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Fatigue01:21

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Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
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Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
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A streamlined failure mode and effects analysis.

Eric C Ford1, Koren Smith1, Stephanie Terezakis1

  • 1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287.

Medical Physics
|June 1, 2014
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Summary
This summary is machine-generated.

A streamlined Failure Mode and Effects Analysis (FMEA) efficiently identified and addressed key risks in radiation oncology. This structured approach minimized staff effort while enhancing patient safety through targeted interventions.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Improvement

Background:

  • Failure Mode and Effects Analysis (FMEA) is a critical tool for identifying potential failures in healthcare processes.
  • Traditional FMEA can be resource-intensive, potentially limiting its widespread adoption.
  • Optimizing FMEA processes is essential for efficient risk management in radiation oncology.

Purpose of the Study:

  • To assess the feasibility and impact of a streamlined Failure Mode and Effects Analysis (FMEA) process.
  • To minimize staff effort required for conducting a comprehensive FMEA in radiation oncology.
  • To evaluate the effectiveness of a structured FMEA in identifying and mitigating patient safety risks.

Main Methods:

  • A structured FMEA was implemented for the external beam radiation therapy process at a high-volume center.
  • A core team of seven members and a dedicated facilitator led the FMEA.
  • Failure modes were identified, risk priority numbers (RPNs) calculated, and interventions applied for RPNs > 150.

Main Results:

  • Fifty-two failure modes were identified, with the top four including film check delays and undocumented patient conditions.
  • Safety interventions were implemented for the four highest-risk failure modes (RPN > 150).
  • The streamlined FMEA was completed within one month, requiring 55 staff hours and 20 facilitator hours.

Conclusions:

  • Streamlined FMEA is a feasible and effective method for large-scale risk analysis with minimal staff involvement.
  • FMEA holds potential for quantifying the impact of quality improvement initiatives by tracking reductions in risk scores.
  • Further research is recommended to validate FMEA's role in measuring quality improvement outcomes.