Key Screens
App Screens
The diabetes module delivers a 5-tab dashboard: Comprehensive Assessment (blood glucose trend chart with goal zones), AI Counseling (priority alerts, lifestyle recommendations), Record History (CGM / manual entries), Lab Results (HbA1c, eGFR, lipid timeline), and Management Status (medication history).
Hypertension management mirrors the diabetes module's 5-tab structure with domain-specific content: systolic/diastolic trend graphs, AI priority warnings (salt restriction, aerobic exercise), blood pressure record timeline, and complication screening lab results (lipid panel, electrolytes).
Cancer care hub: pain logging (multi-site, intensity scale, type tags), upcoming appointment management, AI meal planner, medication schedule, and blood test results — all tailored for oncology patients.
Medication tracker with calendar view and AI Drug Assistant: camera-based OCR identifies prescriptions, AI performs safety analysis (drug interaction check, conflict detection), and generates a structured counseling report.
4-tab blood test report: Summary (patient profile, current status), Detailed Results (CBC, tumor markers with trend charts), AI Report (positive findings, counseling needs, lifestyle guide), and Treatment History (medication timeline).
Live Demo
Multi-Agent Orchestration Center
The centerpiece of the app — a real-time AI Agent pipeline that orchestrates four specialized health analysis Agents. Each Agent is independently configurable with Gemini or OpenAI as the LLM provider, and streams a live execution log so users can watch every stage complete in real time.
01
Select Agent & Provider
Choose from 4 Agents (diet / glucose / BP / daily report) and select AI provider — Gemini or GPT via Multi-Provider routing
02
Pipeline Execution
Prompt Registry → Template Load → Output Schema (JSON) → Prompt Hub validation before LLM call
03
Live Agent Ops Log
Real-time streaming log with timestamp, stage name, and status — each step visible as it executes
04
Validate & Store to FHIR
AI output validated against KR Core JSON schema, mapped to DTO, and persisted to FHIR R4 database
※ Full architecture detail available in the AI Agent Orchestration Platform project →
Personalized health education powered by AI: browse categorized health topics (cancer basics, early symptoms, treatment options, nutrition) and open an AI chat interface for 1-on-1 Q&A tailored to the user's health profile and condition history.