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Standardization of radiation therapy quality control system through mutual quality control based on failure mode and
Yuki Tanimoto1,2, Masataka Oita3, Kazunobu Koshi4
1Department of Radiology, NHO Kure Medical Center and Chugoku Cancer Center, Kure, 737-0023, Japan.
Radiological Physics and Technology
|November 18, 2024
Summary
Mutual quality control enhances radiation therapy equipment safety by standardizing data analysis across institutions. This approach reduces risks and improves overall quality control effectiveness.
Area of Science:
- Medical Physics
- Radiation Oncology
- Quality Management
Background:
- Advancements in irradiation technology necessitate robust quality control for radiation therapy equipment.
- Disparities in qualified personnel and techniques lead to inconsistencies in institutional quality control.
- Standardization is crucial for ensuring equitable and effective radiation therapy services.
Purpose of the Study:
- To evaluate the effectiveness of mutual quality control in standardizing radiation therapy equipment quality control.
- To identify and mitigate potential risks within radiation therapy institutions through comparative analysis.
- To assess the cost-effectiveness of implementing mutual quality control strategies.
Main Methods:
- Failure Mode and Effects Analysis (FMEA) applied to 12 radiation therapy institutions.
- Comparative analysis of quality control data between institutions before and after mutual quality control implementation.
- Integration of a cost-effectiveness factor into the FMEA framework.
Main Results:
- Mutual quality control demonstrated significant utility in reducing identified risks in radiation therapy equipment.
- Comparative analysis revealed discrepancies that were addressed through inter-institutional data sharing.
- The cost-effectiveness analysis supported the adoption of mutual quality control for risk management.
Conclusions:
- Mutual quality control is an effective strategy for standardizing and improving the quality of radiation therapy equipment.
- Implementing inter-institutional data analysis mitigates risks and enhances the reliability of quality control systems.
- The integration of cost-effectiveness analysis validates mutual quality control as a valuable tool for radiation oncology departments.
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