Presentation
Enhancing Patient Safety Event Reporting with Machine Learning: A Usability Study
DescriptionThis study aims to assess the usability of a previously developed patient safety event (PSE) reporting interface by Chen et al (Chen et al, 2023), which integrates a machine learning (ML) classifier and the Local Interpretable Model-Agnostic Explanations (LIME) technique (Ribeiro MT et al, 2016) to automatically classify the event type of PSE reports. The objective of the usability testing is to evaluate the accuracy and effectiveness of the ML classifier for PSE reporting systems, particularly its impact on users’ decision-making, interpretation of classifications, trust, and overall usability of the interface.
Event Type
Industry/Practitioner Content
Lecture
TimeThursday, October 16th5:10pm - 5:30pm CDT
LocationGrand Hall I
Usability and System Evaluation
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