How OrthoScribe Works
Discover the powerful features that make OrthoScribe the premier AI-powered clinical documentation solution for orthopedic practices.
Simple 3-Step Workflow
From voice recording to completed clinical note in seconds
Record
Speak naturally using your Apple Watch, mobile device, or web interface. Our AI captures every detail.
Process
Our orthopedic-trained AI processes your voice input, understanding medical terminology and context.
Complete
Receive a structured, accurate clinical note ready for your EMR system. Review and submit notes instantly.
Cross-Platform Excellence
Access OrthoScribe anywhere, anytime, on any device
Apple Watch Integration
First-to-market orthopedic scribe for Apple Watch. Record notes hands-free during patient encounters.
Mobile Apps
Native iOS and Android apps with offline capability. Document on-the-go between patient rooms.
Web Dashboard
Comprehensive web interface for reviewing, editing, and managing all your clinical documentation.
Orthopedic-Trained AI
Our AI is specifically trained on orthopedic terminology, procedures, and documentation patterns by practicing orthopedic surgeons.
Voice Recognition
Our robust voice recognition technology enables accurate, real-time transcription for medical professionals, optimizing workflows and reducing manual data entry. This includes domain-specific tuning for high accuracy in medical terminology.
AI Pipelines & Algorithms
Scalable AI pipelines that handle complex workflows, utilizing algorithms designed to process large volumes of healthcare data in a secure, efficient manner. These pipelines power processes from clinical notes to data-driven insights.
Comprehensive Security
Robust security measures ensure data protection, compliance, and resilience. From biometric authentication to continuous vulnerability scans, our solutions safeguard sensitive information and meet rigorous standards, including HIPAA compliance.
Web, Mobile, Watch & Desktop Apps
We develop custom software solutions optimized for web, mobile, and desktop, ensuring seamless, secure performance across multiple technologies and environments to meet diverse healthcare needs.
RAG & Vector Embedding
RAG (Retrieval-Augmented Generation) and vector embeddings facilitate advanced document search and knowledge management, enabling healthcare providers to quickly retrieve relevant information and deliver more personalized care.
AI-Agnostic Process Engineering
Our platform adapts effortlessly to AI models like OpenAI, Anthropic, and Llama, enabling seamless integration and future-ready evolution without re-engineering.