YouSaid · the spoken record

Julie Yoo

lines on the record: 55
first: 2024-09-07
most recent: 2024-09-07
sittings or episodes: 1
sources: podcast

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“And productize them, package them in a way that can all of a sudden be sort of globally applied to the broader population that should benefit from it. And so, I mean, we have a number of examples in our portfolio that I think we'll touch on along those lines, but those are very good and big points to think about right now.”
2024-09-07 · a16z Podcast · Grand Challenges in Healthcare AI · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. Yeah. And I think it's timely in the sense that obviously one of the number one crises that our healthcare industry is facing right now is a labor crisis in that we have a shortage of labor to do these kind of highly specialized jobs that we have, whether it be clinical or whether it be administrative, but also those individuals who are in those jobs today are extremely burnt out because of, ironically, the technology burden that we put on them, whether it be in the form of revenue cycle tasks or EHR workflows and things like that. So that's certainly something that we hear all the time. I think the other thing that you touched upon is sort of the damn humans that have gotten in the way in the past, not the technology per se, but one of the hardest things in healthcare is behavior change and whether that be on the part of the patient to adopt some sort of new behavior that helps them get better or in the case of a clinician, something that sort of changes the way that they do their job. And I think that's to me one of the biggest opportunities is how do you take things that constitute behavior change that have been proven in very niche populations?”
2024-09-07 · a16z Podcast · Grand Challenges in Healthcare AI · IDENTIFIED FROM THE TRANSCRIPT · source
“They immediately the hard part of the question, right? Because if we talk about the 20 year arc, I think a lot can happen. So the immediate part is an issue of both technology and also people, right? What will people accept? What will people adopt? And in many ways, I think when you think about the history of technology and healthcare, who will buy it, who will incorporate it? How will it work into doctors' workflows? So I think the immediate part is something that is so good, like not 10% better than what you have now, but like 10x better than what you have now, that the adoption becomes natural or so easy to adopt that even 10% better could work. And so when you think about what could be 10x better, it has to be something where maybe it's making decisions or it's helping doctors as a co-pilot and something that's like a superpower they didn't have. Or if it's 10% better but easier to adopt, maybe it doesn't even look like software. Maybe it looks like staffing or maybe it looks like you're texting something. And that's easy to incorporate. And even if that does a little bit, that could.”
2024-09-07 · a16z Podcast · Grand Challenges in Healthcare AI · IDENTIFIED FROM THE TRANSCRIPT · source
“So, Vijay, you and I talk about the fact all the time that healthcare is an industry that used to be intractable with respect to the adoption of technology, but we are also super optimistic that healthcare is now potentially one of the biggest beneficiaries of technology in the form of AI. And so we wanted to have a conversation here today about basically what you and I do on a daily basis, which is riff about some of the grand challenges that we see for builders in the healthcare AI space. And so let's actually start just with your sort of high-level thoughts on where do you think AI will make the biggest difference in healthcare immediately?”
2024-09-07 · a16z Podcast · Grand Challenges in Healthcare AI · IDENTIFIED FROM THE TRANSCRIPT · source
“The beauty of technology is that it can unlock not just incremental improvement, but completely change the world we live in today. Just think, a hundred years ago, we didn't have the internet, commercial flight, or anything that resolves self-driving cars. But equally, in healthcare, 100 years ago, we were still decades away from the double helix discovery, antibiotics, IVF, and so much more. And perhaps there's no better industry where we can make these truly monumental shifts than in healthcare. And in today's episode, we explore these audacious grand challenges over the next hundred years, or hopefully even less, in healthcare AI.”
2024-09-07 · a16z Podcast · Grand Challenges in Healthcare AI · IDENTIFIED FROM THE TRANSCRIPT · source