DycoVue spent three months on the ground with imaging facilities across two states in Nigeria. The question was not “does PACS exist in textbooks?” It was whether Nigerian radiology departments can actually archive, retrieve, and share studies, and whether they are ready for AI on top of that archive.
The work is also covered by DIMIST under “Great Disparities in Radiological Resources in African Countries.” This page is our own summary for clinics and hospitals evaluating PACS in Nigeria.
What we were looking at
- How images are stored today (film, local folders, vendor PACS, none)
- Whether priors can be retrieved when the patient returns
- How reports reach referring clinicians
- Network, power, and staffing constraints on digital imaging
- Whether AI tools would have a usable image archive to sit on
Why this matters for PACS software
Nigeria’s radiologist shortage is well known. We cite the order of one radiologist to about three million people as the access gap we are designing against. Without a PACS, teleradiology cannot scale: there is nothing reliable to send. Without a RIS, the operational side (who was scanned, who reported, what was billed) stays in notebooks and WhatsApp.
That is why DycoVue is imaging infrastructure first. AI-assisted reads only help if the study is in a proper archive. Cloud PACS is the layer that makes remote reporting and prior comparison possible for Nigerian sites that cannot staff a full on-premise PACS team.
What we are doing with the findings
The survey feeds our Lagos pilot and Nigeria operating entity: deployments that assume mixed bandwidth, the need for training, and integration with equipment already on the floor. If you run an imaging centre in Nigeria and want PACS or RIS scoped against this reality, talk to us.