ScribeMD is an AI-powered medical scribe platform that helps physicians automate clinical documentation. Instead of spending hours on manual note-taking after patient visits, doctors can record consultations and get structured clinical notes generated in seconds.
I contributed to the development of this healthcare AI platform, working across the stack to build systems that handle real-time medical conversations and turn them into actionable clinical documentation.
EHR Integration: Connects seamlessly with existing Electronic Health Record systems
Multi-language Support: Works across 30+ languages for diverse patient populations
Technical Highlights
Built on a full-stack architecture handling real-time audio processing and AI-driven text generation
HIPAA-compliant infrastructure with full encryption, secure cloud hosting, and strict data privacy controls
Cross-platform availability: Mac, PC, iOS, and Android
Integration layer connecting AI outputs directly into existing EHR workflows
Real-time session management for recording, processing, and reviewing clinical notes
My Role
Worked as a full-stack developer contributing to the platform's AI pipeline and web application layer. Focused on building the systems that process medical conversations and structure them into clinical documentation formats that physicians can review, edit, and export.
Live Product
The platform is live and actively used by physicians across multiple healthcare institutions.