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Related Experiment Videos

Analyzing planned maintenance (PM) inspection data by failure mode and effect analysis methodology.

Malcolm Ridgway

    Biomedical Instrumentation & Technology
    |June 10, 2003
    PubMed
    Summary

    A new method using Failure Mode and Effect Analysis (FMEA) quantifies medical device maintenance effectiveness. This approach generates a Risk Score to assess planned maintenance (PM) safety, potentially reducing PM frequency without compromising patient care.

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    Area of Science:

    • Biomedical Engineering
    • Healthcare Management
    • Medical Device Safety

    Background:

    • Medical devices are increasingly reliable, yet traditional planned maintenance (PM) practices persist.
    • Demonstrating reduced PM necessity without compromising patient safety remains a challenge.
    • Oversight agencies increasingly accept Failure Mode and Effect Analysis (FMEA).

    Purpose of the Study:

    • To develop a method for evaluating medical device planned maintenance (PM) effectiveness and safety.
    • To leverage Failure Mode and Effect Analysis (FMEA) to address challenges in adjusting PM practices.
    • To create a quantifiable measure for assessing PM regimens.

    Main Methods:

    • Utilized Failure Mode and Effect Analysis (FMEA) methodology.
    • Developed rules to quantify routine PM inspection results.

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  • Created a single measure, the Risk Score, to characterize PM effectiveness and safety.

    • Main Results:

    • The developed method successfully reduced test results to a quantifiable Risk Score.
    • Initial testing on theoretical and real data yielded reasonable outcomes.
    • The Risk Score can characterize the effectiveness and safety levels of current PM regimens.

    Conclusions:

    • The proposed FMEA-based method offers a viable approach to assess and potentially optimize medical device PM.
    • The Risk Score provides a standardized measure for evaluating PM effectiveness and patient safety.
    • Further refinement and industry acceptance are anticipated to influence regulatory and licensing agency policies regarding PM practices.