AI Nursing Knowledge Management Agent

How Cassidy automates this using AI

Step 1: Ingest and index nursing knowledge

Cassidy connects to your hospital policy portal, nursing manuals, clinical practice guidelines, and unit-specific procedures. Documents are chunked, tagged with metadata (service line, unit, effective dates, applicability groups), and mapped to standard nursing terminologies for precise retrieval.

Step 2: Trigger on clinical event

The Workflow activates when a nurse initiates an SBAR handoff, requests a policy lookup, or begins care plan documentation—launching directly within the EHR via SMART on FHIR integration.

Step 3: Retrieve patient context via FHIR

Cassidy pulls real-time patient data—vitals, labs, diagnoses, medications, allergies, and acuity scores—using HL7 FHIR R4/US Core profiles, normalizing units and time windows for the current shift.

Step 4: Generate outputs with RAG and citations

Using retrieval-augmented generation, Cassidy drafts SBAR handoffs, answers policy questions, or proposes care plan elements—each output includes inline citations to specific policy sections, FHIR resource IDs, and document versions.

Step 5: Human-in-the-Loop review and documentation

Nurses review, edit, and approve AI-generated content before it posts to handoff tools, progress notes, or the CarePlan. Feedback flags incorrect retrievals and continuously improves indexing quality.

Step 6: Maintain audit-ready provenance

Every output includes an evidence view with policy anchors, EHR data sources, timestamps, and version metadata—ensuring compliance, traceability, and trust across Nursing, Quality, and Compliance teams.