MedLink AI: Project Report

Executive Summary

This report details the development of MedLink AI, a high-performance clinical orchestration platform designed to bridge the "last mile" between raw medical data and actionable strategic intelligence.

Problem Statement

The modern healthcare system suffers from clinical cognitive overload. Doctors are overwhelmed by:

  1. Data Fragmentation: Patient history, real-time vitals, and lab results reside in silos.
  2. Analysis Latency: Synthesizing high-dimensional FHIR data into a triage plan takes precious minutes.
  3. High Stakes Uncertainty: Identifying subtle late-night physiological shifts requires constant, elite-level vigilance.

The complexity of patient physiological states can be modeled as: $$ S = f(V_t, H, L) $$ Where $V_t$ represents time-series vitals, $H$ represents historical records, and $L$ represents biochemical lab vectors. The search space for a correct diagnosis $\mathcal{D}$ within the knowledge graph $\mathcal{K}$ grows exponentially: $$ |\mathcal{D}| \propto e^{\alpha n} $$ where $n$ is the number of concurrent symptoms.

Proposed Solution: MedLink AI

MedLink AI uses a Human–AI Strategic Collaboration model. It doesn't replace the physician; it acts as a Strategic Cognitive Engine.

Key Innovations:

  • Nexus V5 Reasoning Loop: A self-correcting agentic loop that analyzes vitals and cross-references them with medication history.
  • Visual Intelligence: Sub-second rendering of physiological trends using Recharts.
  • Elite Design System: "Sophisticated Dark" UI to reduce night-shift eye strain and emphasize critical alerts via high-contrast medical signals.

Technical Architecture & Tech Stack

  • Frontend: React 19 + Vite (Optimized for O(n log n) rendering complexity).
  • Styling: Tailwind CSS 4.0 using a "Sophisticated Dark" high-hierarchy design.
  • Intelligence: Gemini 3 Flash Preview via the @google/genai SDK.
  • Data Visualization: Recharts for high-fidelity physiological monitoring.
  • Animations: motion/react for state-aware route and component transitions.

Project Functionality

  1. Patient Orchestration: A command sidebar allows rapid switching between priority cases.
  2. Live Vitals Synchronization: Real-time display of HR, BP, SpO2, and Temp.
  3. Autonomous Clinical Triage: The Gemini engine performs zero-shot strategic analysis to determine triage levels (Critical, High, Medium, Low).
  4. Interactive Agent: A clinical chat interface for deep-dive exploration of patient records.

Future Scalability

The architecture is designed to scale into a Multi-Agent Medical Ecosystem:

  • Agent A (Vitals Monitor): Watches for arrythmias.
  • Agent B (Pharma Guard): Cross-checks drug-to-drug interactions in real-time.
  • Agent C (Report Synthesizer): Automates discharge summaries.

The system performance vs. scalability is maintained as: $$ T(n) = O(log(n)) $$ for data retrieval, ensuring the command center remains responsive even with 10,000+ active monitored endpoints.


Developed for the Cypress Bay High School / SHPE Hackathon.

Built With

Share this project:

Updates