Document fraud detection

Detect a fake medical fee note

Osteopathy, dental care, optics, psychology: fee notes and care invoices trigger reimbursements from health insurers. An inflated amount or a treatment that never took place is paid out directly. Docusan checks these documents as soon as they are received.

Typical frauds

The most common forgeries

01

Inflated amount

The amount of a genuine fee note is increased to obtain a refund above the actual costs.

02

Fictitious or impersonated practitioner

The note is issued in the name of a practitioner who does not exist, or whose identity and numbers are used without their knowledge.

03

Fabricated note

A note is created from a template for a treatment that never took place.

Our detection approach

What Docusan analyzes

Four levels of analysis to spot forgeries, whether the document is a PDF, a scan or a photo.

01

Metadata

  • Missing metadata
  • Inconsistencies in the file properties
02

Pixel-level anomalies

  • AI-generated images, deepfakes
  • Inserted content (splicing, inpainting, copy-move…)
03

Structural anomalies

  • Edits and annotations
  • Recovery of previous versions
04

Customizable detectors

  • Consistency with document templates
  • Data cross-checking
  • Watchlists

Relevant industries

FAQ

Your questions

Can Docusan automatically analyze every note received?

Yes. The API integrates with your management tool: each document is analyzed upon receipt and its risk level is reported in real time.

Can the notes of a single policyholder be grouped?

Yes. With the Business plan, analyses can be aggregated by folder or account to review a set of documents together.

Which formats are accepted?

PDFs, scans and photos, in any language. The checks depend on the file format.

Free trial

Test Docusan on your own documents

Upload a PDF, scan or photo and get a verdict within seconds.