About the Session
Remote imaging has become essential to modern healthcare delivery, but performance issues across the public internet continue to create delays, frustration, and risk to patient care. Attendees will explore the real-world challenges that affect remote image interpretation, including latency, jitter, bandwidth variability, workstation performance, resiliency gaps, and the cumulative impact of internet routing “hops.” Drawing from an ongoing, large-scale investigation, this session provides practical insight into why remote performance breaks down and where meaningful improvements can be made.
Participants will learn how performance issues were systematically measured and validated across multiple organizations, moving beyond anecdotal complaints to reproducible data. The session walks attendees through testing approaches, baseline measurements, and evaluation methods used to assess transfer protocols, infrastructure design, and end-user experience. Attendees will gain a framework they can apply within their own environments to objectively assess remote radiology performance and identify bottlenecks.
The session also examines multiple solution pathways designed to reduce latency, improve resiliency, strengthen cybersecurity protections, and enhance the remote reading experience. Attendees will compare proposed architectures, review before-and-after performance results, and understand tradeoffs across different use cases. Through live polling and demonstrations, participants will see how technical choices translate into measurable performance gains and clearer ROI—using tools and approaches that are vendor-neutral and adaptable to a wide range of environments.
Objectives
- Identify remote radiology use cases that can be improved through optimized network architecture and performance strategies.
- Measure baseline performance metrics for remote radiologists using practical testing methods and tools.
- Explain technical approaches for increasing performance, resiliency, and cybersecurity across internet-based workflows.
- Calculate return on investment for targeted performance improvements using real-world operational data.
Presented By
