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Chasing Zero Harm in Radiation Oncology: Using Pre-treatment Peer Review
Srinivasan Vijayakumar1, William Neil Duggar1, Satya Packianathan1
1Radiation Oncology Department, University of MS Medical Center, Jackson, MS, United States.
Implementing a multidisciplinary group consensus peer review (GCPR) before radiation oncology treatment initiation prevents errors. This approach successfully reduces harm by catching plan discrepancies early, ensuring patient safety.
Area of Science:
- Radiation Oncology
- Medical Physics
- Quality Improvement
Background:
- The Joint Commission promotes High Reliability Organizations (HROs) to "Chase Zero Harm" in patient care.
- Quality checks in radiation oncology must occur pre-treatment to prevent errors, not just mitigate them.
- Peer review prior to treatment initiation is crucial for achieving "zero harm" in radiation oncology.
Purpose of the Study:
- To implement and evaluate a multidisciplinary group consensus peer review (GCPR) model for radiation oncology treatment plans.
- To assess the effectiveness of pre-treatment peer review in preventing patient harm.
- To "chase zero harm" by identifying and correcting errors before treatment delivery.
Main Methods:
- A Group Consensus Peer Review (GCPR) model involving physicians, residents, physicists, and dosimetrists was utilized.
- Complex cases underwent treatment planning conferences reviewing target volumes, dose coverage, and dose distributions.
- Automated analysis software provided color-coded results for plan approval, with group consensus determining outcomes.
Main Results:
- Approximately 8% of radiation oncology treatment plans required re-planning.
- Around 23% of plans necessitated minor modifications.
- The average review time per plan was 8 minutes.
Conclusions:
- Pre-treatment error detection is the sole method to achieve "zero harm" in radiation oncology.
- The GCPR model effectively prevents a wide range of errors in target definition, dose prescription, and treatment planning.
- This multidisciplinary approach ensures that treatment plans are safe and accurate before patient delivery.
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