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Harnessing event report data to identify diagnostic error during the COVID-19 pandemic.
Shen L, Levie A, Singh H, et al. Harnessing event report data to identify diagnostic error during the COVID-19 pandemic. Jt Comm J Qual Patient Saf. 2022;48(2):71-80. doi:10.1016/j.jcjq.2021.10.002.
The COVID-19 pandemic has exacerbated existing challenges associated with diagnostic error. This study used natural language processing to identify and categorize diagnostic errors occurring during the pandemic. The study compared a review of all patient safety reports explicitly mentioning COVID-19, and using natural language processing, identified additional safety reports involving COVID-19 diagnostic errors and delays. This innovative approach may be useful for organizations wanting to identify emerging risks, including safety concerns related to COVID-19.
