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