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Updated: Jun 22, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

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Published on: May 18, 2021

A maintenance model for clinical engineering.

IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society

|June 5, 2009

Summary

This summary is machine-generated.

This equipment maintenance model provides benchmarks for hospital settings, focusing on technician workload, productivity, and resource allocation for effective device management. These guidelines aid in optimizing clinical engineering departments.

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Last Updated: Jun 22, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Area of Science:

Biomedical Engineering
Healthcare Management
Operations Research

Background:

Effective equipment maintenance is crucial for hospital operations and patient safety.
Existing maintenance models often lack specific, data-driven benchmarks for resource allocation.
University hospitals, particularly those in the 250-400 bed range, require tailored maintenance strategies.

Purpose of the Study:

To establish a quantitative equipment maintenance model based on practical experience and soft data.
To provide benchmarks for technician workload, productivity, and resource needs in hospital settings.
To guide the optimization of in-house maintenance departments and their integration with external services.

Main Methods:

Derivation of model parameters from a combination of soft data and experienced-based intuition.
Focus on device numbers rather than hospital bed count for workload calculations.
Analysis of key performance indicators including technician productivity, maintenance costs, and resource allocation.

Main Results:

Ideal technician workload: 400-550 devices.
Average technician hands-on time: 75%.
Recommended resources: 250 sq ft/technician, $20,000 capital equipment/technician, $15-$25 supplies/device.
Staffing ratios: 1 engineer per 3 technicians; 1 clerical FTE per 3 technicians.
Annual maintenance estimate: 2.5 hours/device (3 for clinical, 2 for non-clinical).

Conclusions:

The model provides actionable benchmarks for optimizing hospital equipment maintenance.
In-house maintenance costs should be managed effectively, considering cost-effective external options.
Continuous data sharing and refinement by clinical engineers and BMETs are encouraged to improve the model.