Case study · Healthcare
Autonomous SOP & Clinical Policy Knowledge Retrieval Engine
A regional healthcare network operating 4 hospitals, 18 outpatient clinics, and 3,200+ medical and administrative staff.
Engagement record
- Client
- Regional hospital network
- Industry
- Healthcare
- System
- Clinical Knowledge & Compliance Retrieval
- Timeline
- 7 Weeks
About this write-up
This case study describes the engagement as recorded. The client is not named; figures and outcomes are as reported by the client and have not been independently audited.
The challenge
Clinical nurses, pharmacy technicians, and attending physicians navigated over 4,000 disparate clinical policy documents, medication administration guidelines, and infection control SOPs stored across legacy intranet portals. Finding urgent protocol guidance during shift handovers took an average of 14 minutes, creating compliance stress.
Objectives
- Provide sub-3-second verified answers to complex clinical policy queries.
- Ensure 100% citation grounding with direct links to official hospital policy clauses.
- Enforce your medical data policies and zero-hallucination protocols.
- Reduce clinical administrative inquiry tickets to nursing leadership by 75%.
Discovery
Clinical workflow audits revealed that 68% of protocol lookup delays involved cross-departmental questions (e.g., pediatric IV titration vs pharmacy dispensing rules) that required searching multiple separate PDF policy manuals.
What was built
- Medical Document Ingestion. Secure parsing of 4,000+ PDFs, DOCX, and regulatory guidelines with chunking optimized for medical terminology.
- Hybrid Semantic & Vector Indexing. RAG architecture pairing Dense Passage Retrieval with BM25 keyword matching for exact medical term precision.
- Clinician Assistant Console. Mobile-responsive chat interface integrated into staff workstations delivering exact policy answers with clause citations.
- Audit & Governance Loop. Automatic logging of all policy queries with weekly reviews of low-confidence searches to flag outdated documents.
Outcomes as reported
Reported summary: 88% Faster SOP Lookup & 99.4% Citation Accuracy.
| Figure | What it refers to |
|---|---|
| 88% Faster Lookup | Policy search time compressed from 14 minutes to under 15 seconds |
| 99.4% Accuracy | Exact clause citation accuracy across 35,000+ clinical queries |
| 82% Ticket Drop | In routine policy clarification calls to nursing and compliance leadership |
| Privacy-aware | Zero PHI storage with air-gapped on-premise model execution |
Figures as reported in the engagement record; not independently audited.
Lessons
- Medical search requires strict hybrid retrieval to prevent semantic models from confusing look-alike drug or dosage names.
- Surfacing the original PDF page snippet directly in the UI creates immediate clinical trust.
Next steps
Expanding PolicyIQ into clinical shift-handover summarization and automated nursing onboarding compliance tracking.
Implementation questions
PolicyIQ operates on strict retrieval-augmented guardrails: if a query cannot be answered directly from verified hospital policy texts with high confidence, it explicitly states that and routes to the department head.
Yes. PolicyIQ processes no patient identifiers and operates within a dedicated, access-controlled boundary.
Whenever hospital compliance officers upload revised SOPs to SharePoint, PolicyIQ auto-indexes the changes and archives old versions within 5 minutes.
Yes. It features single-sign-on (SSO) integration across hospital desktop terminals, Epic/Cerner sidebars, and secure mobile staff tablets.
