MedRecord AI
Healthcare provider, UAE
What needed
solving
A UAE private healthcare provider was receiving 150+ patient documents per day — referral letters, lab results, imaging reports, discharge summaries — all arriving via email, fax-to-PDF, and patient portal upload. Admin staff were manually reading each document, identifying its type, extracting patient identifiers, and forwarding to the relevant clinical department. The process consumed 4 full-time admin staff and created an average 2-hour delay from receipt to clinical team visibility.
What we built
We built a document intelligence pipeline that intercepts every incoming document regardless of source. A vision-capable AI classifies the document type, extracts patient name, ID number, referring clinician, and clinical priority indicators. A routing rules engine maps the document type and department flag to the correct clinical inbox and sends a structured notification to the team. Documents requiring urgent attention are flagged with a priority indicator. Full audit trail maintained for compliance.
The numbers
Concrete, measurable outcomes delivered in production.
From brief to production
Discovery & scoping
We map the problem, understand the existing stack, and write a fixed-price proposal. No surprises.
1–3 DAYSBuild & weekly demos
You see working software every week. Feedback is incorporated immediately — not at the end.
2–6 WEEKSTesting & QA
Every integration is stress-tested before go-live. Edge cases handled, fallbacks in place.
3–5 DAYSGo live & handover
Full documentation, team training, monitoring setup, and 30-day post-launch support.
1 WEEKBuild something similar?
Book a free 30-minute call. We'll assess your situation and tell you exactly what we'd build — and what it would cost.