Inside FDP – Part 3: The Data Architecture that Makes It Work

Why It Matters

FDP’s unified ontology turns the NHS data estate into an operational workspace, accelerating care decisions and reducing reliance on costly custom integrations.

Key Takeaways

• Foundry ontology merges data, description, apps, actions into one layer
• Object types store live links, enabling clinician and analyst queries
• Built‑in actions update records and propagate changes across linked objects
• Logic layer embeds rules, models, and AI, unlocking decision support
• AI‑FDE and AIP let clinicians build apps, scaling Frontline‑First

Pulse Analysis

Palantir’s Foundry platform redefines how health systems manage data by erasing the boundaries between storage, metadata, and user interfaces. In traditional NHS environments, patient records reside in electronic health record (EHR) systems while analytics live in separate warehouses, requiring nightly extracts and manual reconciliations. The ontology‑driven approach stores each clinical entity—patients, referrals, theatre sessions—as an object type that carries both its data and its semantic definition. This co‑location means clinicians can navigate from a single record to related objects in real time, while analysts can run population‑wide queries on the same live dataset, eliminating stale copies and duplicate pipelines.

A pivotal innovation is the platform’s native action framework. Actions such as "cancel theatre session" or "confirm discharge transport" are defined within the ontology, complete with validation rules, access controls, and audit trails. When an action executes, every linked object updates instantly, delivering a single source of truth across dashboards, waiting‑list managers, and operational leaders. This eliminates the hours‑long lag typical of batch‑driven integrations and supports both frontline workflow and high‑level reporting without separate data stores. The logic layer further enriches the experience by embedding business rules, forecasting models, and optimisation algorithms directly alongside the data, paving the way for AI‑augmented decision making.

The addition of the Artificial Intelligence Platform (AIP) and AI‑Forward‑Deployed Engineer (AI‑FDE) tools extends the platform’s reach beyond engineers. Large language models are grounded in the ontology, allowing natural‑language queries that traverse linked objects without writing SQL. Simultaneously, AI‑FDE can translate a clinician’s description of a workflow into a functional application, dramatically lowering development time and scaling the Frontline‑First vision across the NHS. For organizations accustomed to building bespoke Azure or cloud stacks, Foundry’s unified stack offers a faster, more secure path to operational analytics and AI‑driven care coordination.