Fuji adds automatic monitoring to PACS

Article

Fujifilm Medical Systems USA introduced a comprehensive set of automated remote monitoring services for its Synapse PACS at the Healthcare Information and Management Systems Society annual conference in Orlando, Feb. 22 to 26. Active Monitoring

Fujifilm Medical Systems USA introduced a comprehensive set of automated remote monitoring services for its Synapse PACS at the Healthcare Information and Management Systems Society annual conference in Orlando, Feb. 22 to 26. Active Monitoring continuously and securely monitors and logs performance metrics of a facility's Synapse system. The goal is to proactively detect system anomalies and remedy them before they cause serious problems. Performance metrics include CPU and memory utilization and available disk space. Specific component and status information, including operating system/application version and patch levels, and network address, are monitored and measured against predetermined performance thresholds. When it detects conditions that are out-of-tolerance, Active Monitoring automatically alerts an appointed system administrator, via e-mail or pager, to remedy the issue.

Recent Videos
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
Related Content
© 2025 MJH Life Sciences

All rights reserved.