AI-driven analysis of patient safety reports using large language models: an exploratory multiple methods study

LLMs offer an approach to capture and analyse multidimensional concepts in patient safety reports. By extracting problem summaries and categorising them into an accepted taxonomy, they can expose previously unidentified trends and provide visibility into system-level risks. LLMs could effectively augment and expedite manual reviews of safety events, while guiding prioritisation of quality and safety interventions.