Prediction and intervention,
built for value-based care
Yeji X reads each patient's EHR, imaging, and claims data to show care teams who to reach next, what to do, and when.
What We Do
The teams carrying two-sided risk shouldn't have to guess
what to do next
Yeji X gives executives and care managers the same thing: a clear view of what matters now, what to do about it, and when to act.
Beneficiary 4021Follow-up
Why: CHF · 2 admits in 90d · NT-proBNP ↑
Beneficiary 1187Outreach call
Beneficiary 7734Med review
Beneficiary 2903Monitor
Extends the reach of care management
Every hour is focused on the beneficiaries within your population who would benefit most from timely intervention.
128
Rising-risk beneficiaries
46
In intervention
Delivers ready-to-act intelligence
For every beneficiary, Yeji X pinpoints the next best intervention — and the right time to engage them and their caregivers.
Intelligence back into your workflow
Works with the platforms you already have
Integrates with existing EHRs, imaging (PACS), claims, and other healthcare data sources without disrupting current workflows.
Are the patients closest to an avoidable admission
at the top of your worklist?
Most value-based organizations can't answer that with confidence: The data lives in too many places.
EHRs hold one part of the picture, claims files hold another, imaging holds a third — and the worklist a care manager works from is often built on just one of them.
Yeji X reads all three together, for every patient, and ranks the roster by who is actually heading toward a cost event.
The result is a worklist that reflects the whole picture, with the next best intervention attached to each name on it.
Prediction and intervention, in one recommendation, for value-based organizations.
Featured team

David Jung
CEO & Founder
Former CEO of Promedius (Series B), where he led the pivot and commercialization, and business development at Lunit (KOSDAQ IPO). David leads Yeji X from its US headquarters in Nashville, Tennessee.

Andrew Rittler
Head of Business Development
With four decades of US healthcare leadership and direct experience inside value-based care organizations, Andrew leads Yeji X business development from Nashville.

Professor Chang-Min Park
Scientific Advisor
Professor Park leads the Korean Society of Artificial Intelligence in Medicine and is a world authority in thoracic imaging and medical AI.
Prediction and intervention in one recommendation.
Built for value-based organizations.
Yeji X is partnering with a select group of organizations — including independent ACOs in REACH and LEAD — to prove what multimodal AI can do for the populations they're accountable for.
If you're one of them, you'll see exactly which patients are closest to an avoidable admission, and what to do about each one.
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