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Notiz AI

by Performation

AI Application
Low Confidence

Notiz AI is an AI module of Notiz, Performation's software for checking care registration in hospitals, developed with Adasco. It is used by care-administration and registration staff, not by clinicians. The vendor says Notiz checks registrations daily for lawfulness and completeness against structured data, and Notiz AI adds checks on free text in the electronic patient record: it reads reports such as operation, anaesthesia or telephone-consult notes and links them to registered activities to find missing or incorrect registrations before billing. Performation says the model is made hospital-specific and learns from users marking each flag as correct or not, and that it currently runs 80 generic checks. Flags go to worklists in Notiz, where staff follow them up and can open the record directly; robotic process automation can process some signals. In a supplier booklet, Performation names GPT-4o as its language model and says the product runs locally or centrally as SaaS in the Netherlands.

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Transparency Score

Weighted across four pillars · updated October 20, 2026

Overall grade
40% weighted
ABCDF
Infrastructure
—
Not yet assessed

Capabilities

Registration Completeness Check
Registration Lawfulness Check
Free Text Record Analysis
Billing Error Detection
Worklist Generation

AI Models

Underlying AI models powering this application

★GPT-4o

Vendor Information

Complete information about the vendor/provider of this AI application

PerformationView all products →
Performation Healthcare Intelligence BV(Trading as: Performation)
Contact Information
performation.com
servicedesk@performation.com
+31 30 233 3872
Registered Address
Nieuweroordweg 1, Zeist, Utrecht, 3704 EC, NL

EU AI Act Provider Information

Verification Status:
Unverified
(Last verified: October 20, 2026)
Performation Healthcare Intelligence BV(Trading as: Performation)
Nieuweroordweg 1, Zeist, Utrecht, 3704 EC, NL
servicedesk@performation.com+31 30 233 3872
Performation says its AI controls are tested at hospitals to improve the model and raise its confidence level before wider use (https://performation.com/product/ai-en-rpa/, read 2026-10-20). In its Zaans Medisch Centrum case, the hospital says the model had to be made hospital-specific and that a DBC adviser reviewed more than 1,000 records during implementation to check whether flags were correct (https://performation.com/case/notiz-ai-spoort-ontbrekende-en-incorrecte-registraties-op/, 24 March 2025).
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Added: October 20, 2026
Updated: October 20, 2026

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