Agile Health Informatics Ltd helps health and care organisations make difficult transformation decisions with greater clarity. The practice combines enterprise architecture, health data management, interoperability, secure data environments and AI-enabled analysis with more than three decades of hands-on experience.
The strongest value of Agile Health Informatics is at the joins between strategy, information, technology, governance and clinical delivery. Select a capability to see how the practice can support a programme and the experience that underpins it.
Architecture is used as a decision discipline, not a documentation exercise. Work can span capability models, target operating models, conceptual information models, dependency analysis, architecture assurance and repository-based modelling.
Data management is treated as part of the operating architecture of health services. Engagements cover enterprise data architecture, metadata, data standards, semantic interoperability, information governance and research data reuse.
Agile Health Informatics works across organisational, supplier and semantic boundaries. The focus is not simply message exchange, but whether data retains enough meaning and governance to support the intended clinical or operational use.
Security and governance experience is rooted in building and operating controlled research infrastructure, applying ISO 27001 and supporting security-sensitive health and public-sector programmes where assurance is part of the architecture.
Generative AI is used to accelerate source analysis, modelling, publication and assurance while preserving architectural judgement, traceability and professional governance. The objective is faster, more transparent analysis rather than automated decision-making.
Complex digital programmes often fail at the boundary between product implementation and organisational reality. Agile Health Informatics supports technical readiness, clinical pathway assessment, dependency analysis, risk identification and transformation planning.
Dr Tito Castillo brings a deliberately broad perspective to health informatics, built through scientific computing, regulated clinical software, research infrastructure, health data, interoperability, enterprise architecture and national-scale transformation.
Comfortable moving from board-level operating model and capability questions into information architecture, system integration, data standards and implementation risk. This reduces the gap between strategy documents and executable delivery.
Experience spans NHS care delivery, clinical research, medical physics, national research infrastructure, secure environments and regulated medical software, helping technical decisions remain grounded in how health services and evidence production actually work.
Metadata, semantic interoperability, conceptual modelling and data governance recur throughout the career history. This supports programmes that need to improve the foundations beneath analytics, interoperability and digital transformation.
Architecture working groups, ISO 27001 environments, national health programmes, shared records and EPR readiness work provide practical evidence of operating in environments where governance, safety, security and delivery pressure coexist.
Filter the examples below to explore the range of environments in which Dr Tito Castillo has delivered architecture, data and informatics work. Open any item for more detail.
Current engagement. Supporting the development of enterprise data architecture, data standards, metadata management and semantic interoperability approaches across the Health Service Executive in Ireland.
Current engagement. Supporting EPR technical readiness through architecture analysis, clinical pathway assessment, dependency analysis, implementation risk and transformation planning.
Led architecture assurance for a large-scale secure healthcare transformation in a security-sensitive public-sector environment. Established and chaired the architecture working group, developed business capability and conceptual information models, contributed to target operating model development, and led work on data strategy and semantic interoperability.
Directed architecture for a multi-organisation integrated care record, aligning system interoperability with NHS strategy and delivering semantic mapping across Epic, SystmOne, EMIS and local authority systems.
Designed and operationalised an early ISO 27001-certified secure research computing environment, providing controlled access to sensitive epidemiological data and anticipating many of the principles now associated with Trusted Research Environments.
Held senior informatics leadership roles including IT Director for the NIHR BioResource and CIO for Life Study at UCL Institute of Child Health, covering federated research data strategy, information governance and national cohort data architecture.
Created a standards-compliant data pipeline enabling validated MAGE-ML experiment submission to the EBI ArrayExpress repository, supporting scientific transparency and reproducibility.
Developed and commercialised software to analyse small bowel motility using electrical impedance data, taking doctoral research into a regulated clinical product that obtained FDA 510(k) approval.
Lead front-end developer for PARR++ (Patients At Risk of Rehospitalisation), a predictive analytics tool developed with the King's Fund and distributed nationally to English Primary Care Trusts.
The practice is built around evidence, traceability and pragmatic delivery. Architecture methods are used to clarify decisions and reduce risk, not to impose process for its own sake.
Establish the decision context, stakeholders, constraints, existing evidence and the operational consequences of getting the answer wrong.
Use capability, process, information and dependency models to expose relationships that are often hidden inside programmes and supplier artefacts.
Examine whether strategy, data, technology, governance, clinical workflow and delivery plans actually align, and make uncertainty explicit.
Produce traceable models, catalogues, specifications, decision records and implementation guidance that can continue to support delivery after the engagement.
Qualifications do not replace delivery evidence, but they provide a useful assurance that the breadth of the practice is anchored in established professional frameworks.
Formal architecture disciplines support capability modelling, operating models, solution assurance and structured transformation planning.
Professional standing spans data management, health informatics leadership and chartered IT practice.
Security and programme credentials complement practical experience in sensitive health, research and public-sector environments.
Agile Health Informatics treats publication as part of architecture practice: a way to make complex ideas inspectable, reusable and open to challenge.
A practical argument for treating data management as foundational infrastructure for healthcare transformation rather than a secondary technical concern.
Explores structured reasoning and judgement in environments where AI can accelerate analysis but cannot replace accountable decision-making.
Applied guidance on automating and extending enterprise architecture repositories, reflecting a hands-on approach to architecture tooling and model governance.
Agile Health Informatics Ltd is suited to complex healthcare work where the problem spans strategy, data, standards, governance, technology and delivery. Engagements can range from focused independent review to embedded architecture and data leadership. For new enquiries, please contact Dr Tito Castillo through LinkedIn.