1 00:00:00,040 --> 00:00:03,200 Speaker 1: Doctor Jim Keeney, who has been with this show for 2 00:00:03,279 --> 00:00:08,200 Speaker 1: what twenty five thirty years? Maybe, all right, Jim, let's 3 00:00:08,240 --> 00:00:11,760 Speaker 1: talk about the amount of money that the government is 4 00:00:11,800 --> 00:00:15,480 Speaker 1: putting into health system, particularly and we talked about this 5 00:00:15,520 --> 00:00:19,400 Speaker 1: earlier rural healthcare, because that seems to be one of 6 00:00:19,440 --> 00:00:23,240 Speaker 1: the areas is going to be most affected and it's 7 00:00:23,400 --> 00:00:26,079 Speaker 1: money is coming in. So where's the bitch here? 8 00:00:27,560 --> 00:00:31,640 Speaker 2: Yeah, I mean, so rural hospitals are, you know, they're 9 00:00:31,720 --> 00:00:34,040 Speaker 2: kind of lifeline. We all think we don't need rural hospitals, 10 00:00:34,080 --> 00:00:36,760 Speaker 2: but we all tend to, you know, go on trips 11 00:00:36,880 --> 00:00:40,159 Speaker 2: drive and you'd say, you never know when you're actually 12 00:00:40,159 --> 00:00:42,199 Speaker 2: going to be in rural hospital, even if you live 13 00:00:42,280 --> 00:00:46,479 Speaker 2: in an urban area. But rural hospitals don't have the 14 00:00:46,600 --> 00:00:51,320 Speaker 2: same type of operation as a city hospital. We in 15 00:00:51,400 --> 00:00:54,360 Speaker 2: city hospitals, we have a certain amount of commercial insurance, 16 00:00:54,560 --> 00:00:57,960 Speaker 2: and you know, we it's well known that hospitals try 17 00:00:58,000 --> 00:01:00,480 Speaker 2: and cost shift. You know, the more money they can 18 00:01:00,520 --> 00:01:03,760 Speaker 2: make on commercial insurance is the less they have to 19 00:01:03,800 --> 00:01:09,320 Speaker 2: rely on the underpayments of Medicaid. But rural hospitals can't 20 00:01:09,319 --> 00:01:12,200 Speaker 2: do that. They are mostly Medicaid. They end up with 21 00:01:12,319 --> 00:01:15,360 Speaker 2: margins that are about two percent, so when there's any 22 00:01:15,440 --> 00:01:18,400 Speaker 2: shift in the environment, they really get in trouble fast. 23 00:01:18,880 --> 00:01:22,480 Speaker 2: And so the Big Beautiful Bill, it cut nine hundred 24 00:01:22,520 --> 00:01:25,520 Speaker 2: billion dollars out of healthcare over the next ten years, 25 00:01:25,560 --> 00:01:29,240 Speaker 2: but cut nine hundred billion out and then they announced 26 00:01:29,640 --> 00:01:32,200 Speaker 2: recently that they're going to give up fifty billion in 27 00:01:32,280 --> 00:01:34,760 Speaker 2: grants over the next five years, so about ten billion 28 00:01:34,760 --> 00:01:41,959 Speaker 2: a year in grants to rural hospitals. So it's with 29 00:01:42,120 --> 00:01:44,600 Speaker 2: interesting to me, perked out my interest because it was marketed. 30 00:01:44,640 --> 00:01:46,360 Speaker 2: It looks like it is marketed as look what we're 31 00:01:46,400 --> 00:01:48,720 Speaker 2: doing for rural hospitals. But at the end of the day, 32 00:01:48,880 --> 00:01:50,760 Speaker 2: it's a it's a bigger cut we got. We took 33 00:01:50,800 --> 00:01:53,800 Speaker 2: away nine hundred billion and we're given back fifty billion. 34 00:01:54,320 --> 00:01:59,560 Speaker 1: So that it seems that's across the board with healthcare 35 00:02:00,120 --> 00:02:05,240 Speaker 1: that under the Big Beautiful Bill, and that's certainly the 36 00:02:05,320 --> 00:02:09,800 Speaker 1: border enforcement got, you know, tons of money, and the 37 00:02:09,800 --> 00:02:14,320 Speaker 1: military got tons of money, but seems like healthcare was 38 00:02:14,480 --> 00:02:18,079 Speaker 1: one of the if not the biggest areas that were 39 00:02:18,200 --> 00:02:23,040 Speaker 1: hit the most. Buy the Big Beautiful Bill. You know, 40 00:02:23,160 --> 00:02:25,680 Speaker 1: are people in the industry, and that's you in the 41 00:02:25,720 --> 00:02:28,920 Speaker 1: medical world. Certainly you're upset, But how frightened are you 42 00:02:29,000 --> 00:02:31,360 Speaker 1: that medical care in this country is really going to 43 00:02:31,400 --> 00:02:32,519 Speaker 1: drop pretty dramatically. 44 00:02:33,880 --> 00:02:38,600 Speaker 2: Yeah, I mean this will definitely impact certain hospitals, especially 45 00:02:38,680 --> 00:02:42,120 Speaker 2: those ones they were talking about, because you know, again 46 00:02:42,240 --> 00:02:47,040 Speaker 2: no room margin for error here. And now the infrastructure 47 00:02:47,160 --> 00:02:51,600 Speaker 2: is also getting old, and so hospitals. Ideally you would 48 00:02:51,639 --> 00:02:55,520 Speaker 2: run a business with a replacement budget right where you 49 00:02:56,040 --> 00:02:58,359 Speaker 2: over time. You know, a CT scanner costs a million 50 00:02:58,400 --> 00:03:00,600 Speaker 2: dollars and at the last ten years, so you need 51 00:03:00,600 --> 00:03:03,000 Speaker 2: to put away one hundred thousand dollars a year for 52 00:03:03,320 --> 00:03:05,040 Speaker 2: ten years so that at the end of that life 53 00:03:05,040 --> 00:03:07,600 Speaker 2: cycle you can buy a new one. Nobody does that. 54 00:03:07,760 --> 00:03:09,840 Speaker 2: They don't have the money to do that. So the 55 00:03:09,880 --> 00:03:14,040 Speaker 2: infrastructure is really aging a lot. You've got a lot 56 00:03:14,080 --> 00:03:16,919 Speaker 2: of hospitals and you'll find that the CT scanner doesn't 57 00:03:16,919 --> 00:03:18,840 Speaker 2: work on a regular basis, that it spends a lot 58 00:03:18,840 --> 00:03:21,800 Speaker 2: of time in repair. You look at simple things like 59 00:03:21,840 --> 00:03:25,840 Speaker 2: the facility itself. I mean, they're all struggling with these 60 00:03:25,880 --> 00:03:29,919 Speaker 2: last range. I know multiple hospitals that struggled with water 61 00:03:30,000 --> 00:03:33,400 Speaker 2: intrusion and because their structure is just not what it 62 00:03:33,400 --> 00:03:38,600 Speaker 2: needs to be. So you know, we're all struggling people 63 00:03:38,640 --> 00:03:41,160 Speaker 2: come to the ear, they feel it because the weights 64 00:03:41,160 --> 00:03:45,120 Speaker 2: are incredible, and that's not going to get any better. 65 00:03:45,760 --> 00:03:49,640 Speaker 1: Yeah, we spend a lot of time talking about your 66 00:03:49,840 --> 00:03:53,040 Speaker 1: organization and you're now running a hospital, at least the 67 00:03:53,480 --> 00:03:57,119 Speaker 1: medical part of the hospital. And you know, I never 68 00:03:57,160 --> 00:04:01,240 Speaker 1: asked you this question, but there you are needing an 69 00:04:01,400 --> 00:04:03,600 Speaker 1: MRI machine. It's a million bucks, a million and a 70 00:04:03,640 --> 00:04:07,080 Speaker 1: half dollars. You can't afford it. Does the hospital borrow 71 00:04:07,360 --> 00:04:11,560 Speaker 1: money like any other commercial venture, to pay for big 72 00:04:11,600 --> 00:04:12,360 Speaker 1: ticket items? 73 00:04:13,840 --> 00:04:16,120 Speaker 2: Yeah, I mean there's there's two ways hospital run. The 74 00:04:16,160 --> 00:04:19,360 Speaker 2: most common is not for profit, So not for profit 75 00:04:19,640 --> 00:04:23,000 Speaker 2: can issue bonds, and then those bonds are a way 76 00:04:23,040 --> 00:04:26,799 Speaker 2: of like of taking down a loan and getting money 77 00:04:26,800 --> 00:04:29,919 Speaker 2: to pay for items like that. You try and do 78 00:04:30,000 --> 00:04:33,240 Speaker 2: fundraising as well. So a lot of times when we 79 00:04:33,520 --> 00:04:36,000 Speaker 2: do anything, you know, maybe a third of the money 80 00:04:36,279 --> 00:04:39,480 Speaker 2: or a little bit less will come from philanthropy, and 81 00:04:39,520 --> 00:04:42,479 Speaker 2: then the rast will come either from operating budget or 82 00:04:42,680 --> 00:04:46,080 Speaker 2: from things like issuing a bond if you can. There's 83 00:04:46,120 --> 00:04:48,719 Speaker 2: a lot of hospitals are already they can't do that. 84 00:04:48,760 --> 00:04:51,760 Speaker 2: They don't have any any assets or any ability to 85 00:04:51,800 --> 00:04:55,800 Speaker 2: pay back, so their rate they're bond rating is too low. 86 00:04:57,160 --> 00:04:59,880 Speaker 2: The for profit hospitals there, of course, you know they 87 00:05:00,080 --> 00:05:04,839 Speaker 2: and just you know, borrow money like anybody else can. 88 00:05:05,720 --> 00:05:08,400 Speaker 1: Hey, So when you're running your hospital, I know you 89 00:05:08,440 --> 00:05:10,880 Speaker 1: have a lot to do with budgets. How do you 90 00:05:10,960 --> 00:05:14,120 Speaker 1: take into account how do you deal with what's going 91 00:05:14,160 --> 00:05:19,280 Speaker 1: on currently politically because I'm assuming, maybe I'm long on this, 92 00:05:19,360 --> 00:05:23,360 Speaker 1: I'm assuming there are federal state grants that you can 93 00:05:23,400 --> 00:05:26,600 Speaker 1: get for medical care other than other than medical. 94 00:05:28,160 --> 00:05:34,400 Speaker 2: Yeah. Absolutely, we have the largest HIV clinic in the 95 00:05:34,440 --> 00:05:37,360 Speaker 2: country that's been there for forty years and runs off 96 00:05:37,400 --> 00:05:41,279 Speaker 2: federal grants. And you know, there are people that have 97 00:05:41,279 --> 00:05:43,920 Speaker 2: been treated there for decades and are still alive now 98 00:05:43,960 --> 00:05:46,760 Speaker 2: because of that clinic. A lot of that funding has 99 00:05:46,800 --> 00:05:50,080 Speaker 2: been cut and there are concerns about how do that 100 00:05:50,120 --> 00:05:53,760 Speaker 2: clinic maintain that without the funding that it gets. So 101 00:05:55,000 --> 00:05:59,040 Speaker 2: you know, it's it's difficult and which you're trying to 102 00:05:59,080 --> 00:06:01,919 Speaker 2: read the tea leaves what these cuts really mean because 103 00:06:01,960 --> 00:06:05,520 Speaker 2: sometimes cuts are reversed by the next administration. Can we 104 00:06:05,600 --> 00:06:10,440 Speaker 2: make it that long before before people go bankrupt or 105 00:06:10,440 --> 00:06:13,240 Speaker 2: before you have to reduce services? And again, that's what 106 00:06:13,360 --> 00:06:17,799 Speaker 2: rural hospitals and inner city hospitals that you know, disproportionately 107 00:06:17,920 --> 00:06:22,520 Speaker 2: treat the underserved. They really do struggle with well, you know, 108 00:06:22,560 --> 00:06:25,640 Speaker 2: we're gonna have to close a service line, and hospitals 109 00:06:25,640 --> 00:06:28,919 Speaker 2: close things like their pediatric ward or their obstetrics and 110 00:06:28,920 --> 00:06:33,040 Speaker 2: gynecology ward, you know, so that they can focus on 111 00:06:33,360 --> 00:06:34,680 Speaker 2: general medical health. 112 00:06:35,040 --> 00:06:39,040 Speaker 1: Jim McKinney, our medical experts been with us for almost 113 00:06:39,040 --> 00:06:42,279 Speaker 1: thirty years now. And the other topic I want to 114 00:06:42,320 --> 00:06:47,960 Speaker 1: cover is the vaccine scheduling and reporting. A lot is 115 00:06:48,320 --> 00:06:52,960 Speaker 1: I think it was yesterday that the CDC had changed. 116 00:06:53,040 --> 00:06:56,640 Speaker 1: It's the recommendation in terms of what kind of vaccines 117 00:06:56,640 --> 00:06:59,479 Speaker 1: and how often they should be given to children. And 118 00:06:59,520 --> 00:07:02,480 Speaker 1: there's a backstory to that too, because it's not just 119 00:07:02,680 --> 00:07:06,520 Speaker 1: here are the vaccines, here's what we're reporting. There's more 120 00:07:06,560 --> 00:07:06,839 Speaker 1: to it. 121 00:07:06,920 --> 00:07:11,880 Speaker 2: Jim, would you explain, Yeah, So essentially what they've done 122 00:07:11,960 --> 00:07:17,040 Speaker 2: is among the kids who are covered by Medicaid, they 123 00:07:17,040 --> 00:07:22,080 Speaker 2: no longer require the states to report immunization measures anymore so, 124 00:07:22,440 --> 00:07:25,040 Speaker 2: and as well as pregnant women who are enrolled in Medicaid. 125 00:07:25,440 --> 00:07:29,040 Speaker 2: So that's about half the population that gets vaccinations no 126 00:07:29,080 --> 00:07:32,440 Speaker 2: longer required to report this information. And you know what 127 00:07:32,480 --> 00:07:36,960 Speaker 2: it kind of does is it shows that you're going 128 00:07:37,000 --> 00:07:42,040 Speaker 2: to hide the fact that vaccination drops, that disease states 129 00:07:42,040 --> 00:07:44,840 Speaker 2: will increase. You no longer will have that data, so 130 00:07:45,480 --> 00:07:47,600 Speaker 2: it makes it more so then the arguments in the 131 00:07:47,640 --> 00:07:51,000 Speaker 2: future will be more politicized rather than based on data. 132 00:07:51,080 --> 00:07:53,160 Speaker 2: We're all going to be fighting over Oh wow, look 133 00:07:53,160 --> 00:07:56,000 Speaker 2: there's an increase in measles or there's an increase in something, 134 00:07:56,560 --> 00:07:59,960 Speaker 2: and we want to show that it's correlated at least 135 00:08:00,120 --> 00:08:02,560 Speaker 2: to drop in vaccination rates, but we won't be able 136 00:08:02,560 --> 00:08:06,400 Speaker 2: to because they're setting it up that way. So it's 137 00:08:06,480 --> 00:08:08,680 Speaker 2: very interesting what's going on. That scary stuff. 138 00:08:09,160 --> 00:08:13,480 Speaker 1: And I'm sure that any kid who is vaccinating and 139 00:08:13,520 --> 00:08:16,640 Speaker 1: gets autism where they can actually connect the dots if 140 00:08:16,680 --> 00:08:19,920 Speaker 1: they can. So let's say it happens three times across 141 00:08:19,920 --> 00:08:21,560 Speaker 1: the United States. Then we don't even know if it 142 00:08:21,560 --> 00:08:23,840 Speaker 1: happens that much because there has been no connection that's 143 00:08:23,880 --> 00:08:27,800 Speaker 1: been scientifically proven that will hit the news that the 144 00:08:27,800 --> 00:08:32,120 Speaker 1: CDC will talk about. It's And I'm asking you, do 145 00:08:32,160 --> 00:08:35,679 Speaker 1: you view it as that crazy under RFK Junior. 146 00:08:37,440 --> 00:08:40,040 Speaker 2: Yeah, yeah, I mean I think again, the whole thing 147 00:08:40,080 --> 00:08:43,600 Speaker 2: has obviously been heavily politicized. It's not based in science 148 00:08:43,760 --> 00:08:46,080 Speaker 2: or you know, the best information that we have at 149 00:08:46,120 --> 00:08:49,480 Speaker 2: this point. And again we talked about this last week, 150 00:08:49,520 --> 00:08:51,800 Speaker 2: but even the change in the vaccination schedule, we want 151 00:08:51,840 --> 00:08:54,360 Speaker 2: to be more like Denmark, well or nothing like Denmark. 152 00:08:54,400 --> 00:08:57,640 Speaker 2: They have a uniform kind of genetic population. They have 153 00:08:57,679 --> 00:09:01,520 Speaker 2: a uniform universal health care, so everyone's covered under health 154 00:09:01,520 --> 00:09:05,160 Speaker 2: care from birth to death. It's heavily recorded, so we 155 00:09:05,679 --> 00:09:09,080 Speaker 2: know exactly whether somebody got a vaccine or not if 156 00:09:09,080 --> 00:09:13,080 Speaker 2: they're in the Denmark health system. It's a completely different 157 00:09:13,320 --> 00:09:16,959 Speaker 2: animal than the United States, where we have big disparities, 158 00:09:17,040 --> 00:09:19,880 Speaker 2: pockets of people who don't have access to healthcare, who 159 00:09:19,920 --> 00:09:23,760 Speaker 2: aren't getting vaccinated or just basic health care. So a 160 00:09:23,840 --> 00:09:25,000 Speaker 2: completely different world. 161 00:09:25,160 --> 00:09:27,880 Speaker 1: Yeah. And by the way, the point in the gym 162 00:09:27,960 --> 00:09:31,400 Speaker 1: is making is Denmark they don't do vaccinations to the 163 00:09:31,440 --> 00:09:34,240 Speaker 1: extent that we do. That they do just find with 164 00:09:34,360 --> 00:09:39,400 Speaker 1: almost no vaccinations, and they do seventeen. 165 00:09:39,480 --> 00:09:41,760 Speaker 2: I mean they do a lower number. We do seventeen. 166 00:09:41,760 --> 00:09:44,480 Speaker 2: They do about eleven, So they just low and he's 167 00:09:44,559 --> 00:09:47,000 Speaker 2: lowering the number to match Denmark as if that's the 168 00:09:47,000 --> 00:09:50,560 Speaker 2: gold standard. But it's not a gold standard, okay. 169 00:09:51,200 --> 00:09:55,720 Speaker 1: Moving it's so depressing with all this Okay, moving into 170 00:09:56,480 --> 00:10:00,560 Speaker 1: a much happier note. Flu is reaching the the highest 171 00:10:00,640 --> 00:10:03,040 Speaker 1: levels in the US in twenty five years, and people 172 00:10:03,040 --> 00:10:07,319 Speaker 1: are dying like flies. Let's talk about that, because that 173 00:10:07,520 --> 00:10:10,079 Speaker 1: also is not particularly good news. 174 00:10:11,520 --> 00:10:14,920 Speaker 2: Yeah, flu is definitely increasing, so we're seeing a lot 175 00:10:14,960 --> 00:10:17,600 Speaker 2: more er visits related to it. Certain pockets of the 176 00:10:17,600 --> 00:10:21,120 Speaker 2: country are getting hit really hard. Not quite getting hit 177 00:10:21,160 --> 00:10:23,920 Speaker 2: that hard yet in southern California, but it does look 178 00:10:24,040 --> 00:10:26,640 Speaker 2: like it could rise if we follow the pattern of 179 00:10:26,720 --> 00:10:30,240 Speaker 2: other areas. So still a decent time to get a 180 00:10:30,240 --> 00:10:32,880 Speaker 2: flu shot. And of course the flu shot, you know, 181 00:10:32,960 --> 00:10:35,679 Speaker 2: the people who need it the most struggle with the 182 00:10:35,800 --> 00:10:39,240 Speaker 2: least protection from it, right, the efficacy rates in people 183 00:10:39,280 --> 00:10:42,240 Speaker 2: over sixty five or lower, But they're the people that 184 00:10:42,320 --> 00:10:46,120 Speaker 2: need it the most, people with immune compromise or other 185 00:10:47,320 --> 00:10:49,440 Speaker 2: diseases that put them at higher risk when they do 186 00:10:49,480 --> 00:10:52,960 Speaker 2: get the flu. But the best thing you can do 187 00:10:53,480 --> 00:10:57,240 Speaker 2: to try and protect yourself is to get that flu shot. 188 00:10:57,600 --> 00:10:59,959 Speaker 2: Of course, besides all the basics, right, wash your hand 189 00:11:00,000 --> 00:11:02,600 Speaker 2: and cover your mouth when you sneeze so you're not 190 00:11:02,679 --> 00:11:06,920 Speaker 2: giving it to other people, and just basic hygiene would 191 00:11:06,920 --> 00:11:08,560 Speaker 2: be will reduce your risk. 192 00:11:08,600 --> 00:11:10,240 Speaker 1: Again in the floor, how do we do in Southern 193 00:11:10,280 --> 00:11:13,679 Speaker 1: California vaccination wise relative to the rest of the country. 194 00:11:13,760 --> 00:11:14,720 Speaker 1: Do we have that information. 195 00:11:15,840 --> 00:11:18,040 Speaker 2: Yeah, I mean we're on par with the rest of 196 00:11:18,040 --> 00:11:20,680 Speaker 2: the country. We're not above or below, so we're not 197 00:11:21,040 --> 00:11:24,280 Speaker 2: one of those areas where everybody does not get the vaccine. 198 00:11:24,280 --> 00:11:26,880 Speaker 2: We're just we're kind of right on track, if anything, 199 00:11:27,160 --> 00:11:28,800 Speaker 2: a little bit higher in the rest of some of 200 00:11:28,800 --> 00:11:29,840 Speaker 2: the areas of the country. 201 00:11:30,440 --> 00:11:33,800 Speaker 1: Okay, fair enough, Jim. We will talk again, of course, 202 00:11:34,160 --> 00:11:36,280 Speaker 1: next Wednesday, and then we'll probably talk over the week 203 00:11:36,360 --> 00:11:40,120 Speaker 1: when I scream at you for something or another. Jim M. Kinney. 204 00:11:41,120 --> 00:11:43,400 Speaker 1: Always a pleasure to have with you, have us with you, 205 00:11:43,840 --> 00:11:47,880 Speaker 1: have us, you with us, or you with Yeah, you 206 00:11:47,920 --> 00:11:49,440 Speaker 1: know what I mean, all right, Jim. 207 00:11:50,080 --> 00:11:50,640 Speaker 2: Last segment. 208 00:11:51,040 --> 00:11:51,760 Speaker 1: Yeah,