Fraud on medical certificates: analysis of 40,000 files

Medical certificates represent a vulnerable point in administrative processes. They are processed in large volumes, rarely checked systematically, and are therefore a potential target for fraud. This is precisely where a concrete application of document management combined with automated data analysis comes into play.

In a recent analysis, 40,000 medical certificates were examined across 42 individual parameters. Those parameters were defined in advance based on known fraud patterns: formatting anomalies, date inconsistencies, signatures that do not match registered data, reuse of document structures, and more. The analysis was carried out via MiraKnows.ai, the AI-powered document processing platform of the Youston Group.

The result was a level of insight that is not realistically achievable through manual review. With 40,000 documents and 42 checkpoints per document, this amounts to 1.68 million individual checks. A human team cannot process that volume accurately enough, or quickly enough, to intervene in time. The automated platform handles this in a structured, repeatable, and auditable way.

The integration between iGuana iDM and MiraKnows.ai makes this type of analysis possible within existing document workflows. Documents are captured, enriched with metadata, analysed for anomalies, and archived with a complete audit trail. Every step is traceable. Organisations in healthcare, government, or the insurance sector can use this to manage fraud risks proactively, without having to overhaul their existing processes entirely.

Would you like to know how this approach works for your document environment? Contact the iGuana iDM team for a concrete demonstration.