GRO Track AI Clinical Assistant
A voice-first AI assistant for hair restoration clinics to manage patients, review hair analysis, and plan treatments — without touching a screen.
Voice-first Access
Access patient records hands-free using natural language commands in the clinical environment.
Live Visual Cards
Dynamic interface renders relevant clinical data cards instantly in response to voice queries.
AI Narration
Complex hair density metrics and machine learning results explained in plain, actionable language.
Conversational Planning
Build and adjust treatment plans through natural dialogue, securely logged to the patient profile.
Clinical Workflows
Voice Patient Lookup
Clinicians can instantly retrieve patient records using natural language. The system securely identifies the patient and surfaces a concise flashcard containing vital medical history and recent notes.
Clinical Hair Analysis
Review before/after comparisons with machine learning overlays. The AI quantifies follicular unit density and visually highlights areas of improvement or concern.
Conversational Planning
Update treatment plans securely via voice. The assistant confirms complex medical dosages and schedules before committing them to the patient's permanent record.
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The Engineering Challenges
Agentic Tool Loop
Designing a robust loop allowing the AI to autonomously query APIs, interpret medical data, and decide when to present visual cards versus spoken responses without human intervention.
Voice/Visual Synchronization
Ensuring that the rendered visual flashcards appear on the screen precisely as the AI references them in its streaming audio response to maintain a seamless clinical experience.
Strict Data Isolation
Implementing rigorous multi-tenant architecture to guarantee that patient data and ML results are completely isolated per clinic, adhering to strict healthcare compliance standards.
Prompt Engineering & Cost Tracking
Optimizing system prompts to enforce clinical precision while managing token usage efficiently. Integrated real-time Stripe billing tied to token consumption per clinic.