Walking the floor, attending sessions, and talking with SIIM 2026 attendees, we noticed a palpable shift in priorities: the move from flashy to practical solutions, with a focus on planning and tools that actually make life easier for providers. AI might have the best hype man, but a quieter, less glamorous contender stole the show. 

The Password Is: Governance

In addition to the usual AI chatter, the conversations that drew the biggest crowds centered on a topic less about sizzle and more about substance: governance.

Health systems, academic medical centers, and community care centers are actively coaching teams to clearly identify a clinical or operational issue before pursuing a technology solution. As one Mayo Clinic presenter framed it, "If you can't articulate the problem, you aren't equipped for a project."

According to The Imaging Wire, nearly 68% of radiology-oriented papers at SIIM touched on AI in some form. With AI steadily moving toward broader clinical use, health systems are grappling with how to responsibly manage all this new technology once it's in the door. Strong governance structures, paired physician and operational leadership, and defined success metrics aren’t bureaucratic roadblocks. Presenters repeatedly made the case that clear governance actually helps teams move faster, not slower.

The Magic of Invisible Tech: When the Priors Are Just There

With a persistent radiologist shortage and climbing imaging volumes, operational burnout was an undercurrent in nearly every conversation. The most thoughtful sessions highlighted the efficiency paradox: making a clinician more efficient often means they inherit more work.

Real relief must come from removing that work entirely, specifically the administrative tasks that pull clinicians away from focusing on patient care.

A standout theme from the panels was that AI should be invisible, not another standalone tool. It belongs in the background, minimizing context switching and handling the heavy lifting before the clinician opens a study. When image exchange works, nobody notices it. The priors are just there.

The New Differentiator: Mature Customer Support and Seamless Implementation

If IT change management is, as the Mayo Clinic presentation suggested, 20% technical and 80% human, technology only plays a small part. A major talking point among SIIM attendees was that a vendor's customer support capabilities and structured implementation frameworks are what truly separate scaled success from a stalled pilot.

From the onboarding to initial training, the handoff from sales to scoping and clinical go-live must be pristine. Buyers are actively looking for partners who bring a mature customer success infrastructure to the table, not just a software license.

Cloud is No Longer the Question

Skepticism regarding the cloud has shifted. Real-world migration stories, such as Emory University's transition, reported cloud performance that was actually faster and more reliable than traditional on-premises environments.

The evaluation metrics have officially turned to practical execution:

• Thorough Gap Analysis: Evaluating functionality needs completely before migration.
• Robust Validation: Designing rigorous testing and deployment methodologies to minimize clinical risk.
• Downtime Contingencies: Implementing concrete resilience planning, like emergency downtime systems, to maintain local operations if network connectivity falters.

Leading health systems are now using before-and-after workflow use cases to demonstrate the quantified, incremental improvement of imaging applications to stakeholders. 

The ONC’s Dual Mandate: Interoperability is the Prerequisite

Even the most advanced technical discussions regarding automated workflows and agentic AI quickly returned to the core fundamentals of trust, data security guardrails, and workflow sequencing. And as radiology's borders continue to expand, with pathology, ophthalmology, and other specialties increasingly folding into enterprise imaging ecosystems, the interoperability stakes only rise. A single source of healthcare data management sounds appealing until you realize how fragile that vision is without a solid data-sharing foundation underneath it.

Ultimately, every conversation about automation looped back to the basics: smart workflows are only as good as the data supporting them.

You can’t orchestrate what you cannot access. Interoperability isn't a competing priority to AI; it’s the prerequisite. This baseline dependency is why federal health IT leadership is stepping in to champion a unified infrastructure. At the conference, an official from the Office of the National Coordinator for Health IT explicitly urged the industry to focus on a dual mandate, noting that developing smarter, more functional AI is impossible without simultaneously building better image-sharing capabilities.

Ready to put the lessons of SIIM 2026 into practice? Partner with Medicom to build the secure image-sharing foundation your teams need to eliminate administrative friction.