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MARRTA: Risk matrix in advanced radiotherapy.

María José Rot San Juan1, José Miguel Delgado Rodríguez2, Carlos Prieto Martín3

  • 1Medical Physics department, Hospital Universitario 12 de Octubre, Avda. de Córdoba s/n, 28041 Madrid, Spain.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|October 29, 2024
PubMed
Summary

The MARRTA project developed a risk model and software for advanced radiotherapy, enhancing treatment safety. This tool facilitates proactive risk analysis by identifying potential failures and their impacts.

Keywords:
Patient safetyRadiotherapyRisk analysisRisk matrix methodology

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Healthcare Risk Management

Background:

  • Proactive risk analysis is crucial for identifying and mitigating potential hazards in complex medical procedures.
  • Advanced radiotherapy treatments require robust safety protocols to minimize patient risk.
  • The proactive risk matrix methodology offers a structured approach to evaluating potential errors and failures.

Purpose of the Study:

  • To develop a theoretical risk model for advanced radiotherapy treatments using the proactive risk matrix methodology.
  • To create user-friendly software for implementing the risk model and facilitating risk analysis in radiotherapy.
  • To enhance the safety and efficiency of radiotherapy treatments through comprehensive risk assessment.

Main Methods:

  • A multidisciplinary team identified initiating events and barriers within a generic advanced radiotherapy process.
  • Frequency, consequence severity, and barrier failure probability were assigned to each initiating event.
  • The integrated risk model was incorporated into software, tested in 18 hospitals, and refined based on feedback.

Main Results:

  • The final MARRTA risk model includes 110 potential initiating events.
  • The model incorporates 60 barriers, 54 frequency reducers, and 13 consequence reducers.
  • The developed software enables easy application of the risk matrix methodology.

Conclusions:

  • The MARRTA model and software offer a novel and accessible method for conducting thorough risk analyses in radiotherapy.
  • The system allows for customization to specific radiotherapy department features, ensuring relevant risk assessment.
  • This approach promotes safer advanced radiotherapy treatments by systematically addressing potential risks.