AI employees for healthcare operations

Documentation, scheduling, coding, authorizations, denials, and follow-up are the non-clinical grind that burns out staff and decides whether a practice gets paid. Deploy employees that draft the note, work the front desk, code the chart, win the auth, recover the denial, and check on every patient - in your EHR, with staff in the loop.

The work that buries a practice mostly isn't the medicine - it's around it: writing the note after every visit, answering the phones and filling the schedule, coding the chart, fighting for authorizations, working denied claims, and following up with patients who'd otherwise fall through the cracks. It's the highest-spend area in healthcare AI today, because it's where the staffing shortage and the money both live. A GreatApe employee takes that work end-to-end - in your EHR, clearinghouse, and phone lines - and keeps a human on the clinical decisions: the clinician signs every note, a coder owns the edge cases, and a nurse takes anything clinical. It handles operations, never medical judgment.

Top of the spend
Documentation + revenue cycle, where healthcare AI dollars go
Admin, not clinical
Clinicians sign, coders review, nurses take the clinical calls
HITL
Every clinical decision stays with a person
In your EHR
Epic, Oracle Health, athenahealth - no rip-and-replace
HIPAA-ready
Least-privilege access, scoped to your compliance
Fully auditable
Every action logged with a reviewable trail
The employees

From the visit note to the paid claim - and back to the patient

Questions

Frequently asked

The non-clinical operational work that surrounds care: drafting visit notes, patient access and scheduling, medical coding, prior authorizations, denial management, and post-visit follow-up. The clinical decisions stay with people - the clinician signs the note, a coder owns the edge cases, and a nurse handles anything clinical.

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