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Event Recap · VIVE 2026

Healthcare AI Has Entered Its Execution Phase

We spent a couple of days at VIVE 2026 and left with one clear takeaway: healthcare isn't experimenting with AI anymore, it's operationalizing it. The tone felt different this year. Less hype. More accountability.

From Pilots to Production

Three themes came up in almost every conversation on the floor.

AI Is Moving Into Real Workflows

Not pilots or innovation labs, but actual deployment into patient access, prior auth, revenue cycle, contact centers and clinical documentation. The question shifted from "Can this work?" to "How fast can we scale it safely?"

CFOs Are Driving the Narrative

Every serious discussion came back to margin pressure. Health systems want measurable outcomes, reduced leakage, fewer denials, better provider utilization and improved booking conversion. AI has to show up in EBITDA, not just slide decks.

Platform Consolidation Is Accelerating

Fatigue around point solutions is real. Buyers want deeper EHR integration, multi-tenant architectures and vendors who can onboard new markets fast without ballooning implementation costs. Scalability and cost discipline are now competitive advantages.

Build boldly,

but build responsibly.

Governance Is Rising Alongside Growth

Government voices were more prominent this year. The message: innovation is welcome, but patient safety, privacy and compliance remain non-negotiable.

Transparency Is No Longer Optional

Expect stronger enforcement around explainability, bias mitigation and audit trails, especially when AI influences clinical or financial decisions.

Federal Frameworks Enter Procurement

Alignment with broader federal AI frameworks and emerging guardrails is becoming part of enterprise procurement conversations, not an afterthought.

Scrutiny on Data, Models & Security

Increased scrutiny around data source, model validation and cybersecurity, particularly in regulated healthcare environments where the stakes are highest.

Execution, With Guardrails

The expo floor reflected the maturity, fewer "look what our model can do" demos, more "here's how we cut denials 18%" or "here's how we reduced scheduling friction 25%." The most valuable insights, as always, came from side conversations with operators: rethinking services-heavy models into scalable workflow platforms, using offshore engineering strategically for cost leverage, and preparing for 12 to 24 month platform bets rather than quarterly feature releases.

VIVE 2026 in one sentence: healthcare AI has entered its execution phase, and governance is rising alongside growth.