Added lines or edited quantities
A medicine, a device or an extra session is added to a genuine prescription, or quantities are increased.
Document fraud detection
Detect a fake medical prescription
Fake prescriptions are used to obtain undue refunds or prescription-only medicines. Health insurers and healthcare organizations receive them every day as photos and scans. Docusan analyzes these documents and flags signs of forgery.
Typical frauds
The most common forgeries
Fabricated prescription
A prescription is created from scratch from a template, with a real or invented prescriber.
Reused prescription
The date of an old prescription is changed to submit it again.
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 a handwritten prescription be analyzed?
Yes. Docusan analyzes printed and handwritten prescriptions alike, whether they are received as photos, scans or PDFs.
Can Docusan be integrated into the refund workflow?
Yes. With the API, every prescription received can be analyzed automatically and its risk level reported in real time to your management software.
Does Docusan decide on the refund?
No. Docusan flags anomalies and assigns a verdict; your claims handlers review the details in the viewer and decide what to do next.
See also
Related documents
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