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Purpose <p>A preliminary review of existing studies reveals recurrent functional failures attributed to poor maintenance, usage planning, and management challenges, alongside proposed mitigation strategies. However, the number of works of literature is very large and not systematic.</p> Method <p>To address this, a systematic literature review (SLR) is proposed to investigate proactive maintenance and fault detection in healthcare. The SLR follows the ROSES protocol, which includes four steps: (1) identification of peer-reviewed articles from Scopus, Google Scholar, Web of Science, and IEEE Xplore (2016–2024), (2) screening for quality and relevance, (3) application of eligibility criteria focusing on maintenance strategies and fault detection methods, and (4) quality appraisal to ensure inclusion of rigorous studies.</p> Results <p>The review analyzed 40 articles and identified 10 distinct fault detection methods for medical equipment maintenance, categorized into three main themes: (1) data acquisition and monitoring, focused on capturing real-time data for performance evaluation; (2) prediction and analytics, used to predict future equipment failures; and (3) supporting technologies, aiding the implementation of proactive maintenance strategies. As a result, sensor-based monitoring and integration (SBMI) was the most used method, highlighting its importance in enhancing equipment reliability through real-time data collection and predictive analysis.</p> Conclusion <p>The categorization emphasizes the need for a comprehensive approach to proactive maintenance, focusing on real-time data, predictive analytics, and supporting technologies. These strategies enable healthcare facilities to improve equipment reliability, operational efficiency, and ultimately enhance patient safety and care quality.</p>

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Systematic literature review on improving healthcare through proactive maintenance and fault detection in medical equipment

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Nor Atikah Mohamad Radzi,
  • Nazrul Anuar Nayan,
  • Syaza Norfilsha Ishak

摘要

Purpose

A preliminary review of existing studies reveals recurrent functional failures attributed to poor maintenance, usage planning, and management challenges, alongside proposed mitigation strategies. However, the number of works of literature is very large and not systematic.

Method

To address this, a systematic literature review (SLR) is proposed to investigate proactive maintenance and fault detection in healthcare. The SLR follows the ROSES protocol, which includes four steps: (1) identification of peer-reviewed articles from Scopus, Google Scholar, Web of Science, and IEEE Xplore (2016–2024), (2) screening for quality and relevance, (3) application of eligibility criteria focusing on maintenance strategies and fault detection methods, and (4) quality appraisal to ensure inclusion of rigorous studies.

Results

The review analyzed 40 articles and identified 10 distinct fault detection methods for medical equipment maintenance, categorized into three main themes: (1) data acquisition and monitoring, focused on capturing real-time data for performance evaluation; (2) prediction and analytics, used to predict future equipment failures; and (3) supporting technologies, aiding the implementation of proactive maintenance strategies. As a result, sensor-based monitoring and integration (SBMI) was the most used method, highlighting its importance in enhancing equipment reliability through real-time data collection and predictive analysis.

Conclusion

The categorization emphasizes the need for a comprehensive approach to proactive maintenance, focusing on real-time data, predictive analytics, and supporting technologies. These strategies enable healthcare facilities to improve equipment reliability, operational efficiency, and ultimately enhance patient safety and care quality.