Medical Device Maintenance Management Strategies

Medical device maintenance management encompasses a suite of strategies designed to ensure that equipment remains safe, reliable and available for clinical use throughout its life cycle. Traditional preventive maintenance establishes fixed schedules for inspections and servicing, while corrective maintenance addresses failures after they occur. More advanced approaches integrate predictive maintenance, leveraging condition monitoring, data analytics and machine learning to forecast potential failures and optimise intervention timing. Decentralised maintenance models distribute responsibilities across clinical engineering teams to improve responsiveness and resource allocation, particularly in resource-limited settings. Reliability-centred maintenance frameworks prioritise interventions based on the criticality and functional importance of each device, often underpinned by key performance indicators that track downtime, failure rates and cost efficiency. The digitisation of maintenance records and the adoption of interoperable information systems facilitate real-time visibility into device status, support risk management and foster continuous quality improvement. Taken together, these strategies contribute to enhanced patient safety, lower operational costs and sustained equipment performance on a global scale.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Medical Device Maintenance Management Strategies publication trend

The graph below shows the total number of articles in medical device maintenance management strategies across all publications each year (not limited to Nature Index journals).

Technical terms

Preventive maintenance: Scheduled inspections and servicing performed at fixed intervals to reduce the likelihood of device failure.

Predictive maintenance: Use of condition monitoring and data analytics to forecast equipment failures and optimise maintenance timing.

Decentralised maintenance: Distribution of maintenance responsibilities across local teams to improve agility and resource use.

Reliability-centred maintenance (RCM): A methodology prioritising maintenance activities based on the functional impact and criticality of each device.

Key performance indicator (KPI): A quantifiable metric used to assess and compare maintenance effectiveness, such as downtime or failure rate.

Machine learning: Computational techniques that identify patterns in data to predict future events, such as device failures.

References

1. Implementation of a decentralised maintenance model with a measurable impact on the functionality and availability of medical equipment in healthcare facilities in Burundi. Health and Technology (2023).
2. The digitization process and the evolution of Clinical Risk Management concept: The role of Clinical Engineering in the operational management of biomedical technologies. Frontiers in Public Health (2023).
3. Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management. PeerJ Computer Science (2023).
4. Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management. Frontiers in Public Health (2021).