- Rising device complexity and volume: Health IT leaders must now support 10 times more devices – including biomedical, IoT, and imaging systems – without standardized processes or resourcing models.
- Lack of staffing benchmarks for integrated device support: Hospitals are struggling to allocate the right mix of IT security, Biomed, and clinical informatics roles due to the absence of industry benchmarks for device management staffing.
- Operational inefficiencies from poor device integration: Disconnected systems and unclear accountability across IT and Biomed lead to clinician frustration, security gaps, and workflow delays that threaten patient safety.
Our Advice
Critical Insight
- No standard framework for tracking and securing devices: Many healthcare organizations rely on manual spreadsheets and point systems to manage device inventory making it difficult to ensure security across thousands of connected devices.
- Skills and coverage gaps in staffing models: As device ecosystems grow, healthcare leaders face gaps in 24/7 support coverage, cross-trained teams, and cybersecurity readiness especially in remote or high-risk areas.
- Unclear accountability between IT and biomed: Without clear roles, responsibilities, and shared governance, device management becomes fragmented, increasing risk and reducing organizational resilience.
The real risk in healthcare device management isn’t just the rise in connected devices, it’s the lack of a unified, data-driven resource plan to support them. As IT inherits responsibility for everything with an IP address, healthcare systems must proactively align staffing, governance, and support models across IT and Biomed to manage risk, scale operations, and protect care delivery.
Impact and Result
- Review the current trends and models for biomedical device management, resource planning, and regulatory requirements.
- Identify key organizational pain points through stakeholder interviews, define clear objectives and KPIs, and validate the biomedical and IT device inventory to establish an accurate baseline.
- Evaluate asset lifecycle processes, staffing capabilities, and vendor solution gaps to uncover inefficiencies and identify improvement opportunities through a gap analysis.
- Define a risk-based, integrated support model; build a scalable staffing and training plan; and develop a detailed implementation roadmap with milestones and communication strategies.