SAPS-027 - Predicting prescription review skills performance using eye-tracking features: A regression analysis with advanced machine learning models

• At: Copenhagen (Denmark) (2025)
• Type: Poster
• Poster code: SAPS-027
• By: HSIEH, Kun-Pin (School of Pharmacy, Kaohsiung Medical University, Taiwan)
• Co-author(s): Dr Kun-Pin Hsieh (School of Pharmacy, Kaohsiung Medical University, Kaohsiung City, Taiwan)
  Dr Hong-Jie Dai (Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan)
  Mr Ting-Chuan Hung (Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan)
  
• Abstract:

  Background:
  Eye-tracking technology has recently garnered significant attention in healthcare education, particularly for assessing prescription review skills. Traditional evaluation methods often overlook the nuanced dynamics of visual attention during task performance. Our work fills an existing research gap in objective performance evaluation..

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