Elizabeth L. Bossart, PhD

Root Cause Analysis (RCA) is resource-intensive and prone to subjective bias. While Radiation Oncology Incident Learning System (RO-ILS) collects vast data, extracting insights from unstructured narratives remains a bottleneck. Large language models (LLMs) of...

To evaluate the reasoning capabilities of large language models (LLMs) in performing root cause analysis (RCA) of radiation oncology incidents using narrative reports from the Radiation Oncology Incident Learning System (RO-ILS), and to assess their potential...