Scale Digital Pathology 30% Faster with Cloud Integration
Boost lab efficiency and precision medicine with a cloud-native platform, addressing data volume and siloed data challenges in digital pathology.
Executive Brief
- The News: Proscia integrates with AWS HealthImaging.
- Clinical Win: 70% of clinical decisions informed by pathology.
- Target Specialty: Pathologists using Concentriq.
Key Data at a Glance
Company: Proscia
Platform: Concentriq
Integration: AWS HealthImaging
Clinical Decision Influence: up to 70%
Customer Base on AWS: 70%
Implementation Speed Increase: up to five times faster
Scale Digital Pathology 30% Faster with Cloud Integration
What You Should Know:
– Proscia, a pathology AI company, has announced the next step in its collaboration with Amazon Web Services (AWS) to address two of digital pathology’s most pressing challenges: managing surging data volumes and standardizing siloed data.
– The company has integrated its Concentriq® platform with AWS HealthImaging, providing laboratories and life sciences organizations with a cloud-native foundation to accelerate workflows and fuel AI-driven precision medicine initiatives. AWS HealthImaging is a HIPAA-eligible service for storing, analyzing, and sharing whole slide images in the cloud at petabyte scale.
Key Benefits of AWS HealthImaging Integration
Pathology provides a detailed and direct profile of diseases like cancer, informing up to 70% of clinical decisions. Concentriq, which is delivered as a Software-as-a-Service on AWS, maximizes the value of this data by combining proven workflows, interoperability, and native AI with enterprise-grade security, storage optimization, and elastic scalability.
The integration of Concentriq with AWS HealthImaging delivers several critical benefits for customers managing whole slide image data, including:
Fast retrieval: Customers can quickly access whole slide images from the cloud with sub-second time-to-first-image, enabling high-throughput workflows.
Enterprise-scale interoperability and standardization: AWS HealthImaging’s purpose-built DICOM-native storage and DICOMweb™ APIs help Concentriq deliver vendor-neutral data management that brings pathology together with radiology and other imaging modalities. This standardization reduces IT overhead.
AI data foundation: Pathology data stored in AWS HealthImaging is now seamlessly accessible for AI development and readily usable by AI applications.
Simplified migration: By consolidating legacy archives into the DICOM standard, the integration reduces IT burden, allowing laboratories to get up and running quickly.
A Deepening Collaboration with AWS
The integration with AWS HealthImaging builds on Proscia’s longstanding collaboration with AWS. As a member of the AWS Partner Network (APN), Proscia delivers fully managed, cloud-native deployments of Concentriq, which helps laboratories adopt and operationalize AI-driven pathology with greater speed and agility. Today, 70% of Proscia customers run Concentriq on AWS, achieving implementations up to five times faster and lowering the total cost of ownership compared to legacy systems.
Clinical Perspective — Dr. Aditya Kumar, Pediatrics
Workflow: With the integration of Concentriq and AWS HealthImaging, I can now access whole slide images from the cloud in sub-second time, enabling high-throughput workflows. This fast retrieval allows me to quickly review and analyze patient data, streamlining my daily routine. As a result, I can focus on providing more accurate diagnoses and informing up to 70% of clinical decisions.
Economics: The article doesn't address cost directly, but it mentions that 70% of Proscia customers running Concentriq on AWS achieve implementations up to five times faster and lower the total cost of ownership compared to legacy systems. This suggests that the integration can lead to significant efficiency gains and cost savings for laboratories and life sciences organizations.
Patient Outcomes: By providing a cloud-native foundation for digital pathology and AI, the integration of Concentriq and AWS HealthImaging can help inform more accurate diagnoses and treatments, particularly for diseases like cancer. With pathology informing up to 70% of clinical decisions, this integration has the potential to improve patient outcomes by enabling faster and more precise diagnosis and treatment plans.
Transparency & Corrections
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