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29-30 April 2026 Excel London

Edition 20

24 Apr 2026

Using Ai in Medical Device Management and the impact of Change and Technology Adaption

IHSCM Stand: H11

A resilient healthcare system depends on strong medical device governance, especially as technology becomes more complex, interconnected, and digitally enabled. The rapid evolution of clinical technologies—from networked monitoring systems to AI‑supported diagnostics—means that organisations must manage not only physical assets but also data, cybersecurity, interoperability, and lifecycle risk. Engineering leadership sits at the centre of this landscape, shaping how technology is selected, deployed, governed, and optimised to support safe and effective patient care.

 

Medical device governance as a foundation for safe and effective care

Medical device governance provides the structure through which organisations ensure that equipment is safe, compliant, and aligned with clinical need. It spans the entire lifecycle of a device: specification, procurement, commissioning, maintenance, performance monitoring, decommissioning, and replacement. A mature governance framework integrates regulatory requirements such as Medical Device Management Standards 2021, HTM, MHRA guidance, and ISO standards with operational realities on the ground. This ensures that decisions are transparent, evidence‑based, and consistent across a diverse asset base.

 

In practice, strong governance enables organisations to understand the condition, utilisation, and risk profile of their devices. It supports capital planning by identifying where investment is most needed and ensures that clinical teams have confidence in the reliability and safety of the equipment they use. Without this structure, technology adoption becomes fragmented, reactive, and vulnerable to safety incidents or operational inefficiencies.

 

Realising the impact of technology change

Healthcare technology is advancing at unprecedented speed. Devices are increasingly software‑driven, connected to clinical networks, and integrated with digital platforms such as EPRs and asset management systems. AI‑enabled tools are emerging across imaging, diagnostics, and workflow optimisation. Realising the benefits of these innovations requires more than technical installation—it demands organisational readiness, cultural adaptation, and robust change management.

 

Engineering leadership plays a critical role in translating technological potential into operational reality. Leaders must evaluate emerging technologies, assess compatibility with existing infrastructure, and anticipate the implications for clinical workflows, training, and governance. They act as a bridge between clinical, digital, procurement, and executive teams, ensuring that technology change is coordinated rather than siloed. When managed effectively, new technologies can enhance patient safety, reduce downtime, improve efficiency, and enable new models of care. When poorly governed, they can introduce risk, increase cost, and erode clinical trust.

 

How engineering leadership optimises the process

Engineering leadership provides the strategic oversight needed to ensure that technology change is safe, sustainable, and aligned with organisational priorities. This includes:

  • Strategic alignment — ensuring that device selection and replacement support clinical strategy, operational resilience, and long‑term service goals.
  • Risk‑based decision‑making — using data, engineering judgement, and regulatory frameworks to prioritise investment and manage safety.
  • Stakeholder engagement — facilitating collaboration between clinicians, digital teams, procurement, and executives to build shared understanding and ownership.
  • Workforce development — equipping engineers with the skills needed to manage increasingly digital, software‑driven, and interconnected systems.
  • Continuous improvement — embedding learning from incidents, audits, and performance data into governance processes.
  • Innovation leadership — guiding the safe adoption of AI, automation, and advanced analytics, ensuring that benefits are realised without compromising safety or compliance.

 

When engineering leadership is strong, organisations experience smoother technology transitions, clearer governance, and more resilient services. The result is a healthcare environment where devices are safe, reliable, and optimised for clinical impact—supporting both high‑quality patient care and long‑term organisational sustainability

 

If you’re interested in exploring these themes further, join us at the IHSCM Leadership Theatre at Care Show London, 29th-30th April, to learn more about the leadership behaviours that make technology adoption safe, effective, and sustainable. Our programme will showcase real‑world insights, practical leadership strategies, and future‑focused discussions designed to support professionals across health and social care.

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