A natural language processing approach to categorise contributing factors from patient safety event reports.

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A natural language processing approach to categorise contributing factors from patient safety event reports.

August 30, 2023

Tabaie A, Sengupta S, Pruitt ZM, et al. BMJ Health Care Inform. 2023;30(1):e100731.

View more articles from the same authors.

Analyzing patient safety incident reports is essential to organizational learning, but comes with both a time and financial burden. This study found that natural language processing can be used to process unstructured patient safety event reports and reduce the burden of manually identifying and extracting factors contributing to the event.

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Medicine

Nurse Care

Error Analysis

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A natural language processing approach to categorise contributing factors from patient safety event reports.

eSIMPLER: a dynamic, electronic health record-integrated checklist for clinical decision support during PICU daily rounds.

The e-Autopsy/e-Biopsy: A Systematic Chart Review to Increase Safety and Diagnostic Accuracy Innovation

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A natural language processing approach to categorise contributing factors from patient safety event reports.

eSIMPLER: a dynamic, electronic health record-integrated checklist for clinical decision support during PICU daily rounds.

The e-Autopsy/e-Biopsy: A Systematic Chart Review to Increase Safety and Diagnostic Accuracy Innovation

Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

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