SpeedRun Ep11 Medical Videos Ideation Tales from the Sky Lounge
Episode Summary
A marketing strategist uses Claude AI to develop a content strategy for a medical SaaS client with an AI diagnostic chatbot. The AI generates platform-specific recommendations for LinkedIn, YouTube, and TikTok, analyzes successful medical content creators, and proposes viral marketing concepts inspired by 'Will It Blend' and House MD, while cautioning against IBM Watson's failed broad-claims approach.
Pull Quotes
On why physicians are mostly read-only on LinkedIn
“You got to be careful. You're in a high litigation environment with that profession and they want to be right. They want to be credible.”
On IBM Watson's failed broad-claims approach in healthcare AI
“Don't be like Watson. Don't be a general like we'll solve everything for everybody. You have to be very specific.”
On selecting meaningful KPIs for executive reporting
“You can't just throw up a wall of numbers. You know what should we be watching anyway?”
On using AI for rapid brainstorming and content strategy development
“It's good to ideate, it's good to kind of get a bunch of stuff all stuck.”
On AI surfacing obvious-but-important customer motivations
“Everybody wants to help patients, which is why you're in medicine. No surprises there. But it's good to see it spelled out for you in bullet points.”
Transcript
Okay, quick one here. Idea for a series of quick hit shorts where we're going to help a medical client, a medical SaaS provider client that has a really cool AI chatbot that diagnoses some really cool things. But how can you get the word out in this sector of the economy? So we have an exceptional AI research assistant design medical case and provide summary. Want to get more exposure for the capability and are considering making a daily series of videos. How can we make this entertaining and compelling for healthcare professionals to want to log on? And then it says hey let me ask you some questions. So we put it in there. Answer the questions. Perfect. You're awesome. So far so good. And then it goes off and thanks for a good amount of time. We had the deep research and the thinking turned on on this one. And then here you go. Viral medical content. Oh man, unfortunate selection of title there. Playbook for healthcare professionals. Okay, very cool. LinkedIn is the professional's choice. Okay, very cool. And there's some thought leadership angles and I think that's no surprise. Some really good drill down statistics on how physicians engage. I think a lot of them are read only because you got to be careful. You're in a high litigation environment with that profession and they want to be right. They want to be credible.
YouTube's education hubs. Oh wow. Look at this. 4.9 million views for Dr. Mike. I guess we're going to have to go watch Dr. Mike. And then it's ideal for medical education. And then here's the structure of how you structure an episode. TikTok and Instagram are good for something else. There's a lot of active doctors. Wow, that's pretty cool. But you got to do 15 to 34 second videos. Very cool. 90% retention. That's pretty good. Dr. Mike Character. Those are two really popular medical TikTokers, I guess. Med school insiders educational focus. Okay. What drives what you get in the mind of your customer. Okay, that's pretty cool. Professional recognition, learning and knowledge, social connection, patient impact. Everybody wants to help patients, which is why you're in medicine. No surprises there. But it's good to see it spelled out for you in bullet points.
Platform specific consumption patterns. Okay, this is when people are awake, early before and after work or between surgeries, I guess. Here's a couple things that have worked. Balancing entertainment and credibility. You do have to be credible. That is true. Red flags that destroy trust. And where is it? There was a slam on IBM's Watson in here somewhere. I can't remember where it was, but it said don't be like Watson. Don't be a general like we'll solve everything for everybody. You have to be very specific. Hybrid learning approaches. Very cool. Just amazing. Here's content structure for maximum retention. Oh man, Mr. Beast has entered the chat. Rewatchability. God, look at this. How to do stuff. YouTube version, LinkedIn version, TikTok version. Oh my god, HIPAA. That's important in medical. Good call out. And then conversion metrics, what you can expect the path forward. And then off we go.
And then I said we're considering making a compelling chatbot interface to show its effectiveness. I want to find a clever marketing spin like will it blend or ask Dr. House is it sarcoidosis and it's never lupus right? Fantastic opportunity. That's awesome. Of course it's awesome. Claude's really positive coworker here. Dr. House is brilliant. It's picking up on details. Go do some more research for six minutes. That's a lot of web crawling. Your viral marketing report is ready. And then let's see what it got. Oh, the diagnosis is in. It's already starting to be funny there. Needs a marketing spin, differential diagnosis, couple taglines. I don't know about some of these. Will it diagnose, splint approach, medical mystery, second opinion, first in line. Oh, this is kind of fun. I think these are actually going to work right here. That could be really good. So a little pony in there. It's good to ideate, it's good to kind of get a bunch of stuff all stuck. I don't know about some of this stuff.
Oh, here it is. The anti-Watson positioning. Learn from IBM Watson's failures with four footnotes. Oh god, that is harsh. And some of these are hardcore slams on Watson. Dang. Was that the $4 billion AI failure of Watson for oncology? Oh my god. I'm going to have to go read that one. Specific use cases over broad claims. Arguments never replaces messaging. Okay, yeah. Clinical evidence and progressive capability. Yep. Things you learn and you got to find the humor where you can and then here's how you know you're winning. That's pretty cool. Here's some KPIs for you to follow. That's always kind of a discussion in the executive meetings. You know what, how do we know what success looks like or what should we be measuring and monitoring and then what do we report because you can't just throw up a wall of numbers. You know what should we be watching anyway? I thought that was pretty cool. That was a neat one.
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