FIELD SAMPLING, WHEN CLOSE ENOUGH ISN’T AN OPTION
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Biosearch is a Belfast laboratory testing samples for hospitals, government bodies and industrial clients across water, food, agriculture and environmental sectors. When a sample is misattributed or arrives in unknown condition, it isn't just an admin problem. It can invalidate a result that someone is relying on to make a regulatory or clinical decision.
They came to us with more than 100 field samplers collecting data on paper, then re-keying it into the lab's systems back at base.
THE PROBLEM
It looked like a paperwork problem.
It wasn't.
The paper process was slow, but the real cost was downstream:
The lab couldn't see what was coming until it arrived. No way to prepare, no way to flag a defective sample before it had already moved through the chain.
Every sample was logged twice. Once on paper in the field, once into the lab system back at base. The errors that crept in between were the kind that mattered.
A growing client base meant the model didn't scale. More samplers meant more re-keying, more errors, more turnaround pressure.
Critical knowledge about how samples should be handled lived with the samplers, not in any system.
What Biosearch needed wasn't a digital version of the paper form. They needed the lab to have eyes on the field, and the field to be guided by
the lab's requirements, in real time.
WHAT WE BUILT
Three connected pieces, each built around how Biosearch actually operates:
“The Biosearch app and accompanying web portal has changed the industry in Ireland. We would love to take it global.”
Jeremy Trimble / Business Manager
WHAT CHANGED
In under six months, the platform was live with 50+ partner organisations and 100+ samplers using it daily.
47,000+ samples and 58,369 tests processed per month
15.5% productivity increase across the organisation
Defective samples flagged before they reach the lab, not after
The lab can plan its day against the work that's actually coming in
The paper process is gone. More importantly, so is the gap between what the field knew and what the lab knew.
WHY IT WORKED
We started by trying to understand the business, not the brief. Before any code was written, we spent time on site with the people doing the work, learning where the day was lost, where the errors crept in, and where the operation was being held back from growing.
What Biosearch needed wasn't a vendor delivering an app. They needed a partner who would take the time to understand their operation properly, and who would still be there as that operation evolved. That meant building a platform that fits how the lab actually works, removes the time being spent on the wrong things, and gives Biosearch the room to scale without rebuilding the way they run.
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