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A text mining approach to categorize patient safety event reports by medication error type.
February 14, 2024
Boxley C, Fujimoto M, Ratwani RM, et al. Sci Rep. 2023;13(1):18354.
Patient safety reporting systems offer a way to collect rich data on types of errors. This study measured the performance of three natural language processing (NLP) models to identify important medication safety patterns and trends from 3,861 patient safety reports. These and other machine learning models (e.g., ChatGPT) have the potential to improve how medication-related patient safety events are categorized and monitored that can impact patient medication safety.
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