McBee + Daisy AI — 2-Page Proposal
Date: February 4, 2026
Summary
Partner with McBee Associates to reduce manual utilization review time by generating structured medical chart summaries, extracting UM-relevant flags, and providing usage analytics. Integrate with McBee client data sources (EMR, secure file share, PDF packets), align summary templates with McBee nursing workflows. Production-ready, HIPAA-aligned, scalable across McBee's nursing staff.
Objectives
- Reduce nurse time spent conducting medical reviews
- Surface UM-specific flags (e.g., start of service timing, critical diagnoses)
- Provide structured summaries mapping to McBee's review template for copy/paste into criteria workflows
- Enable low-friction data ingestion from select hospital systems or current McBee intake channels
- Provide analytics on usage, throughput, and cost
Scope of Work
In Scope:
- Clinical chart summaries from PDFs and clinical artifacts
- Data ingestion from McBee-hosted systems, PDF packets, secure file share, or HL7 feeds (ADT, ORU, CCDA)
- Template alignment to McBee's existing summary templates and QA expectations
- Analytics dashboard (volume, processing time, usage cost)
- Integration, training, support, and iterative tuning
Out of Scope:
- Formal integration of proprietary criteria engines (MCG/InterQual)
- Automated clinical determinations without human review
Deliverables
- Discovery Summary: Workflow map, data sources, feature requests
- UM Flag Specification: Written list of UM flags + extraction logic
- Technical Brief: Agent architecture, skill orchestration, technical logic
- Summary Template Implementation: Output matched to McBee's template
- Integration: Live data ingestion from approved sources
- Dashboard: Usage + throughput analytics
- Training: 1–2 sessions for reviewers and administrators
Timeline
- Phase 0 (Weeks 0–4): Contracting & Security — exchange security materials, finalize SOW, confirm data access
- Phase 1 (Weeks 4–8): Discovery & Technical Setup — nurse interviews, UM flag definitions, template mapping, test data
- Phase 2 (Weeks 8–12): Integration & Launch — data ingestion live, initial reviews, QA feedback loop
- Phase 3 (Weeks 12+): Evaluation & Scale — KPI review, roadmap for scale
Success Criteria
- Time Savings: >50% reduction in summary prep time (20min → 10min)
- Template Fit: Usable with <2 min edits (nurse feedback survey)
- UM Flag Accuracy: >85% reviewer agreement (spot check sample)
- Nurse Satisfaction: >8/10 rating post-training
- Security: Pass security review and architecture walkthrough
Commercial Terms
- Implementation Fee: $40,000
- Total Annual Contract Value: $150,000–$200,000