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When the Shelf Is Empty: How Better Data Can Help Ghana's Hospitals Close Medical Supply Gaps

Vera Dede Atiogbe · Aug 26, 2026

A patient arrives at a district hospital needing a routine medication. The prescription is straightforward, the diagnosis is not in question, but the drug is not on the shelf. This is not a problem confined to one facility. Stockouts of essential medicines under Ghana's Framework Contract system were reported across all four facility levels assessed in 2022, from CHPS compounds to regional hospitals, and they rarely come from a single dramatic failure. More often they come from a slower, quieter problem: nobody upstream saw the shortage coming in time to act.

A System Under Real Pressure

Ghana operates more than 90 public hospitals and over 200 private hospitals, supported by roughly 4,300 doctors and 68,000 nurses. Government health spending has been rising, reaching an estimated GH¢17.8 billion in 2025, a 13.4 percent increase over the previous year. More funding, however, does not automatically mean fewer empty shelves.

Research on Ghana's Framework Contract system, which governs procurement of 65 essential medicines, found 2022 stockout rates of 28.6 percent at CHPS compounds, 37.2 percent at health centres, 36.8 percent at district hospitals, and 29.6 percent at regional hospitals. These figures span common, everyday medicines, not rare or specialised drugs.

Where the Gap Actually Starts

Stockouts in Ghana are not usually a story about a lack of medicine somewhere in the country. They are a story about visibility. A study of the Upper East Regional Medical Stores found that medicine availability was affected by restricted emergency procurement flexibility, communication breakdowns between procurement entities and suppliers, and delayed payments, factors that can leave facilities unable to respond quickly when supplies run low. Before 2020, Ghana's health supply chain was moving away from paper-based processes toward electronic systems designed to give more timely, integrated visibility across the chain.

What Data Has Already Changed

This is the piece that has begun to shift. In 2020, Ghana's Ministry of Health, working with USAID and the Global Fund, launched the Ghana Integrated Logistics Management Information System, known as GhiLMIS, an electronic supply-chain management system designed to improve visibility and provide near-real-time access to supply-chain data. By the first quarter of 2023, uptake and utilisation of GhiLMIS had reached 80 percent for at least one system module.

Perhaps most notably for anyone working in data analysis, GhiLMIS data is exported into Power BI, where it supports predictive analytics on stock availability based on facility-level demand trends, turnaround time, warehouse processing, and order cycle time. Under the Framework Contract system, average supplier lead time also fell sharply, from 188.4 days in 2018 to 80.4 days by 2022, alongside improvements in supplier performance and procurement efficiency.

Why This Still Isn't Solved

None of this means the problem is fixed. A tracking system only closes a gap if the data inside it is complete, current, and actually used at the facility level to trigger reordering before stock runs out, not after. Stockout rates above 28 percent under a system already using Framework Contracts show that data visibility alone does not guarantee faster resupply; it has to be paired with procurement flexibility and funding that can respond quickly once a gap is flagged. Lower-tier facilities also face challenges in maintaining reliable connectivity and using digital systems effectively.

Where Better Data Could Still Help

The clearest opportunity is not more data collection, but faster translation of the data already being collected into action. A predictive model that flags a facility trending toward a stockout two weeks before it happens is only useful if it triggers a reorder immediately, not after the shelf is already empty. Expanding predictive analytics from national-level dashboards down to facility-level alerts, and pairing that with procurement processes flexible enough to respond quickly, is where the next meaningful gains likely sit. Ghana has the underlying infrastructure. The next stage is making sure the data reaches the people who can act on it, in time to matter.

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