The new industry report provides insights from health system leaders on adopting AI, building supply chain resilience, and maintaining efficient operations.
TRIMEDX has released its 2026 industry report, From possibility to performance: How health systems can operationalize AI, strengthen resilience, and lead through change, which provides insights from health system leaders on adopting artificial intelligence (AI), building supply chain resilience, and maintaining efficient operations.
The report addresses the gap between the speed of AI development and the healthcare industry’s ability to implement it, outlining governance and leadership strategies to move from pilot programs to enterprise-wide adoption. It also examines how health systems are redesigning supply chains to ensure continuity.
“Health care 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, in a release.
Key Findings on AI and Operations
According to the report, successful AI integration requires clear governance and a focus on building trust. Key findings suggest that health systems should:
- Establish clear standards for data use, vendor diligence, and model transparency, designing AI tools to assist experienced teams rather than replace them.
- Begin AI implementation in administrative and operational functions, which offer faster feedback and lower risks compared to direct patient care applications.
- Prioritize supply chain continuity and transparency by using strategies like redundancy, disruption monitoring, and improved inventory visibility.
- Utilize aggregated, heterogeneous datasets to improve the reliability of operational insights and support better decision-making at scale.
- Focus on culture and change management, using transparent communication and peer advocacy to help teams adopt new tools and workflows.
The report concludes that progress depends on disciplined execution and the ability to act on insights consistently. “A poor first experience can set adoption back months. Trust builds faster when AI behaves like an assistant, not a supervisor,” says Steven Martin, chief technology officer at TRIMEDX, in a release.
The report also highlights measurable outcomes that can be achieved by applying AI to clinical asset management, including improved equipment uptime and reduced unplanned downtime. In its release, TRIMEDX cited outcomes achieved by health systems using its solutions, including over 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.
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