The fusion of incident learning and failure mode and effects analysis for data-driven patient safety improvements.
Assessing risk and learning from adverse events are core components of patient safety improvement. The authors propose a method which leverages a radiation oncology incident learning system with a simplified failure mode and effects analysis (FMEA) to analyze safety events and monitor the success of workflow changes to improve patient safety and address high-risk errors.