(TRIMEDX: Indianapolis) -- TRIMEDX has released its 2026 industry report on clinical asset management, “From possibility to performance: How health systems can operationalize AI, strengthen resilience, and lead through change,” featuring insights from health system leaders on practical steps to adopt artificial intelligence, build supply chain resilience, and sustain safe, efficient operations through ongoing change.

The report examines the mismatch between the speed of AI advancement and healthcare’s capacity to absorb it, outlining governance, standards, and leadership behaviors that help organizations move from pilots to enterprise adoption. It also explores how health systems are redesigning supply chains for continuity in an era of persistent disruption—and how change management and culture ultimately determine whether transformation accelerates or stalls.

“Healthcare is particularly vulnerable to AI-driven disruption due to its heavy reliance on human labor, vast data volumes, and slow adoption of technological advancements,” says Eric Larsen, president emeritus of The Advisory Board and president of TowerBrook Advisors, emphasizing the urgency for health systems to build the organizational readiness needed to integrate AI responsibly and effectively.

Key findings

Operationalizing AI requires governance and trust-first adoption: Leaders must set clear standards for data use, vendor diligence, and model transparency while designing AI tools to assist experienced teams.

Health systems should start where AI effect is measurable: Administrative and operational functions offer faster feedback loops and lower risk than direct-care use cases.

Supply chain resilience is now an operational requirement: Leaders are prioritizing continuity and transparency alongside cost, using layered strategies such as redundancy, disruption monitoring, and improved inventory visibility.

Data breadth and quality enable better decisions at scale: Executives emphasize that aggregated, heterogeneous datasets consistently outperform narrower inputs, improving the reliability of operational insights.

Culture and change management determine whether transformation sticks: Transparent communication, peer advocacy, and disciplined execution help teams adopt new tools and standardize workflows without losing purpose or cohesion.

In a conclusion drawn from TRIMEDX’s gathering of health system leaders, the report emphasizes that sustainable progress comes from disciplined execution and the ability to act on insights consistently, at scale—even amid uncertainty. “A poor first experience can set adoption back months. Trust builds faster when AI behaves like an assistant, not a supervisor,” says TRIMEDX chief technology officer, Steven Martin.

The report also shares examples of measurable outcomes that health systems can achieve when AI and clinical-asset intelligence are applied to operational challenges—such as improving equipment visibility and uptime, accelerating repairs, and reducing unplanned downtime. In HTM operations, TRIMEDX cites outcomes achieved by health systems using its solutions, including more than 99% equipment uptime, more than 31,000 hours of prevented unplanned downtime, up to 20% savings in baseline clinical-engineering operational expense, and up to 35% capital expense deferral without compromising patient care.

Download the full 2026 industry report to explore actionable guidance on AI governance and adoption, supply chain resilience, and leading teams through ongoing change.