A Machine Learning Approach to Reclassifying Miscellaneous Patient Safety Event Reports.
Journal:
Journal of patient safety
Published Date:
Dec 1, 2021
Abstract
BACKGROUND AND OBJECTIVES: Medical errors are a leading cause of death in the United States. Despite widespread adoption of patient safety reporting systems to address medical errors, making sense of the reports collected in these systems is challenging in practice. Event classification taxonomies used in many reporting systems can be complex and difficult to understand by frontline reporters, leading reporters to classify reports as "miscellaneous" as opposed to assigning a specific event-type category, which may facilitate analysis.