Deepscribe capabilities

Turns the captured ambient conversation into a structured, specialty-specific clinical note that the clinician reviews and approves in their EHR.

Automatically suggests medical codes across E/M, ICD-10, and HCC categories from the ambient conversation plus EHR context, with audit-ready supporting documentation for proper reimbursement.

An ambient AI scribe that passively records and analyzes the natural patient-clinician conversation during a visit, with no typing or dictation required, so the clinician can focus on the patient.

Deep, two-way integration with enterprise and specialty EHRs that reads chart context before the visit and writes structured notes and codes back into discrete EHR fields after it.

A self-service personalization layer that adapts DeepScribe's note output to each provider's style, format, and voice, and learns continuously from the edits they make.

Live, in-exam-room intelligence that prompts the clinician during the visit to capture HCC/coding requirements and confirms whether MEAT criteria were met for each condition.

A clinician-facing mobile app used to start and run the ambient encounter capture hands-free at the bedside.

DeepScribe does not publish public pricing or named self-serve tiers; pricing is a custom enterprise quote arranged through sales after a demo.

Healthcare-grade security and compliance posture for ambient AI, including HIPAA alignment, SOC 2, encryption, and a dedicated Trust and Safety Suite.

Pre-visit intelligence that automatically gathers, organizes, and summarizes a patient's relevant clinical record into a structured pre-chart, specific to the upcoming visit type, before the clinician walks in.

Purpose-built, specialty-tuned AI models that understand the terminology and documentation patterns of complex specialty care rather than a single generic note model.