system architecture
From document retrieval to reusable knowledge
Source evidence, professional interpretation, review records, and knowledge versions connect document retrieval to the clinical workflow.
Reviewed
Retrieval connects sources and decisions
Document retrieval helps a statistical team locate relevant passages quickly. The clinical workflow then records the source version, evidence location, professional interpretation, reviewer, and approved knowledge version referenced by a Study.
Source material, evidence passages, professional interpretation, review records, and published versions form a continuous knowledge chain with clear responsibilities. Retrieval results move through interpretation and review before becoming knowledge that a workflow can reference.
The knowledge production path
The Clinical Knowledge Wiki organizes the path as source registration, document preparation, evidence location, knowledge-entry formation, author confirmation, independent review, evaluation, and version publication. Full-text, vector, and relation-based retrieval help locate and compare material, while professional roles finalize and publish the knowledge.
Each step retains source and version relationships so a knowledge entry can be traced to the original material. Differences, open questions, and applicability enter the review record; published knowledge carries its evidence, context, and version information.
How a workflow consumes knowledge
The Clinical Workflow references a reviewed knowledge version for the Study context, records the relevant rules, evidence, and version information, and includes those references in the stage input. The knowledge version becomes shared, traceable context for statistical decisions and program execution.
Information also moves back from the workflow. New questions, differences, and applicability feedback become evidence for the next knowledge update; the next reviewed version then supports later studies.
Why this changes statistical work
The knowledge system makes recurring interpretation reusable. Statistical teams can see the evidence behind a rule, its applicable scope, and its review status. Programmers can reference a stable knowledge version. Reviewers can examine what changed between versions.
AI-supported retrieval and synthesis improve access and comparison. The durable change is the governed flow that turns documents into traceable, reviewable, versioned knowledge and connects that knowledge to a specific workflow decision.