Privacy Policy

The purpose of this notice is to inform you about the type of information (including personal information) that NHS Nene and Corby Clinical Commissioning Group (CCGs) holds, how that information is used, who we share it with and how we keep it secure and confidential.

This website does not use cookies or collect identifiable information about your browsing activity.

The European Union Data Protection Regulation (GDPR) and the new UK Data Protection Act 2018 (DPA) have increased the rights that individuals have over their personal data.  These data laws require organisations such as NHS clinical commissioning groups (CCG), hospitals and GPs to give their staff and customers the:

  • Right to be informed on how their personal data is processed;
  • Right to access what information is held;
  • Right to rectification to correct inaccurate or complete information held;
  • Right to delete inappropriately held information;
  • Right to restrict processing of some personal data;
  • Right to data portability whereby certain data can be transferred tomanother organisation;
  • Right to object to have their information used for marketing or research purposes.

The Privacy Notices listed below clearly explain how each of the individual’s rights are supported by the NHS Nene CCG.

The National Fraud Initiative

NHS Nene Clinical Commissioning Group  is required by law to protect the public funds it administers.  It may share Information provided to it with other bodies responsible for auditing, or administering public funds, or where undertaking a public function, in order to prevent and detect fraud. 

The CCG participates in the Cabinet Office's National Fraud Initiative: a data matching exercise to assist in the prevention and detection of fraud – see guidance https://www.gov.uk/guidance/taking-part-in-national-fraud-initiative .  The Cabinet Office is responsible for carrying out data matching exercises subject to a Code of Practice https://www.gov.uk/government/publications/code-of-data-matching-practice-for-national-fraud-initiative .

Data matching involves comparing computer records held by one body against other computer records held by the same or another body to see how far they 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. 

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 the reasons why it matches particular information, see https://www.gov.uk/government/publications/fair-processing-national-fraud-initiative/fair-processing-level-3-full-text .

Complaints, Subject Access Requests and Freedom of Information Requests

Find out more about Complaints, Subject access requests and FOI

Direct Care, (routine care and referrals)

Find out more about Direct Care

HR, Staffing, Employment, Recruitment & Training

Find out more about HR, Staffing, Employment, Recruitment & Training

Incident Management

Find out more about Incident Management

Individual Funding Request

Find out more about Individual Funding Requests

Medicines Management

Find out more about Medicines Management

Patient Communications

Find out about Patient Communications

Patient Participation and Engagement Groups

Find out about Patient Participation and Engagement Groups

Invoice Validation

Find out more about Invoice Validation

Public Health

Find out more about Public Health

Quality Alerts

Find out more about Quality Alerts

Safeguarding

Find out more about Safeguarding

Risk Stratification 

Find out more about Risk Stratification