Numbers game

How better data sharing could save lives in the UK

Health inequality in the UK is not a new issue, but it is becoming increasingly urgent.

Across the country, where you live, work and grow up still plays a decisive role in how long and how well you live.

In the most deprived areas, people develop long-term conditions nearly a decade earlier and face significantly shorter life expectancies than those in more affluent communities. These disparities are not only unjust, but they also place sustained pressure on public services and the wider economy.

The drivers behind these inequalities are well understood. Housing conditions, employment status, environmental exposure and access to care all play a role. Yet despite this awareness, progress has been limited. The challenge is not a lack of data, but a lack of connection between it.

Significant progress has been made in digitising healthcare. The widespread adoption of electronic patient records marks an important milestone in modernising the NHS. However, digitisation alone does not deliver transformation.

Data remains fragmented. Clinical information is held within NHS systems, while equally important insights into housing, employment and environmental conditions sit across government departments and local authorities. These data sets rarely connect in a meaningful way.

This fragmentation limits the ability to understand the full picture. Without a joined-up view, healthcare systems are often left responding to illness rather than anticipating and preventing it.

A more integrated approach would enable what is often described as a ‘total patient view’. By combining clinical data with social and environmental factors, it becomes possible to better understand risk, predict outcomes and intervene earlier. This represents a shift from isolated care delivery to truly integrated population health management.

The introduction of the NHS Federated Data Platform marks a critical step forward. By enabling NHS organisations to share operational data, it is already improving areas such as waiting list management, workforce planning and service coordination.

Its long-term potential goes much further. If aligned with wider government data initiatives, the platform could act as the backbone for cross-government collaboration. Bringing together data sets on housing, air quality, employment and access to services would unlock new ways of tackling health inequality.
This is about more than efficiency. It is about changing how the system works.
 
Instead of reacting to illness, the NHS and its partners could anticipate need and prevent issues before they escalate.

During the COVID-19 pandemic, the Zoe Health Study demonstrated the power of combining patient-generated data with clinical data sets.

With over 4.5 million contributors, it became the world’s largest real-time study of COVID-19, enabling faster identification of symptoms, hotspots and risk factors, and directly informing public health responses.

At a local level, data sharing has also delivered practical improvements. In Sheffield, collaboration between the NHS and local authorities revealed a pattern of increased emergency admissions linked to gaps in weekend care. Targeted interventions reduced unnecessary hospital visits and improved outcomes for vulnerable groups.

These examples highlight how connecting data enables more informed decisions and more effective services.

One of the most powerful advantages of cross-government data sharing is its ability to enable prevention.

Today, much of healthcare is reactive. Patients are treated once conditions develop or worsen. But many of these conditions are influenced by factors that exist long before a clinical diagnosis.

Better data integration can change this. Linking housing data with health records could help identify individuals living in conditions that increase the risk of respiratory illness.

Combining employment and health data could highlight communities vulnerable to mental health challenges. Environmental data could inform targeted interventions in areas affected by poor air quality.

There is also growing potential in citizen-generated data. Mobile apps and wearable devices are capturing real-time insights into behaviour and well-being. When used responsibly and with consent, this data can provide a better understanding of population health trends.

Together, these capabilities point to a future where healthcare is proactive, personalised and preventative.