Identifies the eligible patient
Reads your records, structured and unstructured, to surface eligible patients and rank them by risk.
AI nurse agents that find, engage, and navigate eligible patients into cancer screening.
Reads your records, structured and unstructured, to surface eligible patients and rank them by risk.
Maya reaches out by voice, in the patient's language, so more people say yes.
Maya guides shared decision-making. A clinician can join to complete and bill it.
Patricia B. · Lung screening (LDCT)
Maya books the low-dose CT and sends the reminders that keep it.
Radiology · confirmed with patient
Tracks results and follow-up, and keeps every patient moving.
Patricia B. · LDCT complete
Does the front-of-funnel work. Hands off the moment a human should step in.
Real phone conversations that adapt to each patient, not robotic reminders.
Completes the work end to end, from outreach to booking.
Scores and tiers patients so the highest-need are reached first.
Reaches patients in their own language.
A clinician can join any live call to complete and bill the SDM visit.
EHR-native and HIPAA-ready. No new system to log into.
How Maya finds, reaches, and navigates patients into screening.
Working with
I strongly advocate for some automated, agentic approach, because the human way of doing this is pure madness.
My medical assistant would kill for this. Take the calls, the pre-screening, the scheduling all off her.
The one thing I'd most want to solve? How we get people to document tobacco use.
Book a 30-minute call. We'll map Maya to your program and your volumes.
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