From Voice to Care: Automating Clinical Workflows
Empowering Clinicians: AI-Driven Documentation, Analytics, Data Entry & Communication
A Comprehensive Agentic AI Platform for Clinicians
Our unified workflow ensures no data silos with centralized access and complete HIPAA compliance.
Documentation
Voice transcription for diverse languages, draft clinical notes in custom formats, and extract patient history from documents.
Data Entry
EMR integration, automatic insurance code assignment, and updating EMR with lab results, patient history, and prescriptions.
Communication
Schedule follow-up appointments and send refill requests to pharmacies, all within a HIPAA compliant platform.
Analytics
Case search via chat interface, remedy recommendations based on similar cases, and analysis of diagnosis patterns across cases.
Our Technological Edge
What makes our AI solution stand out in healthcare technology
Vani AI™ Proprietary Models
Unlike competitors using generic open-source models, our Vani AI™ proprietary models are fine-tuned specifically for clinical tasks:
- •Vani AI™ voice transcription optimized for medical terminology
- •Vani AI™ specialized language models for clinical notes and analytics
- •Vani AI™ agentic framework for EMR integration and communication
Clinical Conversation Intelligence
Our Vani AI™ understands the unique flow and content of doctor-patient conversations:
- •Advanced context tracking across entire patient visits
- •Distinguishes between medical history, symptoms, and treatment plans
- •Maintains coherence across multi-topic medical discussions
Superior Performance
Our Vani AI™ approach delivers faster, more accurate results:
- •Smaller, specialized models with faster inference speeds
- •Agentic approach geared towards specific tasks
- •Optimized for real-time processing during clinical visits
Clinical Expertise
Built with deep understanding of clinical workflows:
- •Models trained on real clinical conversations
- •Designed for the specific duration and pace of medical visits
- •Focused on handling medical terminology and context accurately
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