What you recognize
As an operations manager in a healthcare facility, you know this scenario all too well: patient data streams in via referral letters, forms, lab results and external EHR systems — and each time, someone from the administrative team has to manually enter that data into HiX, Chipsoft or Epic. One typo can lead to an incorrect medication dosage or a missed appointment.
Imagine: it's Monday morning. There are 40 referral letters from the weekend. Your team starts opening them one by one, typing the name, the BSN, the diagnosis and the reason for referral into the EHR. Meanwhile, a specialist is waiting for the lab results of a patient already in the waiting room.
What this costs you
| Activity | Time per week | Costs per year |
|---|---|---|
| Manual entry of patient data | 12 hours | €18,720 |
| Reviewing and correcting errors | 4 hours | €6,240 |
| Synchronizing between systems | 3 hours | €4,680 |
| Requesting missing data | 2 hours | €3,120 |
| Total | 21 hours | €32,760 |
*Based on an average administrative salary of €30/hour in Dutch healthcare.*
How AI takes a different approach
An AI agent for patient data processing works like a tireless administrative professional — 24/7, error-free and fully GDPR-compliant.
1. Automatic extraction: The agent retrieves patient data from referral letters (PDF, email), digital forms and external systems via HL7 FHIR — the standard supported by all Dutch hospital systems.
2. Validate and enrich: Every field is checked for completeness. BSN verification, address verification via the BRP and alerting of duplicate patient records happen automatically.
3. Process in the EHR: Approved data is entered directly into HiX, Epic, Nexus/Chipsoft or any other EHR — via the existing API connection, without manual intervention.
4. GDPR-compliant recording: Every processing receives an audit trail with timestamp, source and purpose — in accordance with GDPR and the NEN 7510 standard for information security in healthcare.
> Expert tip: Configure the agent so that exceptions — incomplete or questionable data — automatically go to a staff member. Your team stays in control, but spends their attention only on cases that really need it.
What it delivers
How other operations managers in healthcare use this
In a mid-sized home care organization in the Randstad, the administrative team processed dozens of care files daily for new clients. Each registration took an average of 45 minutes: completing forms, checking indications, creating files in the scheduling system.
With an AI agent taking over reading and entry, the staff member primarily does the final review: fewer entry errors and processing more clients without additional staff.
Ready to start?
Do you want to know how many hours per week your team spends on manual patient data processing — and what there is to gain? We always start with a free analysis of your current workflow.
[Schedule a meeting](https://unify-ai.nl/contact)