Posts in tags: ai
More Than Just a Chat Bot
AI in healthcare is no longer just about chatbots. In this six-part series, we explore how AI, interoperability standards and healthcare applications can work together to create experiences that are trustworthy, accountable and built around the realities of clinical systems.Agents Are Users Too
AI in healthcare is no longer just about chatbots. In this six-part series, we explore how AI, interoperability standards and healthcare applications can work together to create experiences that are trustworthy, accountable and built around the realities of clinical systems.Citations Are Not Decoration
AI may help users find information more quickly, but it should not ask them to trust information blindly. This article explores how citations help connect AI-generated answers back to the patient record, enabling users to understand where information came from and verify it for themselves. As AI becomes increasingly integrated into healthcare applications, the ability to move seamlessly between generated answers and supporting evidence becomes ever more important. Citations are not simply a feature of the interface; they are an essential part of building trust in the information presented.The FHIR Knowledge Base
Healthcare organisations hold vast amounts of structured clinical information, but that does not necessarily mean it is easy to find, navigate or understand. As AI capabilities mature, there is growing interest in making healthcare records more accessible through natural language search and retrieval. This article explores the concept of a FHIR knowledge base: a semantic layer built upon healthcare interoperability standards that helps bridge the gap between structured clinical data and the questions people actually ask. It examines how AI and healthcare standards might complement one another, enabling richer search experiences while retaining the underlying record as the source of truth. Along the way, it considers some of the architectural, governance and user experience questions that emerge when healthcare data becomes searchable in new ways.Chunking Is The New Data Modelling
Traditional data modelling organises information into predefined structures. AI retrieval changes that assumption. This article explores why techniques such as chunking, embeddings and vector search are becoming equally important design considerations, and how healthcare organisations can combine them with standards like FHIR to create more effective AI-powered experiences.Announcements
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