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Breaking the custody chain: How AI is preventing surgical specimen mishandling

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This article describes how Atlantic Health implemented an AI-powered digital specimen tracking system to replace manual, paper-based surgical specimen management processes.

  • Over 73% of specimen mishandling incidents in surgery are preventable
  • Atlantic Health replaced handwritten logs with mobile app using QR codes and OCR
  • Amazon Textract extracts data from specimen labels with AI-driven accuracy
  • System tracks location, handler, patient, and timestamps for full traceability
  • Automated alerts notify staff if specimens aren't tracked within three hours
  • Built on AWS using ECS, Aurora, S3, CloudFront, and WAF services
  • Tracked 13,000+ specimens between January-September 2025
  • Cost 80% less than RFID-based alternatives
  • Improved accuracy, reduced errors, and enhanced regulatory compliance

Atlantic Health's solution demonstrates how cloud-based AI can modernize healthcare workflows, improving patient safety and operational efficiency while reducing costs.



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