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InnovatorAI nurse agents that find, engage and navigate patients into cancer screening, and back onto coverage before it lapses.
The patients who fall out of your funnel are the same patients either way. Maya works the front of the funnel so your nurses can work the part that needs a human.
Eligibility for lung screening is buried in smoking histories that are incomplete, out of date, or sitting in free text nobody queries. The list is the easy part. Reaching every person on it is what never gets done.
Reads structured fields and free-text notes to surface eligible patients, then ranks them by risk.
Maya reaches patients by phone in their own language, and takes the smoking history properly.
Maya guides the conversation. A clinician joins to complete and bill the visit.
Schedules the low-dose CT, sends reminders, tracks results, and notifies the PCP.
Under the One Big Beautiful Bill Act, Medicaid expansion adults must re-verify eligibility every six months and document 80 hours a month of qualifying activity. Patients who qualify for an exemption still have to prove it. Most of the coverage loss will be procedural rather than substantive, which means it lands on the patients who are mid-screening, mid-workup, or in active treatment.
Projections from JAMA Oncology (May 2026) and the Commonwealth Fund. Implementation dates are subject to ongoing litigation.
Cross-references your panel against redetermination dates and coverage status, and prioritises the patients with care already in flight.
Maya reaches patients in their own language, explains exactly what is needed and by when, and points them at the right form.
Structured intake against the medically frail criteria, with everything clinical routed to your nurse for sign-off.
Tracks who completed, who needs a human, and which patients are still at risk of lapsing before their next appointment.
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, and a nurse signs off on what Maya collects.
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.