DeepScribe Features

Optimize and make efficient clinical workflows

Integrate with existing EHRs

Synchronize patient data across the org

Leverage NLP and ML technologies to automate and optimize clinical transcription or translation needs

Provides training and education regarding clinical documentation improvement (CDI) tactics

Supports and streamlines the viewing and utilizing of patient data and assessments across the org

Provides access to collected patient data

Digitizes paper records

Provides dictation capabilities

Leverages speech recognition, deep learning, machine learning, artificial intelligence, or NLP technology

Facilitates the editing of text and navigation between documentation sections during the process of transcription

Requires user to review generated transcripts before final submission or streamlines data sharing with transcription service

Imports final transcript into patient's electronic file

Provides spell checking and other editing tools

Condenses long documents or text into a brief summary.

Recognizes medical vocabulary, abbreviations, and clinical context accurately.

Summarizes lengthy encounters into concise, clinically relevant documentation.

Adapts documentation style based on clinician preferences and historical edits.

Provides configurable templates tailored to medical specialties and visit types.

Captures patient-clinician conversations in real time and uses AI transcription and summarization to generate structured clinical notes without manual input.

Tracks access, edits, and note generation activities for compliance monitoring.

Captures and manages patient consent for audio recording and AI documentation.

Encrypts and stores patient data in accordance with HIPAA requirements.