AI-driven Clinical Decision Support Systems for Antibiotic Stewardship: Develops AI-driven clinical decision support systems for antibiotic stewardship, promoting appropriate antibiotic use and combating antimicrobial resistance in healthcare settings

Authors

  • Dr. Yannis Papadopoulos Professor of Artificial Intelligence, University of Crete, Greece Author

Keywords:

Antibiotic stewardship, Clinical decision support systems, Artificial intelligence, Machine learning, Antimicrobial resistance

Abstract

Antimicrobial resistance (AMR) poses a significant threat to global public health, with inappropriate antibiotic use being a major contributing factor. Antibiotic stewardship programs aim to optimize antibiotic use to reduce AMR. This paper proposes the development of AI-driven clinical decision support systems (CDSS) for antibiotic stewardship, leveraging machine learning algorithms to analyze patient data and provide clinicians with personalized recommendations for antibiotic therapy. The CDSS aims to improve clinical outcomes, reduce healthcare costs, and combat AMR by promoting appropriate antibiotic prescribing practices.

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Published

09-05-2024

How to Cite

[1]
D. Y. Papadopoulos, “AI-driven Clinical Decision Support Systems for Antibiotic Stewardship: Develops AI-driven clinical decision support systems for antibiotic stewardship, promoting appropriate antibiotic use and combating antimicrobial resistance in healthcare settings”, J. of Artificial Int. Research and App., vol. 4, no. 1, pp. 159–169, May 2024, Accessed: Dec. 25, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/31

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