Construction and application of pediatric antibiotic off-label use assessment system based on artificial intelligence

Corresponding author: YU Gang, yugbme@zju.edu.cn

DOI: 10.12201/bmr.202411.00080

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  Abstract: Purpose/Significance The phenomenon of off-label use of antibiotics in children is frequent. The establishment of off-label evaluation system of antibiotics is of great significance to improve the management level of antibiotics in children. Method/Process Based on natural language processing technology and deep learning algorithm, an off-label evaluation system for antimicrobials was built to conduct post-structured processing of hospital electronic medical record data, and the similarity between clinical entity information and medication rules was compared to realize the deep integration of antibiotic medication evaluation and electronic medical record. Result/Conclusion This system evaluated the drug use of 37,372 children, providing an effective reference for clinicians to make decisions on antibiotic use, and meeting the requirements of hospitals for off-label administration of antibiotics in children.

  Key words: Antimicrobial management; Clinically assisted decision making; Natural language processing

  Submit time: 29 November 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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