PACS Implementation Best Practices: How Health Systems Can Modernize Imaging Infrastructure

Replacing or upgrading your PACS is no small undertaking. It’s not simply a technology swap — it’s an opportunity to modernize clinical workflows, improve enterprise access to imaging data, and support better patient outcomes. Whether your current PACS is nearing end of life, your organization is standardizing across multiple environments, or you’re moving imaging to the cloud, success depends on disciplined execution and a clearly defined strategy.

Below is a practical, experience-driven framework to help healthcare organizations prepare for, implement, and optimize a modern PACS platform with minimal disruption.

Step 1: Establish Clear Strategic and Organizational Drivers

Before engaging vendors or evaluating solutions, define what success looks like. Common priorities include:

Setting primary goals such as reducing turnaround time (TAT), improving reading efficiency, improving referring access, enabling remote/after-hours coverage or resolve end-of-life risk.
Developing an enterprise-wide imaging strategy, typically choosing between a radiology-only PACS replacement or a broader platform that includes enterprise viewer, VNA alignment and possibly includes other service lines such as cardiology.
Establishing a desired level of embedded workflows specific to your EHR.

Step 2: Conduct a Comprehensive Clinical Workflow and User Experience Assessment

A PACS environment is only as effective as the clinical and operational workflows it enables. This review should examine both radiology and enterprise imaging workflows to identify:

Bottlenecks and latency issues
Manual workarounds or duplicate processes
Variability across sites or departments
Remote access challenges for referring providers

Specifically, you should review the following areas of concern:

Radiologist reading workflow
Advanced visualization
Technologist workflow
Enterprise clinician experience

Step 3: Designing for Performance, Reliability and Scalability

Once you’ve identified the workflows and experiences of those using the system, you will then need to identify the best architectural design for your organization. Areas of consideration include:

What will be your deployment model?
- Cloud-native
- Hosted
- Hybrid
- On-Premise

How can you scale performance efficiently? How do you focus on image load time, prior retrieval, and worklist responsiveness at peak volumes?

How do you design the system to be during peak availability?
- Active/active vs. Active/passive design
- Downtime behavior
- Planned maintenance impact

What is your disaster recovery strategy? It will need to include RPO/RTO targets, a proper disaster recovery testing cadence , as well as clear responsibilities for disaster recovery operations.

Step 4: Prepare Your Legacy Data Strategy

Modern PACS platforms place significant demands on network performance, storage architecture, and cybersecurity posture. A proactive infrastructure assessment should evaluate:

Current state inventory, network bandwidth, and latency for high-resolution imaging.
Migration options, storage performance, and capacity planning.
A cutover strategy, including how prior images will be accessed during the transition.
Meeting state and federal retention needs, providing an audit trail, and eDiscovery requirements.
Properly decommissioning legacy PACS infrastructure and licenses to avoid ‘forever legacy’ operating costs.

Step 5: Planning Future Roadmaps and AI Enablement

One of the benefits of reinvesting in your PACS is the opportunity to roadmap the system’s future. A few areas that become unlocked with a new PACS environment include:

AI integration models
Data access for innovation through APIs, de-identification support, research workflows, and bulk exports.
Operational analytics, including dashboards designed for volume, modality utilization, TAT, peer review, and quality/safety metrics.

As imaging volumes grow and enterprise imaging strategies mature, the PACS environment should evolve accordingly. With clear objectives, strong stakeholder engagement, disciplined execution, and a robust post–go-live optimization model, healthcare organizations can confidently transition to a PACS environment that is faster, smarter, and built for the future of imaging.