Question 1

Is RN Scribe HIPAA compliant?

Accepted Answer

Yes. RN Scribe is a HIPAA-compliant clinical documentation tool. All patient audio and transcripts are encrypted with AES-256 at rest and TLS 1.3 in transit. Business Associate Agreements (BAAs) are required with all healthcare organizations. Audit logging is append-only with 6-year retention. No patient health information is sent to cloud APIs — local ASR models only.

Question 2

Does RN Scribe work without internet?

Accepted Answer

Yes. The mobile app records audio and stores it encrypted on the device. When internet is restored, recordings sync automatically. Nurses can record assessments in areas without WiFi — patient rooms, operating rooms, or field settings — without loss of functionality.

Question 3

How fast is the transcription?

Accepted Answer

Real-time transcription processes audio with less than 500 millisecond latency. Perceived latency from speech to text on screen is typically under 2 seconds, meeting real-time clinical documentation requirements.

Question 4

Is RN Scribe a medical device?

Accepted Answer

No. RN Scribe is a clinical documentation tool that transcribes and formats what was said. It does not diagnose, recommend treatments, or make clinical decisions. This classification keeps RN Scribe outside FDA Software as a Medical Device (SaMD) regulatory scope.

Question 5

Which states require patient consent to record?

Accepted Answer

RN Scribe supports all 50 US states and DC. In two-party consent states (California, Florida, Illinois, Pennsylvania, Washington, and others), the app requires explicit patient confirmation before recording starts. In one-party consent states, the nurse's consent is sufficient. Administrators configure the state in settings to enforce the correct consent workflow.

Question 6

How does speaker identification work?

Accepted Answer

RN Scribe uses speaker diarization to automatically identify and label distinct voices in a recording. The system tags speakers as nurse, patient, or physician, enabling structured note generation where each person's remarks are attributed correctly in SOAP, SBAR, or DAR format.

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