A year ago, most health system technology leaders were standing up governance frameworks and launching pilots. That work was necessary. But 2026 has brought a different mandate: prove it’s working.
Today we’re publishing our second annual CIO report — Beyond the Pilot: How CIOs Are Operationalizing AI Across Health Systems in 2026 — based on a survey and 1:1 interviews with more than 60 CIOs, CMIOs, Chief AI Officers, and other senior IT leaders at medium and large health systems.
The picture that emerges is one of an industry under pressure, moving fast, and still working out what actually scales.
The gap is bigger than most people think
Most health systems have governance in place and pilots running. But only 4% have achieved scaled AI implementation with measurable outcomes — and 65% of technology leaders rate the pressure to operationalize as 7 or higher on a 10-point scale. Meanwhile, 80% say they struggle to quantify the return on their AI investments, and 39% have no benchmarking process at all.
The urgency is nearly universal: 94% of leaders say delays in operationalizing AI would put their organization at a competitive disadvantage. But there’s a painful mismatch between when health systems need to show ROI and when their current investments are positioned to deliver it. That gap is stalling decisions across the industry.
A category coming into focus
One of the clearest signals in this year’s research: automated care operations has moved from future consideration to mission-critical. More than 70% of health system technology leaders now rate it as very critical or mission-critical to their 2026 objectives — putting it in the same conversation as revenue cycle management and clinical analytics.
At the same time, the era of point solution sprawl is losing its defenders. 72% of leaders say they’d prefer one comprehensive AI partner over managing multiple specialized vendors. Only 11% work that way today — and more than half report spending 11% to 25% of IT bandwidth on vendor management, integrations, and implementations alone.
That math isn’t sustainable, and health system leaders know it.
What separates the health systems making progress
The data points to a consistent pattern among health systems closing the pilot-to-payoff gap. They’re deliberate about use case selection, consolidating around fewer and deeper vendor partnerships, demanding shared risk from those partners, and treating AI as infrastructure — not a project portfolio.
As James Whitfill, MD, Chief Transformation Officer at HonorHealth, put it: “The decisions we’re making about AI right now are among the most consequential we’ve faced — and the margin for error is razor thin.”
The full report includes detailed findings on EHR dependency, agentic AI adoption, vendor consolidation strategies, and five concrete recommendations for CIOs navigating these decisions in 2026. Read the full report here.
