HIMSS 2026: healthcare’s inflection point has arrived.

If there was a single theme running through HIMSS 2026, it was this: The industry has stopped debating and started doing. 

Earlier conversations were centered on possibility: what AI could do, how digital health might reshape care, when interoperability might finally come together.

This year, the Randstad Digital Healthcare and Life Sciences team met professionals from all corners of the HLS industry at HIMSS, and the conversation about a shift from discussion to deployment was unmistakable. Health systems are deploying AI into real workflows. Security leaders are confronting the realities of increasingly complex threat environments. And organizations pursuing digital transformation are discovering that innovation moves only as fast as their underlying data and infrastructure allow.

The questions and hypotheticals of prior years have pivoted. Instead of asking, “What if?” companies are considering “What now?” To us, three themes defined the conversation and where the industry goes from here.

1. AI is entering its operational era.

AI dominated HIMSS 2026, but the tone has shifted. The industry is no longer debating whether AI belongs in healthcare. Instead, it’s asking: How do we scale it responsibly across the enterprise?

GenAI adoption is accelerating, particularly in clinical documentation, workflow automation and revenue cycle management, where AI is being applied to claims processing, prior authorization and denial management. Health systems see these capabilities as essential to financial sustainability while freeing staff from repetitive, low-value work.

The conversation also moved into forward-looking territory with agentic AI. Unlike tools that respond to discrete prompts, agentic models can coordinate multi-step tasks, flagging a care gap, scheduling a follow-up, notifying a care manager, without human intervention at each step. Adoption is early, but health systems are already asking how to govern these capabilities safely.

That ambition runs into a hard constraint: you can’t scale AI you can’t trust, and you can’t trust AI built on fragmented, insecure infrastructure.

2. cybersecurity is now a core healthcare capability.

If AI represents the present and future of healthcare, cybersecurity represents its most urgent risk.

Healthcare remains one of the most targeted industries for cyberattacks, and sessions made clear that cyber resilience must be embedded into every layer of digital health infrastructure,  not bolted on as an afterthought. Discussions centered on incident response readiness, protecting legacy systems and connected devices, clearer governance frameworks, and tighter alignment between IT, security and executive leadership.

The stakes have risen sharply. AI deployments, connected devices, cloud platforms and expanded data sharing have widened the attack surface significantly. A breach no longer just compromises data. It can disrupt care delivery and trigger serious regulatory consequences not to mention erode patient trust.

The message was unambiguous: Innovation can’t outpace security. Cybersecurity strategies must scale alongside technology investments, not play catch-up after an incident.

3. interoperability remains the unfinished business of digital health.

Interoperability is arguably the oldest unsolved problem in healthcare IT, and HIMSS 2026 made clear it remains as urgent as ever. As health systems accelerate digital transformation initiatives, the inability to seamlessly exchange data across platforms, sites of care and vendor ecosystems continues to slow progress.

The emergence of alternative care models, remote patient monitoring, virtual care and medical device integrations, is raising the stakes. The technology exists. The demand is real. But without common data standards and connected infrastructure, these innovations remain fragmented rather than transformative.

Before launching major platform implementations, whether it’s Epic, Workday, ServiceNow, or Salesforce, health systems must conduct a thorough application rationalization exercise. Understand what you have, what integrates and what needs to be sunset. Tech debt compounds quickly, and interoperability gaps discovered mid-implementation are far more costly than those surfaced upfront.

what this means for what’s next.

The through-line connecting all three of these themes is readiness: organizational, technological and cultural. 

The healthcare organizations that’ll lead over the next three to five years share a common trait: they’re making the unglamorous investments now in governance, infrastructure, security architecture and workforce enablement, so they can move faster when it counts.

The question isn’t whether your organization believes in the promise of AI or digital care models. At this point, everyone does. The question is whether you’re building the foundation that can deliver sound digital transformation.