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ClinDex

AI-assisted prescription validation and clinical decision support system.
Live App: https://clindex.joanathan.in

Next.js TypeScript Supabase Groq


Overview

Clindex validates multi-drug regimens against patient physiology (eGFR, hepatic function, age, conditions) to catch adverse drug-drug and drug-disease interactions with zero missed contraindications.

  • Adaptive Intake: Queries missing clinical clearance markers before running checks.
  • Grounded Verification: Cross-references candidate drugs with RxNorm and OpenFDA to prevent hallucinations.
  • Tiers & Alternatives: Categorizes risks into Avoid, Caution, or Safe with evidence-backed substitutes.

Performance

Metric Result Benchmark
Safety Recall 100% 0 missed contraindications across test cohorts
Harmonic F1 0.909 Minimal alert fatigue
Accuracy 85.7% Grounded multi-class classification
Latency ~5.2s Groq LPU inference vs. 5–10 min manual review

Quickstart

git clone https://github.com/JoanathanPS/Clindex.git
cd Clindex/web
npm install
npm run dev

Author's Note

"I built Clindex because catching dangerous drug interactions shouldn't mean drowning in alert fatigue or deciphering dense formularies at 1am. Every interaction is grounded in clinical datasets with transparent biological mechanisms and actionable alternatives — built to solve a real clinical problem, not just demo an AI prompt."

Joanathan Packia Singh · Read my résumé →


⚠️ Disclaimer: Research and educational prototype only. Not a certified medical device. Decision support only.

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