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a-feranmi/medshare

Domaine:

healthcare

Type de record:

software
Créateur:
a-f
Hôte:
This is a masters thesis repo for drug redistribution to reduce expiry in Nigeria. # MedShare — Inter-Pharmacy Drug Redistribution Framework An integrated decision-support framework that helps community and hospital pharmacies redistribute surplus, near-expiry medicines to other pharmacies that need them — before the stock expires and the value is lost. The framework combines three models behind a single platform: 1. **Expiry-risk classifier** — predicts which stock batches are likely to expire unsold. 2. **Demand forecaster** — estimates near-term demand per pharmacy and drug, with uncertainty. 3. **Redistribution matcher** — pairs at-risk surplus with pharmacies that can sell it in time. It is delivered as a PostgreSQL database, a FastAPI backend, and a Streamlit pharmacist application, evaluated by Monte Carlo simulation. This repository is the reference implementation accompanying the MSc thesis. > **Scope.** The system is evaluated on a **calibrated synthetic network** anchored to > a 39-pharmacy survey. Reported impact figures are **simulation-based projections**, > not measured field outcomes. See Data & honesty. --- ## Architecture ``` Survey (39 pharmacies, real) +------------------------------+ data/*.xlsx --> generator --> | PostgreSQL database | (hybrid 150- | stock . sales . scores . | pharmacy network) | forecasts . recommendations . | | transfers . requests . waste | +--------------+-----------------+ +------------------------------+ | | Models (nightly pipeline) | score -> forecast -> match -> notify) | | `python -m src.evaluate --runs 200 --curve` | Monte Carlo evaluation: waste-reduction curve, break-even, sensitivity | | `python chapter4_stats.py` | Print the operational snapshot for the results chapter | | `streamlit run app/streamlit_app.py` | Launch the pharmacist app | | `uvicorn api.main:app --reload --port 8000` | Launch the FastAPI backend (docs at /docs) | The Streamlit app lets a pharmacy **log newly received stock**, view its at-risk batches, offer s …