DeepScribe is an AI-powered medical scribe that automates clinical documentation by utilizing specialty-specific workflows and real-time ambient intelligence to generate accurate clinical notes. This technology reduces documentation time by over 75%, allowing clinicians to focus more on patient care and improving overall clinical and financial outcomes.
Funding
$61.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+6Founders
Product
Problem
Clinicians spend a significant amount of time on clinical documentation, detracting from direct patient interaction and contributing to burnout. Traditional methods of note-taking and transcription are time-consuming and can lead to inaccuracies in medical records.
Solution
DeepScribe offers an AI-powered ambient intelligence platform that automates the creation of clinical documentation. By capturing and analyzing patient-physician conversations in real-time, DeepScribe generates accurate, specialty-specific clinical notes. The platform's AI models are trained on millions of patient interactions and can be customized to individual clinician preferences. DeepScribe aims to reduce documentation time, improve note accuracy, and allow clinicians to focus more on patient care, ultimately enhancing both clinical and financial outcomes for healthcare organizations.
Target Audience
DeepScribe targets clinicians across various specialties, healthcare organizations, and hospitals seeking to reduce documentation burden, improve clinician well-being, and enhance patient care.
Features
- Real-time ambient capture of patient-clinician conversations
- AI-powered generation of clinical notes with specialty-specific workflows
- Customization Studio with 50+ options for tailoring notes to individual preferences
- Automatic ICD-10 code generation for accurate coding and reimbursement
- Clinical Moments feature that connects note content to specific points in the patient conversation for transparency
- Integration with electronic health record (EHR) systems
- Analytics dashboard for provider performance review against clinical and value-based goals
- HIPAA-compliant data handling with end-to-end encryption and de-identified patient data