1 00:00:02,560 --> 00:00:05,040 Speaker 1: Welcome to Wellness, Sun Mass and doctor Nicole Sapphire and 2 00:00:05,080 --> 00:00:07,800 Speaker 1: this is your weekly rundown. Now I get a post 3 00:00:07,800 --> 00:00:10,320 Speaker 1: on X. Earlier this week I was watching an episode 4 00:00:10,360 --> 00:00:12,840 Speaker 1: of The Pit, which is one of those new modern 5 00:00:12,840 --> 00:00:15,680 Speaker 1: medical drama series, and I was a little critical of it. 6 00:00:16,000 --> 00:00:19,119 Speaker 1: Now let me say this regarding The Pit. I watch it, 7 00:00:19,160 --> 00:00:21,319 Speaker 1: I enjoy it. In many ways. It's a bit of 8 00:00:21,320 --> 00:00:24,120 Speaker 1: a throwback, you know, a little nostalgic to a couple 9 00:00:24,239 --> 00:00:26,600 Speaker 1: decades ago at this point where I was, you know, 10 00:00:26,640 --> 00:00:29,480 Speaker 1: an active part of the trauma scene. Now, for those 11 00:00:29,520 --> 00:00:31,720 Speaker 1: of you who don't know what The Pit is, it's 12 00:00:31,840 --> 00:00:36,520 Speaker 1: essentially a modern day Er. Remember George Clooney, whoever else 13 00:00:36,560 --> 00:00:37,720 Speaker 1: was in it, I don't know, is a little bit 14 00:00:37,720 --> 00:00:40,560 Speaker 1: before my time, which is probably why I didn't grow 15 00:00:40,640 --> 00:00:43,559 Speaker 1: up with the George Clooney crush. But one of the 16 00:00:43,600 --> 00:00:47,440 Speaker 1: main actors from Er is actually the lead actor in 17 00:00:48,000 --> 00:00:50,720 Speaker 1: The Pit, Noah Wiley. If you know him, you know 18 00:00:50,840 --> 00:00:53,920 Speaker 1: him as doctor John Carter from Er. If you didn't 19 00:00:53,920 --> 00:00:56,760 Speaker 1: watch Er, then you wouldn't really know him. But one 20 00:00:56,880 --> 00:00:59,880 Speaker 1: thing of note about Noah Wiley is he has been 21 00:01:00,040 --> 00:01:04,880 Speaker 1: a long time vocal in progressive political circles. He's publicly 22 00:01:04,880 --> 00:01:09,120 Speaker 1: supported Democratic candidates and progressive causes over the years, including 23 00:01:09,480 --> 00:01:12,680 Speaker 1: healthcare reform initiatives. And now, the only reason I'm talking 24 00:01:12,760 --> 00:01:16,080 Speaker 1: about this is because context matters, because when you watch 25 00:01:16,160 --> 00:01:21,000 Speaker 1: the pit, the ideological lean becomes increasingly obvious. Now, I 26 00:01:21,000 --> 00:01:22,800 Speaker 1: won't go into a full rant, but I will go 27 00:01:22,880 --> 00:01:24,960 Speaker 1: through a few of the episodes just to kind of 28 00:01:25,000 --> 00:01:26,960 Speaker 1: show you what I'm talking about. And one of them 29 00:01:27,080 --> 00:01:30,880 Speaker 1: is the fact that when they reference anyone who supports 30 00:01:30,959 --> 00:01:33,960 Speaker 1: repealing or weakening the Affordable Care Act, also known as 31 00:01:34,000 --> 00:01:38,520 Speaker 1: a Bombacare, they allude to it would strip away emergency 32 00:01:38,760 --> 00:01:42,840 Speaker 1: care access to Americans. The reality is that's just factually incorrect. 33 00:01:43,360 --> 00:01:46,959 Speaker 1: Emergency departments have been required under the MTAL law since 34 00:01:47,040 --> 00:01:51,200 Speaker 1: nineteen eighty six to evaluate and stabilize every patient, regardless 35 00:01:51,200 --> 00:01:56,040 Speaker 1: of insurance status. Yes, the Affordable Care Act expanded insurance coverage, 36 00:01:56,200 --> 00:01:59,560 Speaker 1: but it did not create emergency access. Now, after the 37 00:01:59,600 --> 00:02:03,280 Speaker 1: twenty four fourteen Medicaid expansion in many states that came 38 00:02:03,320 --> 00:02:06,320 Speaker 1: with the Affordable Care Act, there were some studies published 39 00:02:06,320 --> 00:02:11,600 Speaker 1: in JAMA that showed uninsured er visits declined in those 40 00:02:11,639 --> 00:02:16,080 Speaker 1: expansion states. So what does that mean fewer people without 41 00:02:16,240 --> 00:02:20,280 Speaker 1: insurance went to the er. What that did not mean 42 00:02:20,600 --> 00:02:24,520 Speaker 1: was fewer people actually went to the er, because the 43 00:02:24,560 --> 00:02:29,960 Speaker 1: reality is the overall er volume increased as more people 44 00:02:30,160 --> 00:02:33,960 Speaker 1: who were newly insured sought care. It wasn't that all 45 00:02:34,000 --> 00:02:37,400 Speaker 1: of a sudden, these expansion states, now these patients had 46 00:02:37,480 --> 00:02:41,000 Speaker 1: access to primary care and treatments, and they weren't needing 47 00:02:41,000 --> 00:02:43,200 Speaker 1: to go to the er. No, they were just now 48 00:02:43,200 --> 00:02:45,280 Speaker 1: given an insurance card, and they were still going to 49 00:02:45,320 --> 00:02:48,600 Speaker 1: the er. So it did nothing to solve the er 50 00:02:48,720 --> 00:02:53,679 Speaker 1: overcrowding that's driven by staffing, shortages, in patient bed bottlenecks, 51 00:02:53,960 --> 00:02:57,519 Speaker 1: chronic disease, the fact that we have more doctors retiring 52 00:02:57,639 --> 00:03:00,320 Speaker 1: at a rapid rate, especially ever since COVID, and there's 53 00:03:00,320 --> 00:03:03,160 Speaker 1: just not enough doctors who are in it anymore because 54 00:03:03,200 --> 00:03:06,600 Speaker 1: of all of the administrative bloat that was introduced following 55 00:03:06,600 --> 00:03:09,720 Speaker 1: the Affordable Care Act. But that nuance it doesn't make 56 00:03:09,760 --> 00:03:13,760 Speaker 1: for strong political messaging. Now, let's move on measles, another 57 00:03:13,840 --> 00:03:16,560 Speaker 1: hot topic right now, especially as the United States is 58 00:03:16,600 --> 00:03:19,839 Speaker 1: at risk of losing its eradication state. We have more 59 00:03:19,840 --> 00:03:22,920 Speaker 1: measles this year than we have had anywhere in the 60 00:03:22,960 --> 00:03:26,720 Speaker 1: immediate past, and it's concerning, and now why is it? Well, 61 00:03:26,800 --> 00:03:30,560 Speaker 1: we have a decline in our vaccination rates. That's fat. 62 00:03:31,000 --> 00:03:33,760 Speaker 1: People want to blame RFK Junior. They want to blame 63 00:03:33,800 --> 00:03:37,880 Speaker 1: the Maha movement. But the decline in vaccination rates actually 64 00:03:37,880 --> 00:03:41,760 Speaker 1: happened before COVID. We saw the biggest dip in twenty nineteen. 65 00:03:42,200 --> 00:03:44,320 Speaker 1: Then add COVID to that, and all of a sudden 66 00:03:44,360 --> 00:03:47,280 Speaker 1: you see a mishandling of a lot of the COVID policies. 67 00:03:47,640 --> 00:03:51,240 Speaker 1: You had a growing distrust in public health establishment. And 68 00:03:51,240 --> 00:03:55,440 Speaker 1: now we see even fewer people getting vaccinated because of 69 00:03:55,480 --> 00:03:59,120 Speaker 1: this mistrust. And it is a huge, unfortunate mess that 70 00:03:59,160 --> 00:04:01,840 Speaker 1: we find ourselves in. But this is where we are now. 71 00:04:01,880 --> 00:04:05,280 Speaker 1: In the episode that I'm referring to, a child comes 72 00:04:05,280 --> 00:04:09,560 Speaker 1: into the er with a severe case of measles. Teenage boy, unvaccinated. 73 00:04:09,600 --> 00:04:13,360 Speaker 1: Doctors are concerned about one of the neurological complications, which 74 00:04:13,360 --> 00:04:15,440 Speaker 1: by the way, can be fatal. I could kill the kid. 75 00:04:15,760 --> 00:04:18,200 Speaker 1: The doctors are recommending a lumbar puncture to look at 76 00:04:18,240 --> 00:04:21,600 Speaker 1: the spinal fluid. The mother does not want her child 77 00:04:21,680 --> 00:04:24,480 Speaker 1: to have this lumbar puncture. She said, no, just treat him. 78 00:04:24,520 --> 00:04:27,400 Speaker 1: I don't want the lumbar puncture. I worry about any 79 00:04:27,440 --> 00:04:29,440 Speaker 1: damage that can be done to his spinal cord. I 80 00:04:29,480 --> 00:04:33,040 Speaker 1: worry about risk of infection. She's essentially trying to tell 81 00:04:33,080 --> 00:04:36,680 Speaker 1: them she's worried about having this procedure done, and rather 82 00:04:36,800 --> 00:04:40,919 Speaker 1: than in a calm, respectful manner and having the true, 83 00:04:41,040 --> 00:04:44,560 Speaker 1: informed consent that we as medical professionals are supposed to 84 00:04:44,600 --> 00:04:47,440 Speaker 1: have with all of our patients, especially when you have 85 00:04:47,600 --> 00:04:51,000 Speaker 1: a scared mother right in front of you whose child 86 00:04:51,080 --> 00:04:55,440 Speaker 1: may be dying. She was portrayed as a caricature of ignorance, 87 00:04:56,400 --> 00:04:59,480 Speaker 1: and fine, if the doctors are going to have that paternalistic, 88 00:05:00,160 --> 00:05:04,920 Speaker 1: condescending way of dealing with patients, that's fine, because that 89 00:05:05,040 --> 00:05:08,359 Speaker 1: exists in real life. It's all over the place. But 90 00:05:08,440 --> 00:05:12,280 Speaker 1: they only had that tone with her. Now, let's look 91 00:05:12,320 --> 00:05:16,240 Speaker 1: at the contrast and a different episode. In another episode, 92 00:05:16,560 --> 00:05:19,320 Speaker 1: a black woman in sickle cell crisis, by the way, 93 00:05:19,839 --> 00:05:23,400 Speaker 1: one of the most scary, painful, fatal things that a 94 00:05:23,480 --> 00:05:26,359 Speaker 1: human could actually go through. This woman comes in in 95 00:05:26,440 --> 00:05:30,800 Speaker 1: sickle cell crisis and there is some confusion, there's a 96 00:05:30,880 --> 00:05:34,280 Speaker 1: lack of communication. But what ended up happening was it 97 00:05:34,279 --> 00:05:38,800 Speaker 1: turned into an entire episode about thoughtful acknowledgment of documented 98 00:05:38,880 --> 00:05:43,039 Speaker 1: bias in African American patients. In fact, the physicians go 99 00:05:43,200 --> 00:05:46,600 Speaker 1: out of their way to validate her experience. They give 100 00:05:46,640 --> 00:05:50,760 Speaker 1: her more time to discuss any sort of risk, any 101 00:05:50,800 --> 00:05:53,800 Speaker 1: sort of benefits. There's a lot of hand holding, there's 102 00:05:53,800 --> 00:05:56,120 Speaker 1: a lot of empathy, there's a lot of love there. 103 00:05:56,160 --> 00:05:57,720 Speaker 1: And by the way, I love the way that they 104 00:05:57,760 --> 00:06:01,920 Speaker 1: treated her, because this woman was suffering. The portrayal of 105 00:06:01,960 --> 00:06:04,760 Speaker 1: her and how they treated her was appropriate and supported 106 00:06:04,760 --> 00:06:08,640 Speaker 1: by evidence. But when the distrust comes from a vaccine 107 00:06:08,680 --> 00:06:13,200 Speaker 1: skeptical mother, that empathy disappears and she became the obstacle, 108 00:06:13,640 --> 00:06:16,599 Speaker 1: not the lack of information or a level of misinformation. 109 00:06:16,920 --> 00:06:19,719 Speaker 1: While we want to always focus on bias, head on 110 00:06:20,040 --> 00:06:24,400 Speaker 1: selective empathy, that's also a level of bias. So moving 111 00:06:24,440 --> 00:06:28,600 Speaker 1: on the whole masking storyline, they doubled down on masking, 112 00:06:28,680 --> 00:06:32,440 Speaker 1: and we all remember masking from COVID. The episode showed 113 00:06:32,480 --> 00:06:35,200 Speaker 1: two women in the emergency room. One of the women's 114 00:06:35,200 --> 00:06:38,320 Speaker 1: son was there sneezing and coughing I think, but he 115 00:06:38,400 --> 00:06:41,760 Speaker 1: was there for some sort of allergy reaction, and so 116 00:06:41,880 --> 00:06:44,599 Speaker 1: this other woman said, put a mask on your kid, 117 00:06:44,920 --> 00:06:47,360 Speaker 1: and the woman with the kid She's like, it's allergies, 118 00:06:47,560 --> 00:06:49,720 Speaker 1: he doesn't need to wear a mask, and they got 119 00:06:49,760 --> 00:06:53,000 Speaker 1: into a hole kerfuffle, and actually it turned physical when 120 00:06:53,480 --> 00:06:56,919 Speaker 1: the mother ended up punching the woman who was telling 121 00:06:56,920 --> 00:06:59,559 Speaker 1: her to put a mask on her kids. It really 122 00:06:59,600 --> 00:07:02,760 Speaker 1: just of all from there. But what happened in this 123 00:07:02,880 --> 00:07:07,520 Speaker 1: episode was really interesting. The woman resistant to masking was 124 00:07:07,560 --> 00:07:11,200 Speaker 1: portrayed as like this southern stereotype. She was visually coded 125 00:07:11,320 --> 00:07:15,160 Speaker 1: and verbally framed as kind of uneducated in crafts. Even 126 00:07:15,200 --> 00:07:18,960 Speaker 1: the physician made a condescending remark to her. What we 127 00:07:19,040 --> 00:07:24,480 Speaker 1: have to remember is masking policies evolved. Universal masking. Maybe 128 00:07:24,520 --> 00:07:26,920 Speaker 1: for the people who were implementing it made sense during 129 00:07:26,960 --> 00:07:29,840 Speaker 1: peak COVID transmission, and maybe you could argue that it 130 00:07:29,880 --> 00:07:31,960 Speaker 1: made sense and we had no idea what was going on. 131 00:07:32,640 --> 00:07:36,640 Speaker 1: But as we gained more information, as immunity increased and 132 00:07:36,760 --> 00:07:39,880 Speaker 1: new infection controlled data emerged. You have to remember many 133 00:07:39,920 --> 00:07:43,920 Speaker 1: hospitals shifted to seasonal or just risk based masking. And 134 00:07:43,960 --> 00:07:46,800 Speaker 1: so to ask one kid in the emergency department to 135 00:07:46,880 --> 00:07:49,960 Speaker 1: put on his mask when he's not even there for 136 00:07:50,000 --> 00:07:52,680 Speaker 1: an upper respiratory infection, Yeah, if I were the mom, 137 00:07:52,960 --> 00:07:55,680 Speaker 1: I'd be upset too. I get it. Listen, there's a 138 00:07:55,800 --> 00:08:00,600 Speaker 1: legitimate debate about indefinite masking and healthcare settings. Liam not 139 00:08:00,680 --> 00:08:03,000 Speaker 1: for them, but on the pit the way that they 140 00:08:03,120 --> 00:08:06,200 Speaker 1: framed it, it just it really just equals ignorance as 141 00:08:06,240 --> 00:08:09,000 Speaker 1: though there's some form of settled science, because there's not. 142 00:08:09,960 --> 00:08:12,040 Speaker 1: And lastly, I would be remiss if I did not 143 00:08:12,240 --> 00:08:16,560 Speaker 1: talk about the episode where they're talking about abortion. That's right, 144 00:08:16,960 --> 00:08:20,400 Speaker 1: a teenage girl goes to the emergency department with a 145 00:08:20,440 --> 00:08:23,000 Speaker 1: woman who was claiming to be her mother so she 146 00:08:23,040 --> 00:08:27,520 Speaker 1: could get the abortion medication. Well, even the doctors noticed 147 00:08:27,560 --> 00:08:30,760 Speaker 1: on the ultrasound that she was too far along in 148 00:08:30,840 --> 00:08:34,600 Speaker 1: her pregnancy to be able to take some of these 149 00:08:34,640 --> 00:08:38,160 Speaker 1: medications as stated by the law. So they were going 150 00:08:38,240 --> 00:08:42,319 Speaker 1: to lie about her gestational age just so she can 151 00:08:42,320 --> 00:08:45,360 Speaker 1: get access to these abortion medications because they're framing it 152 00:08:45,400 --> 00:08:48,800 Speaker 1: as their life saving for her. So the doctors are 153 00:08:48,800 --> 00:08:51,920 Speaker 1: being empathetic the woman saying she's her mother next to 154 00:08:51,920 --> 00:08:54,640 Speaker 1: her at her bedside. They're all calm, they're all collected, 155 00:08:54,720 --> 00:08:59,320 Speaker 1: they're all there in the best interest of this pregnant teen. Well, 156 00:08:59,679 --> 00:09:03,080 Speaker 1: actually what happens is that woman is not her mother. 157 00:09:03,520 --> 00:09:08,040 Speaker 1: In fact, the mother comes flying in like, what is 158 00:09:08,120 --> 00:09:10,840 Speaker 1: going on? Why is my daughter in the emergency department. 159 00:09:11,400 --> 00:09:16,280 Speaker 1: So what really exposes this ideological framing is just character portrayal. Here, 160 00:09:16,679 --> 00:09:20,200 Speaker 1: the pro life mother is irate, she's irrational, and she 161 00:09:20,240 --> 00:09:23,640 Speaker 1: comes across as emotionally unstable. Absolutely not, my daughter will 162 00:09:23,679 --> 00:09:26,600 Speaker 1: not do this, blah blah blah. And yet the pro 163 00:09:26,800 --> 00:09:32,560 Speaker 1: choice aunt calm, articulate and portrayed as morally centered. The 164 00:09:32,600 --> 00:09:36,600 Speaker 1: contrast is not subtle. It's the one worldview framed as 165 00:09:36,640 --> 00:09:39,800 Speaker 1: just like hysterical and completely backwards, and the other is 166 00:09:39,920 --> 00:09:43,080 Speaker 1: enlightened and compassionate and doing what is in the best 167 00:09:43,120 --> 00:09:46,680 Speaker 1: interest of this teenage girl. And of course there's an 168 00:09:46,720 --> 00:09:50,480 Speaker 1: episode regarding medical intervention on a transgender person and there's 169 00:09:50,480 --> 00:09:54,640 Speaker 1: no discussion of well, male female. It was just like 170 00:09:54,679 --> 00:09:57,800 Speaker 1: a settled science of this what looked like a male 171 00:09:58,440 --> 00:10:01,440 Speaker 1: dressed up in female clothes. Well, it's just a female, 172 00:10:01,520 --> 00:10:03,480 Speaker 1: so we'll just treat this person as a female. In 173 00:10:03,520 --> 00:10:07,720 Speaker 1: the United States, while we're seeing major organizations still supporting 174 00:10:07,800 --> 00:10:10,840 Speaker 1: gender firming care, the tides are turning and we're starting 175 00:10:10,840 --> 00:10:13,640 Speaker 1: to see that long term evidence for puberty blockers and 176 00:10:13,679 --> 00:10:17,120 Speaker 1: cross sex hormones and miners really may have more harm 177 00:10:17,240 --> 00:10:20,520 Speaker 1: than benefits. So this debate is ongoing. There's not thing 178 00:10:20,679 --> 00:10:24,800 Speaker 1: settled when it comes to transgender in the healthcare despite 179 00:10:24,840 --> 00:10:27,200 Speaker 1: the fact that a lot of cme that we have 180 00:10:27,280 --> 00:10:30,800 Speaker 1: to do continuing medical education. They're trying to, you know, 181 00:10:30,840 --> 00:10:33,160 Speaker 1: shove it down everyone's throat as though it's settled, but 182 00:10:33,440 --> 00:10:37,040 Speaker 1: we all know better that it's not. And this last one, 183 00:10:37,120 --> 00:10:40,080 Speaker 1: it wasn't really about something in the healthcare space, but 184 00:10:40,120 --> 00:10:43,440 Speaker 1: I did find it interesting. You had this older Jewish 185 00:10:43,480 --> 00:10:47,080 Speaker 1: woman coming in to seek a burn on her thigh, 186 00:10:47,400 --> 00:10:50,280 Speaker 1: and she, if you were to look up quote unquote 187 00:10:50,320 --> 00:10:53,719 Speaker 1: stereotypical older Jewish woman, you know, she definitely hit a 188 00:10:53,760 --> 00:10:58,480 Speaker 1: lot of those stereotypes. She was almost overbearing on the doctor. 189 00:10:58,480 --> 00:11:01,400 Speaker 1: Why aren't you married yet? Too old, you shouldn't be 190 00:11:02,120 --> 00:11:05,560 Speaker 1: you shouldn't be driving a motorcycle. And I put tonny 191 00:11:05,640 --> 00:11:07,960 Speaker 1: and natural remedies on my burn and some of these 192 00:11:08,000 --> 00:11:10,360 Speaker 1: other things, which they weren't really negative, but they were 193 00:11:10,400 --> 00:11:14,280 Speaker 1: definitely a stereotype. And as she's being gently cared for 194 00:11:14,960 --> 00:11:18,440 Speaker 1: by the hajab wearing Muslim nurse, who, by the way, 195 00:11:18,480 --> 00:11:21,160 Speaker 1: is one of my favorite characters. She has spunk, she 196 00:11:21,200 --> 00:11:24,280 Speaker 1: has a great personality. But there was a moment of 197 00:11:24,320 --> 00:11:29,760 Speaker 1: silence where the Jewish woman thanked the Muslim nurse for 198 00:11:30,160 --> 00:11:34,120 Speaker 1: the Muslim community and how they came together to help 199 00:11:34,520 --> 00:11:38,640 Speaker 1: raise funds for the synagogue after a shooting. Now that 200 00:11:38,720 --> 00:11:42,080 Speaker 1: was a real story that did happen in Pennsylvania. You 201 00:11:42,160 --> 00:11:44,720 Speaker 1: had a lot of members of the community, not just 202 00:11:44,800 --> 00:11:47,560 Speaker 1: the Muslims, but you had Sikhs, you had Christians, you 203 00:11:47,600 --> 00:11:51,520 Speaker 1: had others all coming together to raise money for the 204 00:11:51,679 --> 00:11:55,920 Speaker 1: synagogue after a horrible shooting. But on the pit they 205 00:11:55,960 --> 00:11:58,440 Speaker 1: decided to just focus in on the stereotypes of the 206 00:11:58,480 --> 00:12:04,040 Speaker 1: Jewish woman and the empathy and compassion of the Muslim culture. Now, 207 00:12:04,040 --> 00:12:08,920 Speaker 1: they didn't directly support Hamas. Of course, it certainly didn't 208 00:12:08,920 --> 00:12:12,800 Speaker 1: come out that they were pro Hamas after the October 209 00:12:12,840 --> 00:12:16,160 Speaker 1: seventh massacre, but it did make me think about that, Like, 210 00:12:16,520 --> 00:12:20,040 Speaker 1: I'm not sure that that was really necessary. Listen for 211 00:12:20,120 --> 00:12:24,080 Speaker 1: the show as a drama, it works as balanced policy storytelling, 212 00:12:24,280 --> 00:12:28,200 Speaker 1: it doesn't. And medicine and a lot of these topics 213 00:12:28,280 --> 00:12:32,080 Speaker 1: deserve complexity because if you kind of sum it up, 214 00:12:32,200 --> 00:12:36,800 Speaker 1: this is the pattern. ACA reform equals catastrophe, vaccine skepticism 215 00:12:36,840 --> 00:12:42,160 Speaker 1: equals ignorance, mass questions equal backwardness, pro life views equal irrationality, 216 00:12:42,360 --> 00:12:46,199 Speaker 1: gender debate equals bigotry, and the Muslim culture is carrying 217 00:12:46,280 --> 00:12:52,120 Speaker 1: compassion towards the Jewish people. Complicated issues are seriously just becoming. 218 00:12:52,160 --> 00:12:54,719 Speaker 1: Morality plays here, and it's unfortunate because the show has 219 00:12:54,720 --> 00:12:57,840 Speaker 1: a talent and the platform to explore these debates honestly, 220 00:12:58,080 --> 00:13:00,920 Speaker 1: but instead it's reflecting the world view of Hollywood and 221 00:13:01,160 --> 00:13:05,760 Speaker 1: perhaps unsurprisingly, the worldview of its leading man. Now here's 222 00:13:05,760 --> 00:13:08,480 Speaker 1: the irony. Despite the bias, I am still watching it 223 00:13:08,640 --> 00:13:11,760 Speaker 1: because the trauma scenes are gripping, the pacing is excellent 224 00:13:12,200 --> 00:13:14,040 Speaker 1: and remind me of the early days of my own 225 00:13:14,120 --> 00:13:17,680 Speaker 1: medical training. The intensity, humanity, and the moments that stay 226 00:13:17,679 --> 00:13:20,040 Speaker 1: with you forever. I can watch it, and I can 227 00:13:20,080 --> 00:13:23,560 Speaker 1: criticize a little bit that they've had a few errors 228 00:13:23,559 --> 00:13:25,800 Speaker 1: when it comes to their radiology stuff. I don't think 229 00:13:25,800 --> 00:13:28,360 Speaker 1: they have a radiologist on staff, But I'll let it 230 00:13:28,400 --> 00:13:30,840 Speaker 1: go because you know what, as a drama, it works 231 00:13:31,240 --> 00:13:36,240 Speaker 1: as balanced policy storytelling. It doesn't. Patients deserve empathy, all patients, 232 00:13:36,400 --> 00:13:40,520 Speaker 1: not just the ones who's politics aligned with the writer's room. Okay, 233 00:13:40,840 --> 00:13:43,000 Speaker 1: And if you're going to try and influence how Americans 234 00:13:43,000 --> 00:13:47,000 Speaker 1: see healthcare. At least acknowledge that reasonable people can disagree 235 00:13:47,280 --> 00:13:50,280 Speaker 1: because trust in medicine. It's not rebuilt by mocking half 236 00:13:50,320 --> 00:13:55,160 Speaker 1: the country. It's rebuilt by modeling respect. I'm doctor Nicole Safire. 237 00:13:55,240 --> 00:13:57,440 Speaker 1: Thank you so much for listening to Wellness on MASS. 238 00:13:57,720 --> 00:14:00,319 Speaker 1: Be sure to listen to Wellness on Mass on iHeart Radio, 239 00:14:00,559 --> 00:14:03,199 Speaker 1: Apple Podcasts, or wherever you get your podcasts, and I'll 240 00:14:03,200 --> 00:14:03,880 Speaker 1: see you next time.