hospitopt-rs

Rust-based optimization project that uses constraint programming to maximize the number of lives saved in emergency and healthcare scenarios. It models hospitals, diseases, available beds, ambulance positions and capacities, and patient needs, then computes optimized resource allocations to improve medical response and outcomes.

Vision

• Capture hospitals, treatments, bed capacity, ambulance fleets, and patient demand in a unified Rust model.
• Explore Google OR-Tools CP-SAT (via the cp_sat bindings) to optimize triage, routing, and resource allocation.

Getting started

1. Start you dotenv file

   cp .env.example .env

2. Start PostgreSQL locally with Docker Compose (runs on localhost:5432)

   docker compose up -d postgres

3. Apply database migrations

   sea-orm-cli migrate up

   Need a clean slate? Use sea-orm-cli migrate refresh.

4. Run the tests or binaries as usual

   cargo test

   cargo run

5. Seed curated reference data (optional)

   cargo run -p scripts

   This command clears the existing hospitals and hospital_specialities tables and inserts a curated dataset covering eight flagship hospitals across Lisbon. It uses coordinates sourced from the public GeoJSON dataset at dados.gov.pt and fills in illustrative bed capacities plus Manchester triage wait targets so you can experiment with the optimizer immediately.

   Need to add more synthetic patients without wiping the previous ones? Set the mode to append when running the script:

   PATIENT_SEED_MODE=append cargo run -p scripts

   The default mode is reset, which keeps the deterministic hospital snapshot while refreshing patients on every run.

When you're done developing, stop the database container with docker compose down (add -v to prune the named volume).