Data Fabric
The foundation of the platform. Ingest, normalize, and govern data from multiple sources into a single, queryable layer with built-in master data management and entity resolution.Data Model
Understand profiles, relationships, partitions, and the building blocks of the Health Data Fabric.
Master Data Management
Unify records across sources, resolve entity duplicates, and maintain a governed golden record.
Ingestion Pipeline
Configure processors, run historical imports, and manage the flow of data into the platform.
Search Fundamentals
Understand the retrieval stack, ranking controls, and when to use semantic or hybrid search.
AI Engine
The intelligence layer. Configure agents, set templates and produce patient summaries.Agents
Orchestrate multi-step clinical workflows with agents that call tools and manage context.
Patient Memory
The context engineering layer. Persist patient and clinical data across sessions so every agent interaction is grounded in the right history.Agentic Memory
See how agents structure memory to retain clinical context, user preferences, and conversation history.