AI Medical Scribe That Actually Understands Medicine

Our solution offers integration with major EHR systems through secure APIs. The captured data is automatically formatted to match your EHR's requirements and can be reviewed before submission. We support HL7 FHIR standards and work with most major EHR platforms.

No workflow changes required. The AI scribe works ambiently in the background during patient encounters. Providers simply speak naturally with patients while the system captures and structures the conversation. The only addition is a quick review step before finalizing notes.

Built on DeepGram's Medical Nova 3 combined with Google Cloud AI and our proprietary algorithms, our system delivers high accuracy for medical terminology and contextual understanding of complex medical conversations. All notes are presented for provider review before EHR submission.

Yes, our system uses advanced speaker diarization to distinguish between providers, patients, and other participants. It's trained on diverse accents and speech patterns common in healthcare settings.

Absolutely. We maintain HIPAA compliance with full BAA coverage, end-to-end encryption for all data transmission, data stored in GCP's HIPAA-compliant infrastructure, no persistent storage of audio after processing, and regular security audits and compliance reviews.

Only authorized healthcare providers have access. Audio is processed in real-time and immediately deleted after transcription. Text notes are retained according to your organization's retention policies.

Providers typically experience significant time savings on documentation, often reducing their note-taking time by more than half. The system captures details providers might miss while maintaining eye contact with patients.

Notes are generated in near real-time. By the end of the patient encounter, a draft is ready for review. Final notes can be in the EHR within minutes post-visit.

We offer flexible pricing: Per-provider monthly subscriptions, enterprise volume discounts, no per-note or per-minute charges, and transparent pricing with no hidden fees.

Most practices are operational within 3-4 weeks. Week 1: EHR integration setup, Week 2: System testing, Week 3: Provider onboarding, Week 4: Go-live with full support.