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Glossary

The words behind the context layer

Short definitions, written to stand alone. Each links to where the idea is explained in full.

C

Clinical context layer
A persistent, continuously maintained model of how a patient's facts relate to one another, from which applications draw the context they need. It proposes; a clinician decides. The definition →
Concerns and constraints
The objectives, thresholds, policies and judgments that clinicians and other responsible people author. In a context layer they sit inside the model and shape what counts as significant. The whitepaper →
Context graph
A single queryable model of the entities in a patient's care and the relationships between them, rather than a set of disconnected reports. What it is →
Context layer
A persistent, semantically integrated information substrate that maintains the evolving relationships needed to build meaningful context windows. It exists independently of any one inference. The whitepaper →
Context window
The information made available to an AI model for one reasoning task. It is assembled for a single inference and is temporary. Context window vs context layer →
Continuous observation
Monitoring that does not stop between visits, for example through home devices or remote monitoring. It produces a steady stream of signals instead of isolated episodes of data. Why now →

D

Domain ontology
A representation of the main entities, relationships and distinctions through which a domain is understood. It gives a context layer its semantic foundation. The whitepaper →

E

Event-driven contextualization
Updating the context model each time a new event or observation arrives, interpreting it against what is already known. The whitepaper →

L

Living context model
The evolving representation inside a context layer. It is updated as new signals arrive, so each cycle builds on what earlier cycles established. How it works →

P

Proposes; a clinician decides
The rule that the system may surface and propose, but never asserts a clinical fact on its own and never automates a clinical action. The clinician decides. How it works →

R

Retrieval-augmented generation (RAG)
A technique that retrieves information fragments similar to a query and gives them to an AI model. It finds similar information, but does not itself establish how the fragments relate. Context layer vs RAG →

S

Subclinical signal
An observation too small or too tentative to count as a finding on its own, such as a slow drift in a measurement. Alone it may mean little; together with others it may matter. Article: when the danger sits below every threshold →
System of information
A system that holds the settled record, subclinical signals and the connections between them, and keeps uncertainty and nuance instead of resolving it away. What it is →
System of observation
A system that answers one specific question and then goes quiet, such as imaging, labs, diagnostics or monitoring. What it is →
System of record
A system built to keep a structured, auditable record of what happened, such as the electronic health record. It preserves what was decided, not how the facts relate. Systems of record and context →

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