UC22: Supply Chain & Surgical Kit Inventory

The Problem

Surgical kits and supplies are tracked manually via paper logs or spreadsheets. Stockouts of critical instruments delay surgeries, leading to cancellations and rescheduled cases. Over-ordering ties up capital in inventory; under-ordering risks delays. Par level management is inconsistent across departments, and expiration date tracking is often missed until kits are pulled for a procedure.

What the Agent Does

Monitors surgical schedule in real-time (Epic, Cerner) to predict kit usage 1 to 3 days in advance
Compares upcoming kit demand against current inventory levels (par levels by kit type, department, season)
Automatically generates purchase orders at par level thresholds, sending to vendor (GHX, direct EDI, or email)
Tracks expiration dates for sterile kits (typically 2 to 3 years); flags kits nearing expiration for rotation or disposal
Monitors vendor delivery times and reschedules surgeries only if stockout is unavoidable (escalation workflow)
Generates inventory reports: usage trends, cost per case, obsolescence, vendor performance

Data Requirements

Data Sources:

Surgical Scheduling System (Epic, Meditech) , Upcoming procedures, case type, estimated duration, special kit requirements
Inventory Management System (Infor/Lawson, SAP) , Current stock levels, par level thresholds, cost per kit
Vendor Catalogs (GHX, direct EDI) , Kit descriptions, SKUs, pricing, lead times, minimum order quantities
Historical Usage Data , Kit utilisation patterns by procedure type, season, surgeon
Expiration Date Database , Sterilisation dates, sterile shelf-life limits, expiration tracking

Data Classification:

Surgical schedule: Sensitive, Internal, Structured
Inventory data: Internal, Structured
Vendor catalogs: External, Structured
Usage history: Internal, Structured
Expiration dates: Internal, Structured

Data Quality Requirements:

Surgical schedule: updated in real-time as cases are added/changed
Inventory levels: cycle counted weekly; system accuracy >95%
Vendor catalogs: updated quarterly or when pricing/availability changes
Usage history: 12 months minimum for demand forecasting
Expiration dates: tracked within 30 days of sterilisation; revalidated before every use

Integration Complexity: Medium

Surgical scheduling system API (Epic, Cerner, Meditech)
Inventory management system API (Infor/Lawson, SAP)
Vendor EDI integration (GHX or direct EDI for purchase orders)
Barcode/RFID scanning for inventory cycle counting (optional but improves accuracy)

Score Breakdown

Criterion	Weight	Score (1-5)	Weighted
Time Recaptured	15%	4	0.60
Error Reduction	10%	4	0.40
Cost Avoidance	10%	3	0.30
Strategic Leverage	5%	4	0.20
Data Availability	15%	4	0.60
Process Clarity	15%	3	0.45
Ease of Implementation	10%	3	0.30
Fallback Available	10%	4	0.40
Audience (Int/Ext)	10%	4	0.40
Composite	100%		3.70

Why It Scores Well

Surgical kit management is a direct operational lever: preventing delays improves OR utilisation (recovery of 5 to 10 blocked hours/week = $50K to $500K annually). The data is structured and readily available; integration with vendors is mature via GHX. Inventory optimisation reduces tied-up capital while preventing stockouts.

Regulatory Alignment

Joint Commission: OR management standards require inventory control and safety checks
FDA: Sterile kit reprocessing must follow validated protocols; expiration tracking is mandatory
OSHA: Hazardous chemical inventory (sterilising agents) must be tracked and disposed of per regulations
ISO 11135: Sterilisation standards define shelf-life limits for sterile kits

Sprint Factory Fit

Sprint 0 (2 weeks) + 3 build sprints (6 weeks)

Surgical kit management is event-driven: each new case addition triggers a re-check of kit availability. The initial 2-week sprint focuses on surgical schedule API integration and par level logic; subsequent sprints add vendor EDI, expiration tracking, and outcomes reporting. This is a medium-complexity use case suitable for operations teams.

Comparable Implementations

Deploy This Use Case with the Sprint Factory

From zero to a governed, production agent in 6 weeks.

Sprint Factory Schedule a Briefing

Related Use Cases

Real-Time Clinical Operations

Bed Management "Traffic Controller"

Score: 4.15/5.0

Real-Time Clinical Operations

Intelligent Patient Triage (Urgent Care/ED)

Score: 3.6/5.0

Real-Time Clinical Operations

After-Hours Triage (Urgent Care)

Score: 3.55/5.0

Governance Risks to Consider

Before deploying this use case, review these agentic AI risks from the Corvair Risk Catalogue. Each is scored on the DAMAGE framework and mapped to regulatory expectations.