Suki AI

Converts natural physician speech into properly formatted, structured EHR note entries with clinical coding compliance. Processes unstructured dictation and outputs codable documentation ready for EHR systems.

Directly integrates with major EHR platforms (Epic, Cerner, Athena) to automatically populate patient records with generated notes without manual data transfer. Eliminates copy-paste workflows and ensures data consistency.

Specialized speech recognition trained on medical terminology, clinical language patterns, and healthcare-specific vocabulary. Achieves higher accuracy than generic voice assistants for medical dictation.

Reduces the time physicians spend on documentation tasks by automating note generation from speech, typically saving 15-20 minutes per clinical day. Enables clinicians to focus on patient care rather than administrative work.

Processes sensitive patient health information with HIPAA-compliant infrastructure, including on-premise deployment options for organizations with strict data residency requirements. Ensures protected health information remains secure throughout the voice-to-documentation pipeline.

Generates documentation that is automatically structured for proper clinical coding and billing purposes. Ensures notes contain necessary elements for accurate code assignment and revenue cycle management.

Provides immediate feedback on dictated notes, allowing physicians to review and correct documentation in real-time before it's finalized in the EHR. Enables quality assurance and accuracy verification during the documentation process.

Supports documentation across multiple medical specialties with specialty-specific terminology, documentation patterns, and clinical workflows. Adapts to the unique documentation needs of different medical disciplines.