There is no integrated care without cross-sector data sharing

Why data sharing matters in integrated care systems

The success of integrated care systems (ICS) relies on robust, strategic data sharing across multiple care settings. Effective data partnerships enable more coordinated and continuous care, empower population health management and self-care, tackle health and access inequalities, and drive informed resource allocation.

In today’s diverse, fragmented healthcare system, patients often navigate multiple providers across sectors. However, their data does not always follow, and this is disempowering as much as it is frustrating. Many ICSs still lag in adopting comprehensive data sharing practices and infrastructures, posing a significant barrier to achieving greater system efficiency, transparency, and supporting patients effectively.

Current limitations in data sharing practices

When data sharing does occur, it often flows in one direction. For example, NHS commissioners frequently rely on activity and service-user data provided by Voluntary, Community, and Social Enterprise (VCSE) organisations or primary care network (PCN) systems data to evaluate the impact of funding. This narrow focus excludes data on service users’ interactions with other health and care services, creating blind spots in patient outcomes and hidden needs, while undervaluing how these services reduce pressure on the broader system.

Comprehensive data sharing partnerships could transform this dynamic, enabling full tracking of patient pathways and better identifying access inequities across services and sectors. This shift would not only improve service delivery and resource allocation but also foster shared purpose and cross-sector accountability, while promoting consistent data collection and truly evidence-based evaluation practices.

Overcoming barriers to consistent and effective data sharing

Achieving this vision requires overcoming several cultural, technological, operational, and legal challenges. Patient data remains fragmented across multiple management systems, complicating access, aggregation, and sharing. While some advocate for a unified data capture system, the diversity of digital maturity across delivery partners makes this impractical. Instead, ICSs should prioritise system interoperability and shared care platforms, the latter being widely considered the cornerstone of integrated data sharing. When anonymised and aggregated, these shared databases become invaluable resources for population health management by enabling healthcare leaders to identify and anticipate care gaps across geographies and demographics.

All technical advancements, including the integration of artificial intelligence (AI), must be accompanied by centralised guidance on data collection, coding standards, and sharing agreements. Currently, many providers hesitate to share patient data due to confidentiality concerns and unclear information governance, GDPR or AI guidelines, which often vary across contracts and care settings. Clear protocols and governance structures are essential to balance privacy requirements with healthcare planning needs, ensuring both patient confidentiality and system efficiency. A cohesive system with transparent data processes would not only build public trust in data use but also reduce the frustration and fatigue patients often experience when navigating multiple disconnected care providers. Such structures must be clearly communicated to patients as the primary owners of their data.

Relationships, capacity, and power diffusion

Despite government mandates, limited progress in ICS investment in data infrastructure reveals the persistent barriers posed by entrenched organisational cultures and practices. As the King’s Fund observed in a 2022 report, “Good technology is not enough for interoperability to succeed; relationships between staff and organisations are vital for success.” Persistent power imbalances within ICSs can undermine enthusiasm for data sharing partnerships, especially when the benefits of integration appear unclear or unevenly distributed.

To foster trust and collaboration, health, social care, and voluntary sector leaders must work as equal partners in planning and delivering services. By setting, understanding, and contributing to shared priorities and agendas, all sectors would be mutually recognised as key contributors to progress. This approach would also increase buy-in for data collection at the local level, ensuring that digital infrastructures are viewed as enablers of collaboration rather than isolated technologies.

Many health and care providers currently lack the capacity or funding to dedicate staff time to data collection. Short-term contracts further limit incentives to build data sharing capabilities or use data beyond immediate funding requirements. Longer-term contracts would support consistent delivery, sustainability, and capacity building across sectors, while substantially reducing data fragmentation. Building a sustainable ecosystem requires trust and ongoing investment through collaborative, long-term partnerships, rather than transactional, repeated contracting cycles.

The NHS must lead this transformation by embedding information technology, governance, AI, and analytics at the heart of system implementation while supporting partners with varying levels of digital maturity. This includes equipping the workforce with the technical skills required to effectively collect and utilise data. Recognising the current strain on workforce capacity, the NHS must leverage resources and time for upskilling (including from its own suppliers), and ensure the transition is backed by ongoing investments in accessible analytics.

Conclusion

As patient pathways become increasingly dispersed across care settings, robust and proportionate data sharing infrastructure grows more essential for tackling health inequities, streamlining cross-sector resource allocation, and empowering the system to better empower patients. A sustained commitment to technological and cultural innovation, coupled with workforce upskilling will reshape how providers collaborate and deliver care, enhancing population health outcomes and building a more responsive, equitable healthcare system.