Case Study: Digi-Dibia achieves 97% accurate community health assessments with Infermedica API

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Preview of the Digi-Dibia Case Study

Providing a 97% accurate symptom check to people with no healthcare access

Digi-Dibia, a company aiming to make healthcare accessible across Africa, faced significant challenges in Nigeria where 90% of the population lacks medical insurance and there is a severe physician shortage. Their key obstacles included a fragmented national healthcare infrastructure, a lack of trained medical personnel, and high out-of-pocket costs that prevented people from seeking professional care. To help address this, Digi-Dibia turned to vendor Infermedica and its API to equip their community agents with a tool for preliminary health assessments.

Infermedica provided an AI-driven symptom checker integrated into a tablet application for Digi-Dibia's agents. Over a six-month pilot program assessing over 2,300 patients, the tool achieved a 97% accuracy rate. It successfully bridged the gap between patients and care, while also collecting vital population health data that identified high rates of pre-existing conditions, hypertension, and obesity, enabling better preventative campaigns and community-specific healthcare planning.


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