We treat Foundry not as a visualisation layer, but as the operating system of your Data Twin. Raw–Curated–Semantic Architecture:

• Raw Layer: Immutable ingestion zone preserving exact source data for auditability and clinical safety cases.
• Curated Layer: Standardised, type-enforced datasets where cleaning logic is separated from business logic. Incremental ingestion strategies and schema validation prevent drift and inefficiency.
• Semantic Layer: Optimised “Gold” datasets backing Ontology objects, enabling object-based reasoning and reducing repeated pipeline builds.

We implement a structured Core and Domain object model:

• Core Objects: Patient, Staff Member, Location, Clinical Event — centrally governed entities ensuring semantic consistency.
• Domain Objects:  Use-case specific objects linked to Core entities, enabling rapid innovation without duplication.

Standard national FDP environments are not designed for high-performance modelling. FDP+ deploys a dedicated Advance Analyst Environment (AAE) hosted on secure Microsoft Azure infrastructure.

• High-Performance Compute: Scalable HPC resources support winter pressure simulations, theatre utilisation modelling, genomics workloads, and advanced stratification algorithms.
• Bypassing “Fair Use” Limits: Heavy compute workloads are offloaded to Azure, preserving Foundry Compute Credits for semantic reasoning and interactive applications.
• Code-Based Analytics:  The AAE supports Python, R, and SQL within governed environments. Secure package whitelisting allows controlled use of open-source libraries.
• AI-Assisted Productivity: Natural language querying enables non-technical users to interrogate data in plain English. AI-driven automation supports cleansing, anomaly detection, and workflow optimisation.
• Auto-Scaling Infrastructure: Compute resources dynamically scale based on demand, supporting mission-critical analytics without degradation.

• Foundry as the Brain: Hosting Ontology, decision logic, and operational applications.
• Azure as the Muscle: Handling heavy compute workloads such as DICOM processing, genomics sequencing, and Monte Carlo simulations.
• Secure Bridge Mechanism: Raw data is securely passed to Azure for processing. Only high-value outputs are ingested back into Foundry.

• Single Sign-On: Integrated with Azure Active Directory and NHS Identity.
• Role-Based Views: Clinicians, analysts, executives, and managers see dynamic interfaces aligned with their role.
• Embedded Collaboration: Microsoft Teams and SharePoint integration enables real-time discussion and document co-authoring.
• Electronic Signatures: Digitised governance workflows reduce administrative bottlenecks and accelerate approvals.

• Automated De-Identification: Sensitive identifiers pass through configurable PET workflows before entering shared or research environments.
• Format Preserving Encryption & SHA-256 Hashing: Consistent pseudonymisation allows longitudinal analysis while protecting identity.
• “Leaky PID” Protection: NLP scanning identifies names, NHS numbers, and addresses in free-text fields. Records are automatically redacted or quarantined.
• Granular Access Controls: Markings and row-level policies ensure users only access data aligned with consent and purpose.
• Secure Re-Identification: Authorised clinical users may reverse encryption for direct care interventions under strict audit logging.

Technology delivers real impact only when your internal capability grows alongside it. FDP+ is designed to embed skills, transfer knowledge, and build long-term self-sufficiency within your Trust.

• Pod-Based Co-Development Model: We deploy dedicated multidisciplinary pods that work directly alongside your teams.
• Bespoke Training Programmes: From foundational data literacy sessions to advanced healthcare analytics workshops, we tailor training to different user groups, ensuring clinicians, analysts, and operational leaders can fully leverage FDP+.
• Innovation Sandbox: Controlled sandbox environments allow safe experimentation with AI models, digital twin simulations, and emerging technologies before live deployment, encouraging innovation while maintaining governance and safety.

A Data Twin is only as reliable as the data that powers it. FDP+ embeds robust data quality and lineage controls directly into the engineering framework to ensure accuracy, consistency, and trust.

• Data Quality Controls: We implement automated validation checks to maintain data integrity at every stage. These include referential integrity validation, statistical monitoring for unexpected data drift, strict null checks on critical clinical fields, and automated alerts for schema changes. If defined thresholds are breached, builds are automatically halted to prevent downstream disruption.
• Lineage & Impact Analysis: Before any code change is deployed, we assess downstream dependencies to understand how dashboards, applications, and reports may be affected. This prevents silent breakages and ensures operational tools remain stable and reliable.

As the national provider for FDP Solution Assurance, we bring an unmatched level of rigor to UHL’s local instance:

• Proactive Monitoring: 24/7 tracking of system health and data pipeline latency.
• SLA-Driven Governance: Rapid response times (P1 < 15 mins) for incidents affecting acute patient flow.
• Evergreen Updates: Continuous compliance monitoring against DSPT, DTAC, and Cyber Essentials Plus.