Timely intelligence and data-led insight enable a more proactive, risk-based approach to counter fraud. When combined with analytics, intelligence helps improve understanding of fraud vulnerabilities, informs prioritisation and strengthens prevention, detection and response across the system.
In 2026–27, our focus will be on strengthening the foundations for a more consistent and effective use of digital systems and processes, intelligence and the implementation of advanced counter fraud data analytics, improving timeliness, access to data and the practical application of insight to decision-making and counter fraud interventions.
To deliver this, we will:
- expand access to, and effective use of, national and local datasets to improve fraud risk insight, allowing targeted counter fraud response and interventions
- escalate barriers to data sharing with system partners and the DHSC to ensure swift and timely data access
- continue to work with and develop relationships with data and subject matter experts to drive data analytics activity
- prioritise areas through strategic tasking using intelligence and analytics activity and fraud risk vulnerabilities identified through the SIA and Enterprise Fraud Risk Assessment (EFRA)
- conduct fraud loss measurement activity in agreed high-risk areas to strengthen understanding of scale, impact and return on investment
- strengthen the use of digital tools, intelligence and advanced data analytics to facilitate a more proactive, risk-based approach to fraud prevention, detection and response across the health sector and identify efficiencies
- design and pilot automated integrated intelligence processes to improve the timeliness, consistency and impact of intelligence products
By March 2027, this work will have resulted in:
- improved access to selected national and local datasets, strengthening insight into fraud vulnerabilities and emerging threats
- digital tools, intelligence and analytics informing counter fraud priorities, operational tasking and prevention activity at a national and system level aligned to agreed priority fraud risks
- priority fraud risks being clearly identified, more timely integrated intelligence products developed, enabling earlier and more targeted intervention
- piloting automated or semi-automated intelligence processes, assessing their impact on the timeliness and quality of intelligence outputs and reducing reliance on manual activity to improve efficiency and consistency
- fraud loss measurement activity providing improved evidence on the scale and drivers of fraud risk in priority areas, underpinning better and informed decision-making