Patient records, and the gap the reporting system leaves

A woman arrives at a Health Centre III with a child who has been unwell for a week. She was here in March, and again in June, and each time she was seen, treated and sent home. None of that is in front of the clinical officer now. He has a register, a queue outside, and about four minutes. So he asks her to remember: what the child was given, how much, for how long, whether it worked. She does her best. The consultation that follows is built on whatever she can recall standing at a counter with a sick child on her hip.

Multiply that morning across the country and something odd comes into view. Uganda is, by the standards of the region, extremely good at counting what happens in its health facilities. It is close to helpless at remembering it, and those two facts have sat alongside each other for more than a decade without the second ever being treated as urgent.

The counting is a genuine achievement and it should be said plainly before anything else. Uganda adopted DHIS2 as its national health management information system in January 2011, piloted it in four districts, and had it running in all 112 districts by July 2012 — an unusually fast national rollout, documented at the time in BMC Medical Informatics and Decision Making. Districts report monthly. The Ministry of Health can see immunisation coverage, malaria caseloads and stock-outs at national scale, and has been able to for over a decade. A great many countries at Uganda's income level cannot do this at all.

WHAT THE SYSTEM WAS BUILT TO DO

The distinction that matters here is between aggregate reporting and patient-level records, and it is easy to miss because both are called health data.

Aggregate reporting answers questions about populations. How many children under five were treated for malaria in Kabale last month. How many mothers delivered in a facility. It is what a ministry needs to allocate drugs, plan campaigns and answer donors, and it is what DHIS2 was designed for. A patient-level record answers a different question entirely, and only one: what happened to this person, and when. It is what the clinical officer needed when the woman reached the front of the queue, and it is the thing he did not have.

Uganda built the first and, for the most part, did not build the second. Facilities that do run electronic medical records typically assign record numbers that are valid only inside that facility, so a patient who moves between a health centre, a district hospital and a private clinic — which is to say, most patients — arrives at each one as a stranger. The Ministry of Health has recognised the gap; its Health Information and Digital Strategic Plan for 2020/21 to 2024/25 set out to institutionalise patient-level digital systems at the point of care. The intent has been on record for five years, and in most facilities the record at the counter is still a paper file on a shelf behind the clerk.

THE COST LANDS ON THE CLINICIAN

There is a second, quieter cost, and it falls on the people the system depends on. Because the reporting is aggregate and the source is paper, someone has to convert one into the other, and that someone is usually the health worker who has just finished the consultation.

The closest careful measurement of what this costs is not Ugandan, which is itself telling. A study by Siyam and colleagues in BMC Health Services Research in 2021 examined primary health facilities in Cambodia, Ghana, Mozambique, Nigeria and Tanzania, and found an average of 34 registers and 35 monthly reporting forms per facility, with recording consuming roughly a third of total consultation time and around nine hours of each health worker's month given over to reporting. Those are not Uganda's numbers, and nobody should quote them as if they were. They are, however, the nearest measured picture of a task Ugandan health workers perform in much the same way, and the pattern they describe — the double entry, the register and then the screen — is one that anyone who has sat in a Ugandan records office will recognise.

So the better the national reporting gets, the more of a clinician's day disappears into producing it, and none of that effort comes back to them as something they can use tomorrow.

THE COUNTRY IS SPLIT IN THREE

It would be convenient if this were uniform, because a uniform problem has a uniform fix. It is not.

Research published in Oxford Open Digital Health in January 2026 by Kiwanuka and colleagues, drawing on 58 interviews across national, district and facility levels in six districts, scored every district in the country on how well it actually uses the system. The distribution is almost perfectly even.

The gap between the ends is wide. High-adopting districts averaged an adoption score of 97 per cent; low adopters averaged 60.3 per cent. The barriers the study's respondents named were not, in the main, about software: unstable power and poor connectivity, too few staff carrying too much work, data entry protocols described as cumbersome, key staff without access rights to the system they are expected to use, heavy dependence on implementing partners, and no budget to maintain the equipment once it arrives. And despite everything the system makes visible, the study concludes that data use for decision making remains limited.

That last finding deserves to sit uncomfortably. The data is being collected. It is largely not being used, even by the districts collecting it.

NOT ANOTHER NATIONAL SYSTEM

The instinct in a situation like this is to procure another national system, and it is the wrong instinct. Uganda does not have a reporting problem; it has a memory problem, and the two need different things.

What would change the morning described at the start is far less ambitious than a national platform. It is a record at the facility that belongs to the patient rather than to the visit, that can be found by a name and a phone number when the card has been lost, that captures what was dispensed as well as what was diagnosed, and that produces the monthly return as a by-product of the day's work rather than as a second evening job. Systems of that shape are increasingly being built locally, for the way Ugandan facilities actually run — offline when the power goes, on the register structures the Ministry already mandates, and priced for a health centre rather than a teaching hospital. Where they fit that closely, they get used, and the reporting improves as a side effect rather than as the objective.

WHAT IS THE WAY FORWARD?

Several things would move this. The Ministry of Health should treat a portable patient identifier as infrastructure rather than as a feature of any one system, because without it every facility record remains an island. Districts should be funded to maintain what they already have, since the study's barriers are overwhelmingly about power, connectivity, staffing and upkeep rather than about software licences. Implementing partners should be required to leave systems that survive the end of a project, which is the point at which many currently stop. Providers building for this market should design for the record first and the report second, and should measure themselves on whether a health worker's documentation time falls. And the sector should commission the Ugandan equivalent of the Siyam study, because a country that cannot say how many hours its health workers spend on paperwork cannot claim to be managing it.

None of this requires starting again. The counting works. What is missing is the far simpler thing the clinical officer needed when the woman reached the front of the queue: a record that was already there, waiting, so that she did not have to be the one to remember.