372 - Federated learning and the future of healthcare

In this Talking HealthTech episode, Peter Birch talks to Greg Miner and Guy Tsafnat from Evidentli about making healthcare data more useful. They discuss the technical aspects of data federation versus data aggregation and why these approaches are important. They also touch on how data federation is impacting HealthTech globally.

Key Points:

Evidentli uses AI to convert disorganised clinical data into a format that's easier to analyse, doing it faster than traditional methods.
Handling raw healthcare data usually takes a long time; Evidentli can speed up this process considerably.
They've developed a way to handle disorganised data, like clinicians' notes, more efficiently.
Evidentli's automated systems can be adapted for each customer, which enhances data accuracy.

Timestamps:

[00:00] Introduction
[00:58] Meet Guy and Greg
[02:30] About the technology
[03:40] What is OMOP
[04:11] How was this done before?
[05:30] More about the technology
[08:25] Humans vs The Algorithm
[10:24] The Go To Market Strategy
[13:10] How data federation works
[14:20] Removing bias with data federation
[15:58] Localising evidence with federated data
[17:05] The global needs of data federation
[21:55] The Evidentli interface
[23:05] What does the future hold
[25:00] Closing

For more, visit the Talking HealthTech website.

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