Multimodal Carbon Footprint Prediction For Healthcare

Technical Description

The technology provides a multimodal learning system for healthcare facilities that integrates administrative records, live emission data, inventory and supplier information to forecast resource demand and activity-based carbon footprint. It combines predictive analytics with supplier evaluation and procurement recommendations to support sustainable ordering and reduce over-stocking, expiry and resource wastage.

Problems Addressed

  • Fragmented Procurement and Emissions Data
  • No Integrated GHG Prediction
  • Complex Multi-facility Forecasting
  • Overstocking, Expiry And Waste Risks
  • Need For Sustainable Supplier Optimization

Tech Features

  • Healthcare Data Repository Engine
  • Information Processing & GHG Accounting
  • Real-Time Emission Recording Engine
  • Demand Pattern Prediction Engine
  • Inventory & Order Optimization Engine
  • Supplier Evaluation & Procurement Engine

Target Audience

  • Healthcare Providers & Hospitals
  • Procurement & Supply-chain Teams
  • Sustainability & ESG Teams
  • Health-tech & HIS Developers
  • Medical Suppliers & Procurement Platforms
Tech ID: P24-2256 TRL 4 Patent Status: Published in WIPO Available For Exclusive and Non-exclusive License
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P24-2256

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Contact For Licensing

Lalit Ambastha

+91- 9811367838

Dr. Medha Kaushik

+91- 6359777555

tech@ipbazzaar.com

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