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7 resources tagged with “infrastructure”

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Healthcare IT Server & VM Sizing: The Practitioner's Guide

How to size servers and virtual machines for PACS, RIS, LIS, interface engines, and VNA workloads — CPU, memory, IOPS, and network, with worked examples, benchmark ranges, and the sizing mistakes that cause post-go-live performance incidents.

ArticlesBlog Articles

Monitoring Clinical Systems: The Alerts That Matter and the Ones That Wake You for Nothing

What to monitor across PACS, RIS, LIS, and HL7 interfaces — the metrics that predict clinical impact, how to build synthetic transactions, and how to design alert thresholds that survive on-call without causing fatigue.

Moving Clinical Systems to the Cloud: Architecture Patterns That Actually Work

A practitioner's view of cloud and hybrid architecture for PACS, VNA, and clinical systems — which workloads move well, egress and latency economics, the hybrid patterns that work, and what to check before signing.

Hospital Network Design for Imaging Traffic: VLANs, Bandwidth, and QoS

How to design hospital network segments that carry DICOM and HL7 traffic reliably — segmentation patterns, bandwidth sizing from real study volumes, QoS policy, and the network faults that present as PACS problems.

Backup and Disaster Recovery for Clinical Systems: RPO and RTO That Survive Contact With Reality

How to define RPO and RTO for PACS, RIS, LIS, and interface engines, design a backup architecture that survives ransomware, and test recovery in a way that proves the plan works rather than assuming it.

ArticleInfrastructure › Storage13 May 2026

Healthcare Storage Tiering: Hot, Warm, Cold and Archive for Clinical Systems

How to design a tiered storage architecture for PACS, VNA, and clinical databases — what belongs on each tier, how to set the migration windows, and the tiering mistakes that make routine reads feel slow.

ArticleEnterprise Imaging › PACS14 February 2026

How to Calculate PACS Storage Growth (With the Formula)

The exact formula for calculating PACS storage requirements — including per-modality size benchmarks, compression ratios, growth factors, and the tiered storage model. Includes a worked example for a 500-bed hospital.