Data matching involves comparing computer records held by one body against other computer records held by the same or another body to determine the extent of the match.
This is usually personal information. Computerised data matching allows potentially fraudulent claims and payments to be identified. Where a match is found it may indicate that there is an inconsistency which requires further investigation. No assumption can be made as to whether there is fraud, error or other explanation until an investigation is carried out.
We participate in the Cabinet Office’s National Fraud Initiative: a data matching exercise to assist in the prevention and detection of fraud.
Visit the National Fraud Initiative guidance
We want you to know that we take privacy very seriously. Please be assured that we will always manage your data securely and responsibly.
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. It does not require the consent of the individuals concerned under data protection legislation or the General Data Protection Regulation (GDPR).
For further information on how we will use your personal data, and your rights, visit the NFI privacy notice at gov.uk. For further information on the reasons why it matches particular information, visit the Code of Data Matching Practice for the NFI at gov.uk.
Further information
For further information on data matching at NHS South West London Integrated Care Board, please contact your local counter fraud specialists. Kitty Gibb, by emailing [email protected] or Kasia Gruszka, by emailing [email protected].
For further information on how the NFI has assisted the NHS and other public sector organisations, visit the National Fraud Initiative case studies.