PHILADELPHIA, PA — Proscia® announced an expanded collaboration with Amazon Web Services (AWS) to tackle two of digital pathology’s biggest hurdles: soaring data volumes and fragmented storage standards. The company has integrated its Concentriq® platform with AWS HealthImaging, providing laboratories and life sciences organizations a cloud-native foundation to accelerate workflows and enable AI-driven precision medicine.
Pathology guides nearly 70% of clinical decisions, making efficient data management critical. Delivered as a SaaS solution on AWS, Concentriq combines workflows, interoperability, and AI capabilities with enterprise-grade security and elastic scalability. The new integration leverages AWS HealthImaging’s HIPAA-eligible, DICOM-native storage to unify pathology with radiology and other imaging modalities, reducing IT overhead and supporting long-term enterprise strategies.
Key benefits include sub-second access to whole slide images, simplified migration of legacy archives, and seamless availability of pathology data for AI development. Proscia highlighted that customers already using AI tools on Concentriq can now benefit from faster and more cost-effective access to pathology images.
The move builds on Proscia’s broader relationship with AWS, where 70% of its customers already run Concentriq. As an AWS Partner Network member, Proscia has joined the ISV Accelerate Program and AWS Marketplace, streamlining adoption and migration for laboratories transitioning from legacy systems.
“Expanding our collaboration with AWS through the AWS HealthImaging integration builds on the success we’ve collectively achieved in helping leading laboratories and life sciences organizations scale AI in pathology,” said Coleman Stavish, CTO of Proscia. “It reinforces our commitment to interoperability and DICOM standardization while empowering customers to harness the latest cloud services to advance precision medicine.”
With the integration, Proscia positions Concentriq as a critical tool for laboratories seeking to standardize imaging, reduce IT burden, and unlock new frontiers in AI-powered diagnostics.
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