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shubham-kumr/LogicMed

LogicMed is an AI-powered medical data management platform designed to transform unstructured patient data (prescriptions, lab reports, scans) into structured, searchable insights, empowering doctors and administrators to make faster, smarter decisions. ----Not Yet Complete

LogicMed

Decoding Healthcare’s Data Chaos into Clarity 🩺💡


What is LogicMed?

LogicMed is an AI-powered medical data management platform designed to transform unstructured patient data (prescriptions, lab reports, scans) into structured, searchable insights, empowering doctors and administrators to make faster, smarter decisions.


Key Features

🔍 AI-Driven Structuring

  • Converts free-text notes, handwritten prescriptions, and imaging reports into standardized, analyzable formats.

Real-Time Insights

  • Query patient records in natural language (e.g., “Show diabetic patients with elevated HbA1c in Q2 2024”).

🧠 Retrieval-Augmented Generation (RAG)

  • Combines OpenAI’s intelligence with your hospital’s data for context-aware answers.

🗃️ Hybrid Storage

  • MongoDB: Stores metadata for quick access.
  • Vector Database: Enables lightning-fast similarity searches (e.g., “Find patients with symptoms like this”).

How It Works

  1. Upload unstructured data (PDFs, scans, text).
  2. Extract key details using NLP and ML models.
  3. Structure and link data to patient profiles.
  4. Query with AI to uncover trends, risks, and opportunities.

Why LogicMed?

  • For Doctors: Cut hours of manual review into seconds.
  • For Admins: Automate legacy record digitization and compliance.
  • For Patients: Enable precise, data-driven care plans.

Technical Architecture

Unstructured Data → AI Parser → MongoDB (Metadata) + Vector DB (Embeddings) → RAG + OpenAI → Dashboard/API

Languages

JavaScript64.0%Python35.4%CSS0.6%

Contributors

Created March 25, 2025
Updated July 20, 2025
shubham-kumr/LogicMed | GitHunt