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AI for healthcare & life sciences

We help healthcare & life sciences organisations across Nigeria find the root cause of costly manual work and build AI systems that remove it, measured from the first audit.

Saturn, the planet this arm is named after
The Saturn arm

The challenges we see in healthcare

Long patient intake queues, HMO pre-authorisation delays, pharmacy stock expiring on shelves.

Each of these is a symptom. In Discovery we find the cause they share, so the system we build removes the problem rather than speeding it up.

AI solutions we build

  • EMR-linked intake
  • HMO claims checking
  • Expiry forecasting

Our cost benchmark for healthcare & life sciences

₦11,500 per staff hour, with about 44% of repetitive hours recoverable, mostly in HMO pre-authorisation, intake backlogs and pharmacy audits.

How we work in healthcare

  1. Discovery

    We audit HMO pre-authorisation, intake backlogs and pharmacy audits with the UniversAIDS platform, trace each bottleneck to its root cause and set a measurable baseline before anything is built.

    About discovery
  2. Implementation

    We build eMR-linked intake, HMO claims checking, expiry forecasting into the systems your teams already use, and test them against real cases first.

    About implementation
  3. Partnership

    UniversAIMS monitors accuracy, uptime and running cost, while we train your staff and review the return with leadership every month.

    About partnership

AI in healthcare: questions

How can AI help healthcare & life sciences organisations in Nigeria?

The problems we see most often in healthcare & life sciences are these: long patient intake queues, HMO pre-authorisation delays, pharmacy stock expiring on shelves. We address them with eMR-linked intake, HMO claims checking, expiry forecasting. Every system is built into the tools the organisation already runs and is measured against a baseline agreed before the build.

How much manual work can AI remove in healthcare & life sciences?

Our benchmark for healthcare & life sciences is that about 44% of repetitive staff hours are recoverable, mostly in HMO pre-authorisation, intake backlogs and pharmacy audits. A Discovery engagement replaces that estimate with a measured baseline for your own processes.

How does an AI engagement with UniversAI start?

With Discovery. Our consultants audit your processes and systems with the UniversAIDS platform, trace each bottleneck to its root cause, and deliver a costed blueprint before anything is built. You can book a consultation online or message us on WhatsApp at +234 815 712 4750.

Put AI to workin healthcare.

Tell us where your healthcare operation loses time. A senior consultant follows up within 24 hours.

Book a consultation