Electro-Biomedical Engineering
Hoarding remains a system-wide issue. When staff cannot trust equipment availability, they hold onto devices “just in case.” This behaviour, while understandable, creates artificial shortages, distorts utilisation patterns and increases the burden on engineers attempting to retrieve devices for maintenance. In several Trusts, tracking data has shown that up to a third of missing devices were idle in clinical areas, a clear illustration of how visibility can correct systemic inefficiencies. Compliance becomes more complex as
devices spend longer periods away from central sites. Items used in virtual ward programmes or in community services may be in transit for extended periods. Without accurate locating data, engineers face repeated wasted journeys, delayed PPMs and increased compliance risk. Meanwhile, device fleets continue to grow
rapidly due to portable digital equipment, wider monitoring programmes and increased community care. EBME staffing does not grow at the same rate. Engineers are expected to support a larger, more mobile and more technologically sophisticated estate with little or no additional capacity. This mismatch contributes to workforce fatigue and reduces the time available for higher-value engineering work, a challenge the 10-Year Plan explicitly acknowledges across clinical and operational professions. Distributed care also increases the need
for traceability, auditability and incident investigation. When equipment moves across multiple environments, understanding its journey becomes essential. Accurate movement history supports MHRA reporting, rapid device quarantine and root-cause analysis, all critical to the Plan’s focus on improving safety and outcomes. Traditional processes cannot scale to this
level of complexity. The NHS of the next decade requires EBME operations strengthened by continuous visibility, reliable data and intelligent infrastructure.
How intelligent asset tracking enables EBME evolution Modern asset tracking systems use hybrid technologies such as RFID, BLE, Wi-Fi, GPS and multimode tags to provide continuous location and usage insight across an entire estate. Their
impact on EBME is profound. Real-time visibility replaces time-consuming manual searching. Engineers can retrieve devices quickly, coordinate maintenance proactively and shift their time from low value manual searching to high value engineering tasks. This directly supports workforce sustainability and enables engineers to operate effectively. Movement and utilisation data enable
intelligent, risk-based maintenance scheduling. Devices can be recalled at optimal times, prioritised by usage intensity, or flagged for review when behaviour deviates from normal patterns. These capabilities lay the groundwork for predictive maintenance models aligned with digital ambitions.
Data-driven utilisation insight replaces
anecdotal decision making. EBME teams can demonstrate where fleets are under or oversized, where equipment is misallocated, and where operational or investment decisions should change. System-wide visibility supports ICS level coordination, shared capacity models, rapid response teams and multi-site care pathways, all core ambitions of the 10-Year
Data-driven utilisation insight replaces anecdotal decision making. EBME teams can demonstrate where fleets are under or oversized, where equipment is misallocated, and where operational or investment decisions should change.
Plan. For example, ICSs can dynamically share ventilators, pumps or diagnostic equipment during surges, reducing duplication and improving resilience.
Cloud-based platforms further support
scale by removing the burden of on-premise infrastructure, improving cybersecurity posture, and enabling seamless integration with maintenance systems, EPRs, patient flow tools and digital command centres. This interoperability is essential to the Plan’s vision of a digitally connected NHS where operational decisions are informed by real-time data. Together, these shifts represent not
incremental improvement but a redefinition of how EBME operates.
The future skillset for clinical engineering As technology adoption accelerates, further driven by mechanisms like the Innovation Passport, EBME teams will require an expanded and more digitally oriented skillset. Digital asset management capability will become essential, encompassing understanding of hybrid tracking technologies, data flows and integration pathways. Engineering teams will need to interpret movement, utilisation and performance data to support operational planning, optimisation and risk management. Cross-site coordination will become a core competency as ICS level collaboration expands. Cybersecurity and firmware oversight will increasingly fall within EBME’s remit as more devices connect to cloud platforms and require
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