Emilia Javorsky

speaker
1,653 appearances 2 recordings 1 series first heard Mar 2026 last heard 20 Mar

Emilia Javorsky’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
2 · Mar OctJan 26AprJulnow

Recordings per month over the last 12 months — 2 in all, peaking in Mar 2026 with 2.

Appearances

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Let's figure out how we can get more high risk research funded and those outside of the box ideas funded.
I think there's simple fixes like let's just mandate anything that's federally funded gets electronic data capture, right?
Like the stuff we're already doing, let's make sure we write it down and get it into a format that can actually be used on the data side.
I think on the more institutional side of things and an underappreciated piece of where
the combination of collecting data and AI can be really transformative is this idea of outcomes linked reimbursement and moving from a system that basically pays this fee for service idea.
Like the more healthcare you deliver, the more things you do for a patient, the more you keep them chronically sick, the more money you make, right?
And it says, let's try a new system.
And this has been talked about for a very long time,
But I think we're getting to the moment where the technology tools exist to actually make it happen, which is an outcomes-based model.
You get paid based on whether a person's healthy or not, right?
Whether a person gets better or not.
And we haven't yet had the data to actually make that determination, right?
And switch to that kind of model of payment.
I think that the combination of data and AI will really be able to kind of make that happen.
Yeah, I mean, this is an all hands on deck
every sort of piece of the biomedical infrastructure.
How do we make it go better?
How do we identify the bottlenecks, solutions to those bottlenecks, and get those implemented with the kind of urgency that we actually need to get those implemented with?
And I would say there is the China element here and the China counterfactual.
So
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