Posts in category: Architecture

AI agents are often presented as autonomous assistants, but real-world healthcare workflows rarely fit neatly into a single agent model. This article explores why effective AI solutions depend on collaboration between specialised agents, orchestration services and governed workflows, and what this means for the design of healthcare applications.
There is no shortage of discussion about the opportunities that AI may create within health and social care. Modern language models appear increasingly capable of interpreting narrative, answering questions and identifying relationships across both structured and unstructured information. In a domain where information is often recorded and understood as a mixture of records, observations and stories, it is tempting to conclude that the way data is represented no longer matters. In other words, perhaps structured data is dead.
Recent work testing federated data sharing in an adult social care context has demonstrated how established NHS interoperability principles can be extended beyond traditional healthcare settings. Using a derivative of an existing NHS-owned platform and working collaboratively with digital social care record suppliers, this approach has shown how data can be discovered, accessed, and combined across organisational boundaries in practice. While joining up data across health and care remains challenging due to fragmentation and differing ownership, data federation offers a scalable alternative to centralised repositories and point‑to‑point integrations, enabling data to remain with providers while being accessed through a unified interface as if it were a single dataset.