Skip to content
Free Consultation
Industries / Healthcare
🏥 Healthcare

Clinical Staff Spend 30–40% of Their Time on Documentation.
Some of That Can Be Zero.

Intake forms, health-record entry, referral letters, insurance claims — every hour on these is an hour away from patients. We automate them at 97%+ accuracy, built to the health-record standard (HL7 FHIR) and fully GDPR-compliant.

30–40%
Of clinical staff time spent on
documentation & admin tasks
(AMA / JAMIA research)
97%+
Extraction accuracy from our
patient intake pipeline
€175K
Annual savings on our
healthcare document project

What's Actually Draining Healthcare Operations

These aren't edge cases. They're the daily reality of clinics, hospital networks, and medical practices across Europe.

📝
Manual Transcription Into EHR

Admin staff spend hours a day copying paper forms, emails, and PDFs into the patient record system (EHR), field by field — with the typos, missing values, and compliance risk that brings.

📅
Intake Backlogs That Delay Care

When intake forms take 2–3 days to reach the record, care runs on incomplete information: appointments booked without allergy data, referrals sent without full medication histories. The backlog has clinical consequences.

🔒
GDPR Exposure from Scattered Records

Paper forms in drawers, PDFs in inboxes, scan folders with no access controls. Every record outside an encrypted, audited system is a GDPR exposure — whether or not anyone has checked.

🔁
Insurance & Referral Document Handling

Pre-authorisation requests, referral letters, discharge summaries — each a different format needing manual entry. It all lands on the staff already handling intake, so the queue never clears.

Inside the Healthcare Build

Document Automation · Healthcare

From 3-Day Backlog to Same-Day Patient Intake

Receptionists transcribing paper forms into the record by hand, errors creeping in, paper files scattered across the clinic — a GDPR exposure no one had audited in months. We built a system that reads handwritten or digital forms at 97%+ accuracy, checks them against the patient record, and files them to the health-record standard (HL7 FHIR) the same day.

Before Paper form Manual transcription EHR data entry 3-day backlog
After Scan / upload AI extraction + validation FHIR API sync Same day / 97%+ accuracy
Annual savings
€175K
Intake backlog
3 days → same-day
Transcription errors
Eliminated

~7.5 FTE-hours/day of transcription eliminated (€47K) + GDPR risk reduction (€40K) + same-day processing enabling patient throughput gains (€88K). Payback: ~9 weeks.

✓ HL7 FHIR ✓ GDPR-compliant archiving ✓ Encrypted storage ✓ Tamper-evident audit log
See this and 8 more case studies →

Healthcare Automation Has Non-Negotiables

Accuracy, compliance, and auditability aren't optional features in healthcare. They're the architecture.

Handwriting + digital form support

Reads both printed forms and handwriting. It cleans up scans first — straightening and sharpening them — so it works on real-world paper, not just tidy files.

HL7 FHIR API integration

Every record is checked against the health-record standard (HL7 FHIR) before it's written. Anything that doesn't fit, or that the system is unsure of, goes to review — never silently into the record.

GDPR-compliant encrypted archiving

Every source document is stored encrypted, with access logged, retention set, and deletion handled. No more PDFs in email or unaudited scan folders.

Confidence thresholds + human review queue

When the system isn't confident, the record goes to staff for a quick check first. It clears the legible 95%; people handle only the genuinely unclear cases.

What Powers the Intake Pipeline

Azure Document Intelligence
Reads printed and handwritten forms
Python / FastAPI
Runs the pipeline and the record sync
HL7 FHIR R4
The standard your EHR already speaks
PostgreSQL + encryption at rest
Stores data securely, access controlled
Azure Blob Storage (encrypted)
Archives documents the GDPR way
React (review interface)
Where staff check unclear records

How many forms does your team process manually each day?

Tell us your intake volume and your EHR platform. We'll show you what a pipeline would look like, with GDPR and compliance already factored in.

Plan my intake pipeline