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Quantifying the severity of patient safety events via statistical natural language processing
2025-12-27
health informatics
Title + abstract only
View on medRxiv
Show abstract
Medical errors are one of the leading causes of death in the United States. Several public databases have been built to record patient safety events across healthcare systems to better understand and improve safety hazards. These reports typically include both structured fields (e.g., event type, device, manufacturer) and unstructured data elements (free text narrative of what happened). The structured fields are usually restricted to a limited number of categories, whereas the unstructured fiel...
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