5500 Hours Saved per Site: Automating Medical Device Tray Verification With Vision AI

AI-powered medical device tray verification improved inventory management and reduced manual errors, saving significant operational time.

5500

hours saved per site annually due to automation

Improved

accuracy in medical device verification

Reduced

operational costs through streamlined and automated processes

IndustryHealthcare & Life Sciences
Company typeEnterprise
CountryUnited States
Services usedAI/Data
 AI-Powered Tray Verification

About the client

A multinational healthcare conglomerate specializing in pharmaceuticals, medical devices, and consumer healthcare products, with a strong focus on research and development to drive medical innovation.

The problem

Manual verification and validation of medical device trays were time-consuming, prone to errors, and lacked centralized management, leading to increased costs and delays.

The solution

The client, with Turing's support, implemented a comprehensive AI-powered medical device tray verification solution:

  • Image recognition model: Turing developed a custom image-recognition model that analyzed high-resolution images of medical device trays. This model could identify the correct placement of surgical devices and detect any inconsistencies or defects.
  • Inventory management integration: The model was integrated into the client’s on-site inventory management system, enabling real-time verification and validation of medical device trays across multiple sites. This ensured better tracking and management of inventory.

The result

  • 5500 hours saved per site annually: The automated verification process led to significant time savings in inventory management.
  • Improved accuracy and efficiency: The AI model reduced errors in device verification.
  • Reduced operational costs: Streamlined and automated processes led to cost savings.

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