 00:19:13,160 --> 00:19:17,560 Speaker 1: All Right, So, how is privacy an obstacle here? Because 326 00:19:17,680 --> 00:19:20,520 Speaker 1: I would imagine people are concerned that some of the 327 00:19:20,520 --> 00:19:23,440 Speaker 1: big tech companies are gleaning all the information from everything 328 00:19:23,480 --> 00:19:26,160 Speaker 1: they do on their phones. Anyway, if they start taking 329 00:19:26,200 --> 00:19:29,720 Speaker 1: images and sort of connecting their health with their devices 330 00:19:29,760 --> 00:19:33,639 Speaker 1: that follow them around, how does that play out? Sure, 331 00:19:33,960 --> 00:19:36,919 Speaker 1: privacy is absolutely a concern. I think the key The 332 00:19:37,000 --> 00:19:41,679 Speaker 1: first step is transparency, so people have to know how 333 00:19:41,720 --> 00:19:44,520 Speaker 1: their data is going to be used. In the Wall 334 00:19:44,520 --> 00:19:47,119 Speaker 1: Street Journal report that you and I both read this morning, 335 00:19:47,119 --> 00:19:51,800 Speaker 1: it mentioned that Amazon furnishes a key that can only 336 00:19:51,920 --> 00:19:56,120 Speaker 1: be opened or used by the institution that that has 337 00:19:56,160 --> 00:19:58,760 Speaker 1: obtained the data. I know words Amazon will never access. 338 00:19:58,880 --> 00:20:03,160 Speaker 1: According to the report, the individuals uh that whose data 339 00:20:03,320 --> 00:20:06,679 Speaker 1: formed the basis of the deep learning process. You know, 340 00:20:06,760 --> 00:20:08,600 Speaker 1: that's a first step, but there are lots of other 341 00:20:08,640 --> 00:20:11,520 Speaker 1: steps that have to be taken as well. I would 342 00:20:11,560 --> 00:20:14,800 Speaker 1: hope that as we have this dialogue based upon transparency, 343 00:20:14,840 --> 00:20:19,480 Speaker 1: based upon really all of us in society understanding the 344 00:20:19,520 --> 00:20:23,520 Speaker 1: opportunity that these approaches offered to improve healthcare, I would 345 00:20:23,560 --> 00:20:25,400 Speaker 1: hope that each of us as an individual will become 346 00:20:25,440 --> 00:20:28,520 Speaker 1: more comfortable with how our data will be used, because 347 00:20:28,560 --> 00:20:30,679 Speaker 1: that's the only way we're really going to improve the 348 00:20:30,720 --> 00:20:34,280 Speaker 1: delivery of healthcare. Now, we just learned that CVS has 349 00:20:34,320 --> 00:20:39,199 Speaker 1: completed its acquisition of Ethna. What's your position, based on 350 00:20:39,280 --> 00:20:45,560 Speaker 1: your experience as a medical professional, this combination between pharmacy 351 00:20:45,640 --> 00:20:52,200 Speaker 1: benefit management corporations, regular pharmacies, and health insurers. I think 352 00:20:52,200 --> 00:20:55,800 Speaker 1: the CVS at A merger is representative of a broader 353 00:20:55,880 --> 00:20:59,720 Speaker 1: trend of consolidation in the healthcare market. In the country today. 354 00:21:00,080 --> 00:21:02,560 Speaker 1: You know, there can be economies of scale and efficiencies 355 00:21:02,640 --> 00:21:07,560 Speaker 1: from consolidation. There can also be concerns about UM about 356 00:21:07,720 --> 00:21:12,119 Speaker 1: how the competitive drive and the UH sort of individual 357 00:21:12,160 --> 00:21:14,760 Speaker 1: delivery systems and the innovation that comes from that, how 358 00:21:14,800 --> 00:21:18,919 Speaker 1: that might be affected by massive consolidation with CVS and 359 00:21:18,960 --> 00:21:22,719 Speaker 1: Etna and with other similar types of arrangements. What I 360 00:21:22,760 --> 00:21:27,920 Speaker 1: see is a desire to build truly vertically integrated delivery systems, 361 00:21:28,040 --> 00:21:32,560 Speaker 1: so where you and I, as as healthcare consumers, have 362 00:21:32,800 --> 00:21:36,240 Speaker 1: everything covered under one umbrella, and that includes being able 363 00:21:36,280 --> 00:21:40,240 Speaker 1: to get our prescriptions, uh under a comprehensive integrated plan. 364 00:21:40,720 --> 00:21:43,960 Speaker 1: All right, thanks very much for being with us. Dr 365 00:21:44,240 --> 00:21:48,440 Speaker 1: Lloyd Minor is the dean of Stanford University's School of Medicine, 366 00:21:48,800 --> 00:21:52,640 Speaker 1: and he is here at the Bloomberg The Year Ahead 367 00:21:52,760 --> 00:21:57,840 Speaker 1: conference talking about the future of healthcare and healthcare delivery. 368 00:21:58,320 --> 00:22:00,640 Speaker 1: Fascinating discussion. I love the do you have being able 369 00:22:00,680 --> 00:22:03,000 Speaker 1: to take a picture of something that concerns you and 370 00:22:03,119 --> 00:22:06,960 Speaker 1: having Dr Googleberg give me an answer. Yeah, while you're 371 00:22:07,000 --> 00:22:15,320 Speaker 1: in your autonomous driving vehicle drinking some champagne. This is Bloomberg. Today. 372 00:22:15,600 --> 00:22:19,600 Speaker 1: CBS Health has closed it's seventy billion dollar deal to 373 00:22:19,680 --> 00:22:23,080 Speaker 1: purchase the health insurer ETNA. Here to tell us more 374 00:22:23,119 --> 00:22:26,320 Speaker 1: about the world of healthcare. Michael Ray, Founder, chief executive 375 00:22:26,440 --> 00:22:30,240 Speaker 1: are Ex Savings Solutions. Michael, thank you very much for 376 00:22:30,320 --> 00:22:34,040 Speaker 1: being with us. We've been waiting for this deal to 377 00:22:34,119 --> 00:22:37,480 Speaker 1: close for many months. Do you think this is going 378 00:22:37,520 --> 00:22:42,119 Speaker 1: to really transform the way healthcare is delivered to Americans? No? 379 00:22:42,240 --> 00:22:45,800 Speaker 1: I do not, UM, I think that really what you 380 00:22:45,840 --> 00:22:48,280 Speaker 1: see here is a combination of two companies in the 381 00:22:48,320 --> 00:22:52,400 Speaker 1: healthcare space, one that handled, you know, strictly pharmacy benefits 382 00:22:52,400 --> 00:22:55,439 Speaker 1: and one that handled underwrote risk on the health insurer side. 383 00:22:56,000 --> 00:23:00,560 Speaker 1: I don't expect the consumer experience to change. I don't 384 00:23:00,560 --> 00:23:03,960 Speaker 1: expect costs to change because of it. Um. I really 385 00:23:03,960 --> 00:23:05,679 Speaker 1: just think it's it's kind of a combination and a 386 00:23:05,720 --> 00:23:09,439 Speaker 1: new brand. Michael. One thing that possibly could change the 387 00:23:09,520 --> 00:23:12,280 Speaker 1: landscape is the fact that big corporations are sort of 388 00:23:12,280 --> 00:23:15,360 Speaker 1: taking things into their own hands. We've talked about, for example, 389 00:23:15,800 --> 00:23:18,399 Speaker 1: h Berkshire Hathaway teaming up with JP Morgan and others 390 00:23:18,440 --> 00:23:21,720 Speaker 1: to create their own health network. UM. But you're seeing 391 00:23:21,760 --> 00:23:25,200 Speaker 1: it also with your own company, right, Yes, we are so. 392 00:23:25,240 --> 00:23:27,680 Speaker 1: We recently signed a deal with the health Print Health 393 00:23:27,680 --> 00:23:30,919 Speaker 1: Transformation Alliance the h t A, which is a combination 394 00:23:30,920 --> 00:23:34,679 Speaker 1: of about fifty companies American Express, Coke UM, some of 395 00:23:34,680 --> 00:23:37,880 Speaker 1: the some of the really large large players represents about 396 00:23:37,880 --> 00:23:40,680 Speaker 1: six million lives and they have really formed this coalition 397 00:23:40,720 --> 00:23:43,200 Speaker 1: to try to, to your point, take take things into 398 00:23:43,240 --> 00:23:45,639 Speaker 1: their own hands and actually start to exert some of 399 00:23:45,680 --> 00:23:48,600 Speaker 1: their own influence on what decisions are made and and 400 00:23:48,640 --> 00:23:53,360 Speaker 1: how how consumers navigate the space. So, is the consequence 401 00:23:53,440 --> 00:23:58,040 Speaker 1: for this potentially lowering the insurance costs for the companies 402 00:23:58,440 --> 00:24:02,120 Speaker 1: or is it having collective pressure on the drug makers 403 00:24:02,160 --> 00:24:04,760 Speaker 1: to lower prices. Yeah, it's gonna be both. So when 404 00:24:04,800 --> 00:24:08,400 Speaker 1: a market is efficient when information flows freely. The idea 405 00:24:08,640 --> 00:24:11,720 Speaker 1: is that when information is shared between the companies and 406 00:24:11,720 --> 00:24:14,879 Speaker 1: also when consumers have more information, they can navigate the 407 00:24:14,880 --> 00:24:17,200 Speaker 1: healthcare space like they do in every other facet of 408 00:24:17,240 --> 00:24:21,320 Speaker 1: their life. That makes wiser decisions and lower prices. Is 409 00:24:21,359 --> 00:24:24,760 Speaker 1: there any empirical evidence to support that. Absolutely. So. We 410 00:24:24,840 --> 00:24:27,679 Speaker 1: have a number of case study clients, some one fifty 411 00:24:27,680 --> 00:24:30,480 Speaker 1: thousand life group that uh we had a four to 412 00:24:30,560 --> 00:24:33,399 Speaker 1: one r o I and under fifteen months. It is 413 00:24:33,480 --> 00:24:37,200 Speaker 1: determined by how consumers navigate and begin to use tools 414 00:24:37,640 --> 00:24:39,960 Speaker 1: and that comes down to marketing and how they're positioned. 415 00:24:40,640 --> 00:24:42,320 Speaker 1: But at the end of the day, um, you know, 416 00:24:42,520 --> 00:24:44,960 Speaker 1: there's a lot of ideas in the market. When you 417 00:24:45,000 --> 00:24:47,560 Speaker 1: can actually produce our O, I that that's meaningful in 418 00:24:47,600 --> 00:24:50,200 Speaker 1: the world we live in. So, Michael, I think the 419 00:24:50,280 --> 00:24:53,000 Speaker 1: last time we talked was before the mid term elections. 420 00:24:53,400 --> 00:24:56,760 Speaker 1: We've gotten the midterm elections results. The Democrats took the House. 421 00:24:57,160 --> 00:24:59,440 Speaker 1: I'm just wondering what this means in terms of political 422 00:24:59,480 --> 00:25:05,359 Speaker 1: pressure on reducing pharmaceutical drug prices. Well, it's everyone agrees, 423 00:25:05,440 --> 00:25:09,040 Speaker 1: it's a it's a populist uh you know item. Everyone 424 00:25:09,040 --> 00:25:11,439 Speaker 1: agrees that they want drug prices to go down, at 425 00:25:11,480 --> 00:25:14,399 Speaker 1: least in their in their speaking uh you know, speeches. 426 00:25:14,920 --> 00:25:18,400 Speaker 1: But I don't expect anything to to actually change. Um. 427 00:25:18,440 --> 00:25:22,959 Speaker 1: You see it. There are too many market forces, too 428 00:25:23,000 --> 00:25:26,280 Speaker 1: many strong lobbies. You've got a you know, Republican Senate 429 00:25:26,320 --> 00:25:29,479 Speaker 1: in a in a Democratic House for starters. Um. So 430 00:25:29,520 --> 00:25:32,399 Speaker 1: there may be small, small things like the gag clause 431 00:25:32,480 --> 00:25:36,040 Speaker 1: was recently removed. Um, that's a very minor win. But 432 00:25:36,080 --> 00:25:38,280 Speaker 1: everyone will hold onto it and and make sure that 433 00:25:38,320 --> 00:25:40,960 Speaker 1: everyone knows, you know, during the next election cycle. But 434 00:25:41,080 --> 00:25:44,119 Speaker 1: really transformational change is going to be tough to come by. 435 00:25:44,440 --> 00:25:49,199 Speaker 1: Is transformational change stymied by the fact that Medicare and 436 00:25:49,359 --> 00:25:56,640 Speaker 1: Medicaid do not negotiate. Yes, so this is all at 437 00:25:56,640 --> 00:25:59,280 Speaker 1: the march, and this has nothing I mean, it's like saying, 438 00:25:59,800 --> 00:26:05,240 Speaker 1: you biggest customer has no say in the cost of 439 00:26:05,280 --> 00:26:08,560 Speaker 1: the product or service that they're buying. Correct, And I 440 00:26:08,680 --> 00:26:10,760 Speaker 1: you know, so that there was a very bad deal 441 00:26:10,800 --> 00:26:14,520 Speaker 1: made a while back on this and unfortunately we're living 442 00:26:14,520 --> 00:26:17,439 Speaker 1: with the consequences. And and some of these drug companies 443 00:26:17,480 --> 00:26:19,840 Speaker 1: have free reign. When they have, you know, a market 444 00:26:19,960 --> 00:26:22,560 Speaker 1: essentially cornered, they can make the price whatever they want, 445 00:26:22,640 --> 00:26:25,399 Speaker 1: get coverage and it costs taxpayers money. Okay, So this 446 00:26:25,440 --> 00:26:27,600 Speaker 1: goes back to what you're working on currently, getting a 447 00:26:27,680 --> 00:26:30,320 Speaker 1: number of big companies, including IBM, veries in an American 448 00:26:30,359 --> 00:26:34,160 Speaker 1: Express together UH to try to share pricing information with 449 00:26:34,200 --> 00:26:38,320 Speaker 1: their with their employees and exert their own pressure. If 450 00:26:38,440 --> 00:26:40,879 Speaker 1: all of the companies, the big corporations in the United 451 00:26:40,880 --> 00:26:45,160 Speaker 1: States joined forces and did some sort of thing like this, 452 00:26:46,920 --> 00:26:51,159 Speaker 1: could that be enough. My belief is yes. My belief 453 00:26:51,200 --> 00:26:53,359 Speaker 1: is that that is the that is the single best 454 00:26:53,400 --> 00:26:56,439 Speaker 1: bet to make, whether it's our company or another company 455 00:26:56,440 --> 00:26:59,159 Speaker 1: that's fulfilling that need. Uh. The market has to be 456 00:26:59,200 --> 00:27:01,840 Speaker 1: able to vote. It has kept markets in check in 457 00:27:02,000 --> 00:27:05,480 Speaker 1: every other industry, and we have to believe that if 458 00:27:05,680 --> 00:27:09,120 Speaker 1: if consumers understand what their decisions are, what their options are, 459 00:27:09,280 --> 00:27:12,320 Speaker 1: they can make better decisions and that will regulate a market. 460 00:27:13,359 --> 00:27:18,680 Speaker 1: Will we see an end to tax credits for orphan drugs? Um? 461 00:27:18,720 --> 00:27:21,640 Speaker 1: I don't think so. No, And and and I'm not 462 00:27:21,680 --> 00:27:27,000 Speaker 1: necessarily opposed to those Um. There are some some disease 463 00:27:27,040 --> 00:27:31,280 Speaker 1: states that deserve those dollars in my opinion. Um, but 464 00:27:31,320 --> 00:27:33,240 Speaker 1: I don't think that they'll go away. So to the 465 00:27:33,280 --> 00:27:36,520 Speaker 1: point that you were just talking about, if you could 466 00:27:36,520 --> 00:27:37,800 Speaker 1: just give us a little bit of a sense of 467 00:27:37,840 --> 00:27:42,080 Speaker 1: what your platform does and whether you actually see that happening, 468 00:27:42,119 --> 00:27:46,480 Speaker 1: whether big corporations are accelerating their move into taking control 469 00:27:46,520 --> 00:27:49,760 Speaker 1: of healthcare costs themselves enough that there actually could be 470 00:27:49,840 --> 00:27:53,879 Speaker 1: some kind of reduction intro process. Yeah. So big corporations 471 00:27:53,920 --> 00:27:56,440 Speaker 1: target for example, UM, you know they're on the hook 472 00:27:56,520 --> 00:27:58,440 Speaker 1: for to pay a lot of money on the back 473 00:27:58,480 --> 00:28:01,560 Speaker 1: side of a pharmacy claim aime. Um. The thought is, though, 474 00:28:01,600 --> 00:28:04,640 Speaker 1: if they can empower their consumers to understand when they're 475 00:28:04,680 --> 00:28:07,240 Speaker 1: at the doctor's office or even after. If they're trying 476 00:28:07,240 --> 00:28:09,480 Speaker 1: to treat blood pressure, there might be ten different agents 477 00:28:09,520 --> 00:28:12,159 Speaker 1: they could use. Um each of those agents have different 478 00:28:12,160 --> 00:28:14,600 Speaker 1: prices depending on the pharmacy that is that has chosen. 479 00:28:14,880 --> 00:28:18,840 Speaker 1: If you can distill that complex information down into something 480 00:28:19,000 --> 00:28:22,520 Speaker 1: that's simple for consumers to understand, they can make choices 481 00:28:22,560 --> 00:28:25,399 Speaker 1: at that point and pick the lowest cost pharmacy the 482 00:28:25,440 --> 00:28:28,439 Speaker 1: lowest cost drug and not have anyone telling them what 483 00:28:28,520 --> 00:28:31,680 Speaker 1: to do. People naturally resist when they're forced to make 484 00:28:31,720 --> 00:28:34,240 Speaker 1: a you know, to make a decision that the third 485 00:28:34,240 --> 00:28:37,440 Speaker 1: party wants. We don't have that bias. We don't care 486 00:28:37,520 --> 00:28:39,200 Speaker 1: which one they picked. We just want them to know 487 00:28:39,240 --> 00:28:43,200 Speaker 1: that the options, and like you would expect the time, 488 00:28:43,200 --> 00:28:46,640 Speaker 1: they pick the lowest price pharmacy and the lowest price drug. Michael, 489 00:28:46,680 --> 00:28:50,040 Speaker 1: whenever I meet anyone who comes to visit the United States, 490 00:28:50,080 --> 00:28:54,440 Speaker 1: particularly from Europe, may talk about the health care system 491 00:28:54,440 --> 00:28:59,200 Speaker 1: and the single payer options that exist in Europe. They 492 00:28:59,520 --> 00:29:02,840 Speaker 1: ask one question, how do you live with the anxiety 493 00:29:02,880 --> 00:29:08,200 Speaker 1: and stress and complexity of healthcare in the United States? 494 00:29:09,200 --> 00:29:12,120 Speaker 1: Is there any evidence to suggest that single payer would 495 00:29:12,160 --> 00:29:16,400 Speaker 1: be a way to go? And pencil you ask highly 496 00:29:16,480 --> 00:29:19,960 Speaker 1: charged question UM, yeah, there there is. You know, there's 497 00:29:20,000 --> 00:29:22,840 Speaker 1: some efficiencies and there are rules that are put in 498 00:29:22,880 --> 00:29:25,280 Speaker 1: place to control things like drug pricing in Europe, and 499 00:29:25,320 --> 00:29:28,000 Speaker 1: those things absolutely can have a big effect. We were 500 00:29:28,000 --> 00:29:30,720 Speaker 1: just talking before this, and you know it, there is 501 00:29:30,800 --> 00:29:33,719 Speaker 1: high anxiety to be sick in America and and that 502 00:29:33,760 --> 00:29:36,840 Speaker 1: goes for sick people and healthy people. Nobody wants that 503 00:29:36,920 --> 00:29:39,160 Speaker 1: to be them because you don't know what you're going 504 00:29:39,200 --> 00:29:43,760 Speaker 1: to be exposed to. UM, So it there's anxiety. UM 505 00:29:43,840 --> 00:29:46,280 Speaker 1: You're gonna need people to administer those benefits either way, 506 00:29:46,280 --> 00:29:48,960 Speaker 1: whether it's a single payer of multiple players. Unfortunately, I 507 00:29:48,960 --> 00:29:51,040 Speaker 1: don't think it's gonna it's gonna happen in the near future. 508 00:29:51,200 --> 00:29:52,760 Speaker 1: Michael right, Thank you so much for being with us. 509 00:29:52,800 --> 00:29:55,120 Speaker 1: Michael Ray is founder in chief executive officer of Our 510 00:29:55,360 --> 00:29:58,720 Speaker 1: Saving Solutions, based in over Limp Park, Kansas, but joining 511 00:29:58,840 --> 00:30:04,080 Speaker 1: us here at our thirty Lexington headquarters. Do Not Get Sick. 512 00:30:05,520 --> 00:30:08,040 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 513 00:30:08,400 --> 00:30:12,280 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts, SoundCloud, 514 00:30:12,400 --> 00:30:15,880 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 515 00:30:15,920 --> 00:30:19,920 Speaker 1: on Twitter at pim Fox. I'm on Twitter at Lisa Abramo. 516 00:30:20,040 --> 00:30:22,640 Speaker 1: It's one before the podcast. You can always catch us 517 00:30:22,680 --> 00:30:24,240 Speaker 1: worldwide on Bloomberg Radio