ENTERPRISE IT HEALTHCARE TECHNOLOGY

Can AI Save the NHS From 274,000 Annual Tech Outages?

TM
Techmediaglobal
| 5 min read
274,620
IT INCIDENTS IN 2025
6
NHS ORGANISATIONS ANALYSED
10 YRS
GOVERNMENT HEALTH PLAN
2025
FOI DATA YEAR

Freedom of Information data has revealed that NHS England and five of the UK's largest hospital trusts logged 274,620 IT incidents throughout 2025 — disruption that led to cancelled operations and missed appointments. As the government pushes to make the NHS one of the most AI-enabled health systems in the world, Dynatrace Public Sector Director Paula Lender-Swain explains why digital visibility and resilience must be the foundation of that transformation.

The Foundations AI Transformation Needs First

As a priority, the NHS must close foundational gaps in visibility and resilience. Without a clear, real-time understanding of system performance and patient impact, healthcare organisations risk operating with dangerous blind spots.

Decades of legacy technology and fragmented data systems compound the problem. Connecting outdated platforms to modern, cloud-native applications while ensuring interoperability across trusts and partners will be one of the most complex parts of the digital transition.

The next phase of digital healthcare needs infrastructure built to support AI-driven innovation at scale. By strengthening observability and unifying data across systems, the NHS can shift from reacting to incidents to proactively managing them.

A System-Wide Problem, Not Isolated Incidents

The FOI data makes clear that NHS IT outages are a widespread issue, not confined to individual trusts or one-off events. Outages occur across multiple regions at scale, with thousands of patient interactions affected every time an incident occurs.

With digital disruption now a system-wide challenge, IT outages can no longer be treated as a purely technical issue — they have a direct, measurable impact on patients' ability to access care when and where they need it. Routine services like appointments are hit hardest, threatening early diagnosis and preventative treatment.

Inconsistent incident reporting across trusts also means the NHS lacks a joined-up picture of how outages affect patient care and clinician time — suggesting the true scale of disruption is likely greater than currently reported.

"AI-powered observability can detect anomalies and performance issues in real time, automatically pinpointing the source of disruption and often resolving it before patients are affected."

— PAULA LENDER-SWAIN, PUBLIC SECTOR DIRECTOR, DYNATRACE

Why Interoperability Is Now Mission Critical

With patient data on the line, interoperability across trusts and partners is becoming mission critical to the success of the NHS's digital transition. Public trust must remain front and centre throughout.

It isn't enough for NHS systems to simply connect — they must be consistently secure and resilient so patients can be confident their data is accessed appropriately and used transparently. This is as much an organisational challenge as a technical one, requiring coordination across NHS trusts, local authorities and technology providers.

From Reactive Firefighting to Proactive Prevention

Without secure and resilient platforms, even the most innovative digital services risk flatlining. A small error in one component can quickly cascade across applications and environments, leaving trusts unable to proactively identify patterns or address root causes.

Beyond simply monitoring uptime, AI observability tools can give NHS leaders a holistic view of how digital services perform for patients — correlating data across applications and systems to reveal where demand is surging, where processes are slowing, and how digital investment translates into real-world efficiency.

Key Takeaways

  • NHS England and five major trusts reported 274,620 IT incidents in 2025, disrupting patient care from cancelled operations to missed appointments.
  • Outages are a system-wide issue, not isolated events — occurring across multiple regions with thousands of patient interactions affected each time.
  • Inconsistent incident reporting across trusts means the true scale of disruption is likely underreported.
  • Legacy technology and fragmented data systems remain the biggest barrier to safe, scalable modernisation.
  • AI-powered observability can detect anomalies in real time and often resolve issues before patients are affected.
  • Interoperability across trusts, local authorities and technology providers is now mission critical to the NHS's digital transition.
Tags: NHS Healthcare AI Observability IT Resilience Digital Transformation Dynatrace Enterprise IT