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Bayesian Health

Bayesian Health

Bayesian Health provides a real-time clinical intelligence platform for health systems. Its AI software analyzes patient data from electronic medical records to detect risks such as sepsis, clinical deterioration, and pressure injuries, and delivers real-time alerts and guidance to clinicians within their existing workflows.www.bayesianhealth.com

Search complete. 2 mentions across 1 episode found for "Bayesian Health".

Oct 29, 2026

Mike HaneyHOST
2:02
This episode represents both the promise of how transformative, how literally life-saving continuous analysis of data can be, and how freaking hard it is to get it to work in the real world.
Mike HaneyHOST
2:12
Suchi Saria is a professor and AI researcher at Johns Hopkins and the founder of Bayesian Health, the company she spun out to bring her work out of the lab and into clinical care.
Mike HaneyHOST
2:20
Saria's first commercial tool is one that detects sepsis, a shockingly common and often fatal condition in hospitals, where the body goes into overdrive fighting an infection and starts to shut down organs.
Mike HaneyHOST
2:30
It's a bear to detect because so many early signs look like lots of other things.

21 MINS LATER

Suchi SariaGUEST
23:40
What it does is it integrates with the EMR in real time, not like 15 minutes or an hour, but real time is pulling data, analyzing this data, and then flagging and moving signals back into workflow, a clinician's workflow, to make it very easy for them to recognize when somebody is potentially in trouble that might have gotten missed.
Mike HaneyHOST
24:00
That integration with the EMR seems like such a key component to this journey you've had, which is, you know, you were in your academic position at Johns Hopkins where you still are.
Mike HaneyHOST
24:09
When this was developed, as you mentioned, you founded Bayesian Health to sort of commercialize this and bring it.
Mike HaneyHOST
24:13
And that's been a journey of several years, and we're going to dig into more of what happened there.

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