DeepScribe

Converts real-time or recorded clinical conversations between providers and patients into accurate text transcripts. Captures medical terminology, patient statements, and clinical observations with high fidelity.

Transforms unstructured clinical conversation transcripts into organized, EHR-ready clinical notes with standard sections (chief complaint, history of present illness, assessment, plan). Applies medical documentation standards automatically.

Seamlessly pushes generated clinical notes directly into integrated EHR systems (Epic, Cerner, Athena) without requiring manual copy-paste or re-entry. Maintains data integrity and workflow continuity.

Manages all clinical data with end-to-end encryption, secure transmission, and HIPAA-compliant storage. Ensures patient privacy and regulatory compliance throughout the transcription and documentation process.

Accurately identifies and preserves medical terminology, drug names, anatomical terms, and clinical abbreviations during transcription. Prevents common speech-to-text errors that could compromise clinical accuracy.

Measures and reports on time savings achieved through automated documentation, comparing manual documentation time against AI-assisted time. Provides metrics on efficiency gains and administrative burden reduction.

Captures clinical conversations as they happen in real-time during patient visits, allowing providers to focus on patient interaction rather than note-taking. Enables hands-free documentation during the encounter.

Provides interface for providers to review, edit, and refine AI-generated clinical notes after the encounter. Allows correction of transcription errors, addition of missing information, and customization before EHR entry.