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Healthcare

Patient forms in the record the same day, without retyping

Intake forms, record entry, referral letters and insurance claims take hours away from patients. We automate them to the health-record standard (HL7 FHIR), with GDPR-compliant storage.

Problems you’ll recognise

What slows intake down

Typing forms into the record

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.

Clinical staff spend 30–40% of their time on documentation and admin (AMA / JAMIA research).

Backlogs that delay care

When forms take days to reach the record, appointments can be booked without allergy data and referrals sent without full medication histories.

Records outside a secure system

Paper forms in drawers, PDFs in inboxes and scan folders without access controls all sit outside an encrypted, audited system. That is a GDPR risk whether or not anyone has checked.

What we built for a healthcare client

From a 3-day backlog to same-day patient intake

Document processing · Healthcare
Before
Receptionists typed paper forms into the patient record by hand. Errors crept in, and paper files sat around the clinic without a proper GDPR review.
What we built
A system that reads handwritten or digital forms at 97%+ accuracy, checks them against the patient record and files them through the HL7 FHIR standard.
Result
Transcription errors are gone, and so are the loose paper files.
Same day patient forms in the record, down from a 3-day backlog
Saved per year€175K
Show the calculation

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

Read the full case

The service behind it

What the intake system does

This is our document processing service, set up for clinics and their patient record systems.

  • Reads printed forms and handwriting, and cleans up scans first so it works on real-world paper.
  • Checks every record against the HL7 FHIR standard before writing it. Anything unclear goes to review, never silently into the record.
  • Stores every source document encrypted, with access logged, retention set and deletion handled.
  • Sends low-confidence records to staff for a quick check, so people handle only the genuinely unclear ones.
Technical details

HL7 FHIR: the standard for connecting to patient record systemsGDPR-compliant archivingEncrypted storageTamper-evident audit log

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

Free 30-minute call

How many forms does your team process by hand 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.

Ayman Santeer
“You talk to me, the engineer who builds your system. If AI isn’t the right fix for your problem, I’ll tell you.” Ayman Santeer, Founder
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contact@elanova.ai +31 6 40747312 WhatsApp