A (0:01)

If you're the purchasing manager at a manufacturing plant, you know having a trusted partner makes all the difference. That's why, hands down, you count on Grainger for auto reordering. With on time restocks, your team will have the cut resistant gloves they need at the start of their shift and you can end your day knowing they've got safety well in hand. Call 1-800-GRAINGER Click grainger.com or just stop by Grainger for the ones who get it done.

B (0:30)

If you're an H vac technician and a call comes in, Grainger knows that you need a partner that helps you find the right product fast and hassle free. And you know that when the first problem of the day is a clanking blower motor, there's no need to break a sweat. With Grainger's easy to use website and product details, you're confident you'll soon have everything humming right along. Call 1-800-GRAINGER clickgrainger.com or just stop by Granger for the ones who get it done.

C (1:00)

Welcome to the podcast. I'm your host, Jaden Schaefer. Today on the podcast we're talking about Anthropic, who has just rolled out Claude Health. Now this is interesting because they're doing this on the backs of OpenAI rolling out a very similar chat GPT health tool. So today on the show I want to break down not just what Anthropic announced with it, because I think a lot of this is similar to what ChatGPT is doing, but kind of the state of the industry where we see a company, any company of these major AI labs coming out with a feature and immediately getting cloned by everyone else in the industry if it's a good idea. It doesn't take more than a few days. It feels like. Now some people I know are going to argue, well, you know, that's because everyone's kind of working on the same thing. They all see the same patterns. I actually think that a lot of these ideas are they kind of are no brainers once they're announced and then they very quickly get copied by everyone else so that you don't feel like there's any competitive edge or moat. And there's a dozen different features and tools that I think basically have the same pattern. So we're getting all into all of that on the podcast today. Before we do, I wanted to mention if you'd like to build an AI tool without knowing how to code, I would love for you to check out my startup, which is AI Box AI. You basically can put in a prompt of what you'd like to create. And our no code AI app builder will link together different AI models and it will put in prompts, it will make a landing page a uh, and you can create a full tool for people to use. You can go and tweak the prompt, tweak the AI models that build it. And for it's $20 a month you get access to the builder, but also get access to over 40 of the top models on a playground. So if you want to just talk to all of the different models, test them out side by side and see which ones are the best. Everything From Google to OpenAI to Claude to Meta, it's all over there on AI box AI for $20 a month. All right, let's get into the episode. So right on the heels of OpenAI's ChatGPT Health coming out, Anthropic announced that they are launching Claude for Healthcare. Essentially this is going to be a suite of AI tools that is aimed at providers, payers and patients. Now I think this is interesting because this is quite a bit different than ChatGPT help, which is more focused on everyday users. And so I think we see this kind of, this difference between OpenAI and anthropic or Anthropic really seems like it's trying to get kind of the pro users, the enterprise and ChatGPT is always going for kind of mass adoption and maybe Anthropic feels like they can't compete with mass market adoption. But one thing I think that is not, not very controversial to say is that the enterprise pays a lot more. Typically of course, the scale of OpenAI, they're making more money. But I think Anthropic is doing a good thing for themselves, being kind of the underdog and focusing kind of on the more high paying area. So like Chat GPT Health, what I will say is that Claude for Health allows users to sync your health data from your phone, your smartwatch and other platforms, which is amazing, right? Your Apple Watch can get synced up and can be doing data into this if you want that. Both companies said that their personal health data is not going to be used to train their models, which I think is important for privacy. Where I think Anthropic appears to be a little bit different in the focus is because ChatGPT Health is really looking at patient facing, is like a patient facing conversational tool. Claude for Healthcare is pitched more as this kind of like operationally sophisticated system that's designed for institutions, right? Like hospitals and, and doctors and stuff. So I think that matters because as health care organizations are increasingly exploring AI adoption, I think there's a lot of concerns about, you know, like hallucination and are these large language models going to give unreliable medical advice? I think Anthropic is arguing right now that their approach is mitigating all of those risks. They're emphasizing what they call, quote unquote, agent skills that support administrative and research kind of some of the workflows rather than just replacing clinicians outright. I think honestly a lot of doctors are going to find this incredibly useful and you're going to be happy to get these types of tools. Cloud for Healthcare introduces something else that I think is really important, which is connectors. Essentially they're going to give models controlled access to trusted databases and platforms which are commonly used by healthcare professionals. This is amazing, right? Like we see these kind of connectors in ChatGPT and these other tools for, you know, everyday users, whether that's connecting to your Google Drive or connecting to like canva for marketing people doing graphics. So I think it makes complete sense that we would start building these healthcare tools that are connected to all, all of the tools that doctors use. And it's kind of funny because those, those types of databases and platforms, like obviously they're, they're less common but they, there is so much to gain, right? Like there is such a, such a huge lift that, that we can get by connecting those. Now I do think this is interesting because I definitely think there is a lot of healthcare startups that are probably concerned that both OpenAI and Anthropic are moving into this space because no doubt that probably killed like a hundred, you know, medical startups that were trying to just basically take Anthropic and link it these kind of professional healthcare databases. So you know, I think that's definitely something to, to consider. But what I will say is that all of the, you know, the platforms and databases and everything that they're doing right there, I think those include the Centers for Medicare and the Medicare Service Coverage Database, the International Classifications of diseases, the 10th revision, the national provider of identified standards and PubMed, all of that is getting pulled in there, which I think is great. Although you know, I, my personal views on PubMed, which I basically anything I put into there, it tells me I have, it's like you're either you have a cold or you're going to die of cancer. I feel like those are like the two things PubMed frequently tells me. But you know, whatever, I'll, I'll spare my complaints for the time. I think by making all of their responses that they're giving grounded in these. Right. Like very authoritative sources. Anthropic says that Claude is going to help to accelerate research, documentation and reporting tasks. Um, so it actually kind of makes sense for doctors, right. If they're trying to speed up their processes, they want like they need a database of medical specific, focused information and that's going to be able to help them actually get, get things done, not hallucinate. So it's cool that we have these direct integrations. There was a whole blog post announcing this product from Anthropic. There's a couple things that they, that they kind of highlighted. They said prior to authorization review was a key use case that they had, which is interesting. They said prior authorization requires clinicians to submit detailed documentation to insurers to determine whether a medication or treatment will be covered. It is a process widely criticized for being time consuming and administratively burdensome. The Chief Product Officer, Mike Krieger from Anthropic said, quote, clinicians often report spending more time on documentation paperwork than actually seeing patients. So I think for physicians, prior authorization work is largely. Right. This is just administrative. Right. This isn't clinical and it basically is making it a really natural candidate for automation. Right. So I think this is smart for anthropic and even OpenAI, when they come in, like find these tasks that doctors hate to do. So doctors aren't like, oh man, we're getting replaced, like find things they hate to do and just automate those things. First and foremost, Anthropic kind of frames this as a more kind of responsible entry point for AI in healthcare. Even though Claude is capable of engaging in much higher level medical discussions. And I think even OpenAI is, we've seen all sorts of amazing stories where people have had diseases and it's seen 100 specialists for, you know, like 15 years. And then they go to OpenAI, put in all of their symptoms and OpenAI will correctly diagnose it. There's a credible case where this happened and the person was like amazed, even though they went to all of these specialists. Specialists are usually, you know, very specialized in one particular area. And if you don't kind of have understanding of a ton of different broad overarching areas, sometimes these cases can be quite tricky, which is where ChatGPT and Anthropic would excel. So I actually am very bullish on this and I know people are gonna, I know some people will not like it. Maybe doctors that don't feel like it could do as good of a job or worry about hallucination, but I think there is a lot of good that this can do, especially when you hear stories like that. So I think this is coming as consumer reliance on AI health related questions is just growing like crazy. OpenAI said that roughly 230 million people discuss health topics with ChatGPT every single week. When they came out with Chat GPT help, they kind of put out that statistic and I think this really just shows how entrenched these tools already are in like everyday decision making for so many people. I think it's really unlikely that Anthropic has missed the significance of that usage pattern, especially when OpenAI kind of came out and announced that both companies right now are continuing to emphasize that AI generated health information. It's not a substitute for medical care. Right? They're putting this all over the place. There's got a lot of disclaimers they don't want to get sued. Still though, as Cloud for Healthcare and ChatGPT Health are kind of evolving, I think the boundary between administrative assistance and clinical influence is going to be really interesting to watch as I think there's a ton of benefit, but also a lot of people have concerns with it. So it's going to be interesting space. Thank you so much for tuning into the podcast today. If you enjoyed the episode, it would mean the world to me if you could leave a rating and review wherever you get your episodes. And as always, make sure to go check out AI Box AI. There's a link in the description if you want to use all of the AI, all the top AI models in the world for 20 bucks a month. And if you want to be able to build no code apps without knowing how to code any sort of apps or tools, go check out AI Box AI. Thanks so much for tuning in and I'll catch you in the next episode.