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The fusion of incident learning and failure mode and effects analysis for data-driven patient safety improvements.

Paradis KC, Naheedy KW, Matuszak MM, et al. The fusion of incident learning and failure mode and effects analysis for data-driven patient safety improvements. Pract Radiat Oncol. 2020;11(1):e106-e113. doi:10.1016/j.prro.2020.02.015.

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March 17, 2021
Paradis KC, Naheedy KW, Matuszak MM, et al. Pract Radiat Oncol. 2020;11(1):e106-e113.
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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.

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Paradis KC, Naheedy KW, Matuszak MM, et al. The fusion of incident learning and failure mode and effects analysis for data-driven patient safety improvements. Pract Radiat Oncol. 2020;11(1):e106-e113. doi:10.1016/j.prro.2020.02.015.

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