How long does AI implementation take for a medical practice? +
A first system — typically eligibility verification or claims reconciliation — is in production inside 4 to 8 weeks. We start with a workflow audit, ship a single high-leverage system end-to-end, and only then expand.
What is involved in implementing AI at a medical practice? +
A weekly working session with the practice manager or RCM lead, async access to a biller or clinician for workflow questions, and read-only credentials into the systems we are integrating with. No new platform to learn until the system is live.
Is your AI HIPAA compliant? +
Yes. We build HIPAA-compliant AI for healthcare operations. Data stays inside your existing systems. We sign BAAs with every model, storage, and processing layer we use. Models are configured to not retain prompts, access is scoped per role, and audit trails are written to your EHR or PM system.
How accurate is AI in healthcare? +
Every system has a human checkpoint at the clinical or financial decision — submitting a claim, sending an order, prescribing a medication. The AI surfaces and drafts; a clinician or biller accepts. Errors are logged, reviewed weekly, and fed back.
Does AI replace your EHR system? +
No. Your EHR — Epic, athenahealth, Open Dental, whatever — stays the system of record. We build on top of it. The operational layer is additive.
How much does healthcare AI cost? +
Fixed-fee for the initial audit and the first system. Retainer for ongoing operations, optimization, and additional systems. We do not bill hourly for AI work — outcomes, not seat time.
How much does an AI medical scribe cost? +
AI medical scribe pricing depends on the practice's specialty, EHR, and visit volume. Off-the-shelf scribe tools price per provider per month. Custom builds — where the scribe is integrated into the practice's existing chart workflow rather than running as a separate tool — are priced as a fixed-fee build plus ongoing retainer. We baseline charting time before deployment and report against that baseline.
What is AI revenue cycle management? +
AI revenue cycle management automates the work between a completed visit and posted payment — eligibility verification, prior authorization, charge capture, claim scrubbing, submission, ERA reconciliation, and denial management. The clinician and biller stay in the loop on every clinical or financial decision. The AI drafts, organizes, and surfaces. A human approves and signs.
Can AI integrate with my EHR? +
Yes. We build AI for Epic, athenahealth, eClinicalWorks, Open Dental, DrChrono, Cerner, and most modern EHR systems — using HL7/FHIR feeds, X12 transactions, and direct API access where the EHR supports it. We do not replace the EHR. The chart stays the source of truth.