Problem Statement

For any given Orthopedic surgery case, medical device manufacturers provide surgical trays containing hundreds of instruments. MedTech companies offer different configurations of trays for multiple products & procedures, and each tray can cost thousands of dollars.  The trays undergo quality inspections at multiple points in the distribution process, for example: 1) at the distribution center prior to shipment, 2) at the hospital upon receipt, 3) at the hospital post-surgery, 4) upon return to the distribution center.  Given the process is typically manual, quality inspection of surgical kits involves time, resources, reduces utilization of kits, and can have a significant impact on patient safety.

Proposed Solution / Value Proposition

Leverage Visual Inspection AI to quickly scan for correct components within Orthopedic surgical trays–reducing manual processes while maintaining 99%+ accuracy, reducing supply chain constraints, persevering capital, and increasing revenue potential and customer satisfaction. 

Results

• Visual Inspection reduced manual kit processing time by 50%

• Maintained 99%+ accuracy while preserving capital

• Increased inventory turns for surgical kits from 1.7x to ~4x per month

• Reduced training time for new kit processors

• Provided better processing metrics for managing staff