PPR-061 - Using two large language models to classify guidelines in clinical decision support systems

• At: Copenhagen (Denmark) (2025)
• Type: Poster
• Poster code: PPR-061
• By: HSU, Hsing-Yu (China Medical University Hospital, Taiwan)
• Co-author(s): Hsing-Yu Hsu (China Medical University Hospital, Taichung City 40450, Taiwan / Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan)
  Dr. Yow-Wen Hsieh (China Medical University Hospital, Taichung City 40450, Taiwan)
  Dr. Shih-Sheng Chang (Artificial Intelligence Center, China Medical University Hospital, Taichung, Taiwan)
  
• Abstract:

  Background
  The effective implementation of personalized pharmacogenomics (PGx) requires the integration of released clinical guidelines into decision support systems (CDSS) to facilitate clinical applications. Large language models (LLMs) can be valuable tools for automating information extraction and updates.
  
  Purpose
  To assess the effectiveness..

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