Scalpel provides a computer vision platform that automates the validation of surgical trays, instruments, and implants, significantly reducing human error in surgical logistics. By enhancing accuracy and efficiency in the surgical supply chain, Scalpel minimizes costs and improves patient safety in clinics and hospitals.
Funding
$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MVFounders
Product
Problem
Surgical instrument trays are often packed manually, leading to errors such as missing, incorrect, or malfunctioning instruments. These errors can result in surgical delays, increased costs, and potential risks to patient safety. Current manual processes also struggle to keep pace with the increasing complexity and volume of surgical procedures.
Solution
Scalpel provides a computer vision platform designed to automate the validation of surgical trays, instruments, and implants. The system uses AI-powered image recognition to instantly identify and verify each item in the tray against a predefined preference list. This ensures that the correct instruments are present and in proper working order before surgery. By automating tray validation, Scalpel reduces human error, optimizes surgical workflows, and enhances patient safety. The platform also provides an auditable trail of instrument tracking and usage.
Target Audience
Scalpel's primary customers include sterile service divisions, operating rooms, device companies, and third-party logistics providers involved in surgical supply chain management.
Features
- AI-powered computer vision for real-time surgical tray validation
- Automated identification and verification of surgical instruments and implants
- Seamless integration with existing surgical workflows
- Image-based identification for continuous tracking and error minimization
- Customizable preference lists for different surgical procedures
- Auditable trail of instrument tracking and usage