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By: Bessie Cherry, Senior Product Manager USCAN Service and Joe DeLuca, Senior Manager HTM Site Support USCAN Service
HTM teams are now operating within an environment of heightened complexity. Beyond maintaining physical equipment, they are responsible for managing interconnected software systems, data integrations, and growing cybersecurity risks.2-4 The increasing integration of connected medical devices into hospital networks has expanded both operational capabilities and exposure to cyber threats, making device management more complex than ever.2-4
These teams operate in real-world clinical environments where downtime can have immediate and visible consequences.5,6 When systems or equipment fail, patient care delivery can be delayed, workflows disrupted, and reliance on manual processes increased, which can raise both operational and care delivery risks.5,6 There is no margin for prolonged disruption, no opportunity to pause operations while skills are developed, and limited tolerance for trial-and-error learning in live service conditions.
At the same time, workforce pressures continue to intensify. Staffing gaps are widening, experienced technicians are retiring at an accelerated pace, and the pipeline of new talent remains constrained, placing additional strain on teams already supporting mission-critical systems.1,7 Demand for biomedical technicians continues to outpace supply, with thousands of projected annual openings but only a small number of new graduates entering the field.1,11
While the fundamentals of the profession remain essential, including electrical safety, disciplined preventive maintenance, and strong troubleshooting capabilities, the nature of the work has evolved. Modern medical technology increasingly incorporates software, connectivity, interoperability, and cybersecurity, requiring technicians to operate across integrated, software-driven environments where issues can span multiple systems and disciplines.2,4,8,9 The growing interconnectivity of medical devices and reliance on software-driven functionality has increased both technical complexity and the need for cross-domain expertise.2,8,9
This creates a fundamental challenge: teams must adapt and build new capabilities while continuing to operate without interruption. This shift is less a reflection of workforce limitations and more a function of the rapid evolution of device ecosystems. As healthcare organizations adopt increasingly complex and connected technologies, the gap between existing capabilities and required skills may continue to grow unless training approaches evolve alongside them.8,9 Amid these pressures, the emphasis can move decisively from strategy and operating models to the teams responsible for execution. High-performing HTM organizations are helping to redefine how capability is built, treating training not as a periodic event, but as a continuous, structured discipline.1,8,10
Rethinking how capability is built in modern HTM environments
For years, competency in HTM was built through repetition, with technicians gaining experience over time across similar devices.10 Today, that model is no longer sufficient. As Joe DeLuca, senior HTM training leader at GE HealthCare, explains, competency can no longer rely only on years of repetition. The pace of technological change now requires capability to be built intentionally, through structured learning, applied practice, and reinforcement that translates directly into the field.
Higher variability across devices, software-driven behavior, and interconnected systems mean that service scenarios can be less predictable.2,9 Given these dynamics, capability can no longer be left to accumulate through experience alone. It must be developed deliberately, reinforced consistently, and applied with confidence in real service conditions.
Several forces are shaping this shift in capability expectations across HTM environments:
Where skill gaps appear in practice
While every HTM environment has its own mix of equipment and staffing models, capability gaps tend to appear in consistent, practical ways across service operations. These gaps are not always visible in theory, but may become clear in how time is spent, where issues escalate, and how effectively teams can resolve problems end-to-end.8,9
How training models are evolving
When stakes are high, learning through live service events is not always practical or efficient. Building confidence through structured, applied experience can be an important tool for helping to maintain performance and reduce risk.5,6
Effective training programs fail by offering more content. What matters is alignment with real-world conditions. In high-pressure service environments, technicians develop capability through short learning cycles, applied practice, coaching, and reinforcement that mirror how work is performed.1,8,10
Blended approaches combine digital modules for baseline knowledge with instructor-led sessions focused on hands-on scenarios, peer learning, and repetition, allowing technicians to move from understanding concepts to applying them in practice while helping to reduce uncertainty in live service conditions.8,10
This shift is reinforced by a move toward competency-based progression, where the emphasis moves from time spent in training to a technician's ability to perform work effectively and consistently. This creates clear expectations and more meaningful performance benchmarks for leaders.1,10
Structured mentorship supported by defined goals, shadowing plans, and feedback loops help enable consistent knowledge transfer across teams. Combined with applied technical training, this helps to strengthen coaching behaviors and improve collaboration.10
Leadership as a force multiplier in technical readiness
In connected service ecosystems, performance is shaped not only by what technicians know, but by how effectively teams communicate, troubleshoot, and coordinate under pressure. As systems can become more interconnected, variability in execution can become a greater risk.8,9
Frontline leadership reinforces consistency in how work is approached and executed. Guiding diagnostic methods, aligning expectations, and reducing friction across IT, clinical, and HTM teams can all directly influence performance.10
Leadership extends capability beyond individual expertise. Rather than relying on isolated knowledge or "heroic" problem-solving, effective leaders enable shared understanding and repeatable practices.10
Coaching reinforces this at the team level. Rather than stepping in to resolve issues, effective leaders focus on how problems are diagnosed and worked through, building confidence, accountability, and consistency over time. Ultimately, leadership helps to allow capability to scale across the organization. By reinforcing shared practices, supporting knowledge transfer, and reducing reliance on individual expertise, teams can help expand capacity and can help improve performance.8,10
Practical strategies HTM departments can implement now
As capability becomes more central to service performance, leading HTM organizations are taking a more structured approach to how skills are defined, developed, and reinforced. The focus is less on adding training and more on creating repeatable pathways that translate directly into consistent performance in the field.1,8,10
A key step is defining a modern competency map that combines device fundamentals with connectivity, software troubleshooting, interoperability, and cybersecurity awareness.2,4,8,9 Aligning onboarding and ongoing development to this framework ensures training reflects real service conditions and evolving technology environments.1,8,10
Turning capability into operational capacity
Organizations that approach capability in this way aim to achieve measurable impact across service performance, including fewer preventable escalations, faster resolution times, and greater confidence across the workforce.1,8,10
As service environments become more software-driven and interconnected, the ability to apply skills consistently can become a defining factor in operational success. Capability built through structured pathways, supported by leadership, and reinforced through everyday work may contribute to improved uptime.8,9,10
This approach can also help create capacity within the organization. When issues are resolved more efficiently and variability is reduced, teams can spend less time reacting and more time executing planned work.1,8
Organizations preparing for the future may treat capability as a system rather than an event. For HTM leaders, that means taking deliberate steps to assess capability gaps, align training with modern service realities, expand cross-functional competencies, and create continuous learning pathways that evolve alongside technology.
Practical actions can include developing competency frameworks that incorporate connectivity, interoperability, software troubleshooting, and cybersecurity awareness; establishing structured onboarding and mentorship programs; and creating opportunities for ongoing skill reinforcement in the flow of work.2,4,8,10
By aligning workforce development with modern service realities, organizations can help strengthen performance, build resilience, improve operational readiness, and better keep pace with growing complexity. As technology and service environments continue to evolve, investing in capability development today can help ensure teams are prepared for the challenges of tomorrow.
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