From Data Silos to Federated Intelligence: How FPT Can Help NHS Organisations Realise Value from the Federated Data Platform

For most NHS Trusts and Integrated Care Boards (ICBs), the gap between having access to FDP and actually generating value from it remains significant. The platform itself provides a powerful foundation, but without the right data engineering practices, governance structures, and operational alignment, its potential is difficult to realise. Bridging this gap requires not only deep technical expertise but also practical delivery experience in integrating complex, multi-system healthcare environments. 

A common misconception is to view FDP as a centralised data warehouse. In reality, it is designed as a federated system. Data does not move into a single national repository. Instead, it remains within local systems, electronic patient records, pathology systems, workforce platforms, while being made interoperable through standardised pipelines and shared data models. 

Palantir Foundry enables this model by providing the underlying infrastructure: scalable ingestion pipelines, semantic data modelling through its ontology layer, full lineage tracking, and fine-grained access control. From a Trust or ICB perspective, FDP should not be seen as a replacement for existing systems, but rather as an extension of the local data estate, one that connects fragmented datasets into a coherent, governed whole. 

This distinction is important because it shifts accountability from the national platform to individual organisations, which must take responsibility for preparing and standardising their own data environments. 

At the Trust level, integration is rarely straightforward. Clinical and operational systems have evolved over time, often from different vendors, each with its own data structure and standards. Patient administration systems, imaging platforms, laboratory systems, and workforce tools operate in silos, connected through legacy integration methods that were never designed for a federated architecture. 

As a result, data inconsistencies become the norm, with key identifiers and operational metrics often misaligned across systems. Patient identifiers may differ between systems, clinician records may not align, and operational data often lacks standardisation. Attempting to integrate these datasets into FDP without addressing these issues leads to delays and limited analytical value. 

At the ICB level, the challenge becomes more complex. Integration is no longer within a single organisation but across multiple Trusts and care providers, each at different stages of digital maturity. The inclusion of community care, mental health, and social care adds further variability. Delivering meaningful population health insights requires not just technical integration, but alignment on data definitions, governance agreements, and access policies across organisations. 

Without a structured and phased approach, FDP onboarding often turns into a prolonged effort focused on data harmonisation, delaying the ability to generate actionable insights and support decision-making. 

Successfully leveraging FDP requires more than connecting systems. It demands a level of engineering maturity that many organisations are still developing. 

The first foundation is robust data engineering. Reliable ingestion pipelines, whether API-driven or event-based, must replace fragmented batch processes. Data quality needs to be validated as part of the pipeline itself, not as a downstream correction step. Foundry’s orchestration capabilities are powerful, but they depend on clean, consistent upstream data. 

Equally important is the adoption of an ontology-driven approach to data modelling. Palantir Foundry’s strength lies in representing real-world stakeholders: patients, care pathways, workforce, as reusable, semantic objects. This allows data to be interpreted consistently across systems and organisations. However, achieving this requires Trusts and ICBs to map their local data structures to shared standards such as FHIR, SNOMED, and ICD. Organisations that rely on ad-hoc transformations may achieve short-term results, but they introduce technical debt that limits future scalability. 

Governance forms the third pillar. In a federated environment, trust in data is essential. This is not only about compliance, but about ensuring that clinicians and operational leaders can rely on the information presented to them. Role-based access controls, clear data lineage, and alignment with NHS governance frameworks are all necessary to build this trust. Without them, even the most advanced analytics capabilities struggle to gain adoption. 

FPT’s approach to FDP integration is grounded in hands-on experience delivering large-scale Palantir Foundry platforms, where integration complexity and cross-organisational data coordination are central challenges. 

This includes building scalable data ingestion pipelines, designing ontology-aligned data models, and developing data products that support real operational workflows. The emphasis is not on dashboards alone, but on enabling decisions, whether that is improving patient flow, optimising workforce allocation, or enhancing system-wide planning. 

A key differentiator is the combination of technical expertise and healthcare domain understanding. Translating clinical and operational requirements into effective data models requires more than platform knowledge. It requires an understanding of how healthcare services function in practice. This ensures that FDP outputs are not only technically correct, but also meaningful to the people using them. 

The diagram illustrates how a typical NHS organisation can operationalise the Federated Data Platform (FDP) using Palantir Foundry, moving from fragmented source systems to governed, reusable data products. Data originates from multiple operational systems such as PAS, theatres, and rostering, and is ingested through standardised connectors with privacy-enhancing controls applied at the point of entry. Once ingested, the data passes through structured processing stages, including cleansing (to standardise formats and resolve nulls), validation (to ensure data quality), and transformation/integration (to join datasets and create business-aligned master views). The processed data is then mapped into an ontology layer, where core healthcare stakeholders, such as patients, encounters, procedures, and staff, are represented in a consistent, semantic model aligned with NHS standards. This ontology serves as the foundation for downstream applications, enabling both analytics (e.g. dashboards, reporting) and operational workflows (e.g. decision support tools) to operate on trusted, reusable data. Within the context of FDP, this flow highlights that value is not created at ingestion alone, but through disciplined data engineering, strong governance, and ontology-driven design that ultimately supports real-time, high-trust healthcare operations. 

FPT’s experience with a large-scale aviation data platform provides a valuable perspective on implementing federated data platforms in complex environments. The platform, built on Palantir Foundry, integrates data from aircraft sensors, maintenance systems, supply chains, and multiple organisations across a highly distributed ecosystem. 

The parallels with the NHS FDP are striking. Both environments involve distributed data ownership, stringent governance requirements, and the need to generate insights across organisational boundaries. 

One of the most important lessons from this implementation is the value of starting with ontology. Organisations that invested early in defining consistent data models were able to scale faster and reuse data products more effectively. Another key insight is that governance is not just a technical requirement, but a prerequisite for collaboration. Data sharing only happens when participants trust how their data will be used. 

Perhaps the most practical lesson is the importance of incremental delivery. Attempting to integrate everything at once often leads to delays and complexity. By focusing on high-value use cases and expanding over time, organisations can generate early benefits while building momentum.