The enterprise friction point
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.
Transformation 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 strict HIPAA and NABH medical compliance and zero-hallucination protocols.
- Reduce clinical administrative inquiry tickets to nursing leadership by 75%.
Discovery & architectural audit
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.
The Fortiv AI architecture
- 01
Medical Document Ingestion: Secure parsing of 4,000+ PDFs, DOCX, and regulatory guidelines with chunking optimized for medical terminology.
- 02
Hybrid Semantic & Vector Indexing: RAG architecture pairing Dense Passage Retrieval with BM25 keyword matching for exact medical term precision.
- 03
Clinician Assistant Console: Mobile-responsive chat interface integrated into staff workstations delivering exact policy answers with clause citations.
- 04
Audit & Governance Loop: Automatic logging of all policy queries with weekly reviews of low-confidence searches to flag outdated documents.
Verified audit outcomes
Post-deployment impact
- 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
- 100% HIPAA Aligned
- Zero PHI storage with air-gapped on-premise model execution
Architectural lessons learned
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.
Future scale roadmap
Expanding PolicyIQ into clinical shift-handover summarization and automated nursing onboarding compliance tracking.
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