Centricity Universal Viewer
GE Healthcare • Radiology • 12/14/2018
Device Purpose
The Centricity Universal Viewer is a medical imaging software designed to enhance diagnostic workflows by enabling healthcare professionals to display, process, analyze, and interpret images from diverse DICOM modalities within a Picture Archiving and Communication System environment. It achieves this through a suite of tools, including specialized cardiology and mammography features, advanced image processing algorithms, and integration capabilities with other healthcare information systems, all operating on standard IT infrastructure.
Summary
Centricity Universal Viewer is an internet-based software application designed as part of a Picture Archiving and Communication System (PACS) to assist authorized healthcare professionals, such as radiologists and cardiologists, in their diagnostic workflows. Its primary purpose is to display, communicate, store, and process medical images and data from a wide array of imaging sources and other healthcare information systems. The system supports numerous DICOM SOP classes, enabling it to handle images from modalities including CT, MR, Ultrasound, Nuclear Medicine, digital mammography, X-Ray, and PET, facilitating comprehensive image review and analysis. The device offers functionalities for image acceptance, transfer, digital processing, and interpretation, including specialized "Cath Tools" for catheterization procedure image analysis such as stenosis and left ventricular analysis, catheter calibration, and distance measurement. It enhances workflow through features like advanced study search, retrieval from external DICOM servers, native support for 2D and DBT mammography interpretation, customizable multi-modality hanging protocols, and improved image annotations. Centricity Universal Viewer operates over standard TCP/IP networks on commercial computer platforms, integrates with third-party applications via APIs, and includes security enhancements; its performance and functionality have been verified and validated. It does not produce original images but receives them from DICOM-compliant sources, and is contraindicated for primary interpretation of lossy compressed mammographic images or digitized film screen images.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the integration with Tomtec-Arena specifically enhance advanced cardiology applications beyond the native Cath Tools functionalities described?; What are the specific performance metrics or benchmarks for the 'smart reading protocols' in learning user preferences for MRI multiphasic studies, and how adaptable are they to varying user habits?; Can the system's Cross Enterprise Display (XED) functionality using FHIR for patient history access be customized to integrate with non-standard or legacy Electronic Medical Record/Hospital Information Systems?; What are the documented limitations or known failure modes of the Cath Tools algorithms (stenosis analysis, Left Ventricular analysis) when dealing with suboptimal image quality or unusual patient anatomies?; Given the contraindication for lossy compressed mammography images, what specific mechanisms are in place to alert users or prevent the loading of such images for primary diagnostic interpretation, particularly in a multi-vendor imaging environment?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
Learn how Parasoft automates IEC 62304 compliance testing →Cybersecurity Evidence
Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, SaaSBOM, OBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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