______________
OPINION
By Dianah Nassimbwa
When we discuss improving healthcare in Uganda, attention often goes to doctors, nurses, laboratories, medicines and health facilities. Yet, one critical component receives less attention: logistics.
A medicine can be procured, but if it does not reach a health facility on time, it cannot help a patient. Similarly, modern laboratory equipment cannot deliver results without reliable supplies of reagents and consumables. Vaccines also depend on effective cold-chain systems to maintain their quality from storage to delivery.
Uganda’s health system serves millions of people every year, making efficient supply chains essential to quality healthcare. As services expand, the timely availability of medicines, laboratory supplies, vaccines and equipment becomes increasingly important. Effective logistics ensure that health investments reach the facilities, health workers and communities that depend on them.
Behind every facility is a supply chain that ensures commodities, equipment, samples and data move efficiently. Investing in logistics is, therefore, investing directly in health outcomes.
This makes logistics more than transportation. It is part of the quality of care.
As Uganda continues strengthening its health supply chains, there is an opportunity to make greater use of artificial intelligence (AI).
AI does not need to replace health workers or logistics professionals. Its greatest value may be helping them make better and faster decisions.
AI-powered forecasting could analyse historical consumption, seasonal disease patterns and facility demand to predict future requirements for medicines and laboratory reagents.
Imagine a system that identifies a likely increase in demand for a laboratory commodity in a particular region and alerts supply-chain managers before stocks become critically low. Action could then be taken before the problem reaches the patient.
AI could also support inventory management by identifying facilities approaching minimum stock levels, detecting unusual consumption patterns and supporting appropriate redistribution.
Transportation offers another opportunity. AI-supported route optimisation could help develop more efficient delivery schedules, particularly when commodities must travel long distances to reach lower-level facilities.
Cold-chain management could also benefit. Sensors generate valuable temperature data, while AI could analyse it and provide early warnings when conditions may threaten vaccines, reagents or other temperature-sensitive commodities.
Laboratory equipment could similarly benefit from predictive maintenance, using performance data to identify potential faults before equipment fails.
The result would be a logistics system that is increasingly predictive rather than reactive.
Uganda has already invested significantly in digital health and laboratory information systems. The next step is ensuring that data, generated across the health system, is used intelligently.
AI must, however, be introduced responsibly. Health information is sensitive and technology must protect privacy, maintain accountability and keep human expertise at the centre of decision-making.
The goal should not be technology for its own sake. It should be better information, better decisions and better health outcomes.
Resilience also requires continued investment in people. Forecasting, inventory management, warehousing, distribution, laboratory logistics, data management and digital technologies all require specialised skills.
The COVID-19 experience demonstrated how quickly global supply chains can be disrupted. Disease outbreaks, extreme weather, and international market disruptions can affect the availability and movement of essential commodities.
Uganda, therefore, needs supply chains capable of responding to both today’s needs and tomorrow’s uncertainty.
Ultimately, a supply chain is successful when the patient does not have to know that it exists.
The mother who receives medicine, the child who receives a vaccine, the clinician who receives a laboratory result on time and the community whose outbreak is detected early are all beneficiaries of logistics that worked.
Investing in that chain is investing in health outcomes. Harnessing responsible AI can make it smarter, while building resilience can make it stronger. Together, these investments can help secure a healthier Uganda.
The writer is a global health supply chain policy analyst and the laboratory logistics officer at the Ministry of Health — Uganda National Health Laboratory Services