Data matching involves comparing computer records held by one organisation with those held by the same or another organisation to identify the extent of any matches. These records usually contain personal information. Computerised data matching assists in identifying potentially fraudulent claims and payments. Where a match is identified, it may point to an inconsistency that needs further investigation. No conclusion can be drawn about whether this is fraud, error or another explanation until an investigation has taken place.
We participate in the Cabinet Office’s National Fraud Initiative (NFI): a data matching exercise that supports the prevention and detection of fraud. Visit the National Fraud Initiative guidance.
We take privacy very seriously. Your data will always be handled securely and responsibly. Further details are available in the privacy notice guidance, which explains how your personal data will be used as part of the Cabinet Office’s NFI data matching exercise to support fraud prevention and detection.
The gov.uk privacy notice guidance sets out how we will use your personal data as part of the Cabinet Office’s National Fraud Initiative (NFI) data matching exercise to aid in the prevention and detection of fraud.
The processing of data by the Cabinet Office in a data matching exercise is carried out with statutory authority under its powers in Part 6 of the Local Audit and Accountability Act 2014. This processing is carried out under statutory powers and does not require the consent of individuals concerned under data protection legislation or the General Data Protection Regulation (GDPR).For further details on why specific information is matched, see: Code of Data Matching Practice for the National Fraud Initiative – GOV.UK (www.gov.uk)
Further information
For further information on data matching at the ICB please contact Matt Wilson, Local Counter Fraud Specialist, by emailing [email protected].
Further information on how the NFI has assisted the NHS and other public sector organisations, visit the National Fraud Initiative case studies