BSAC Vanguard Series: Artificial intelligence and antibiotic stewardship
1Stanford University Division of Infectious Disease & Geographic Medicine, 300 Pasteur Dr., L-134, Stanford, CA 94305, USA.
The Journal of Antimicrobial Chemotherapy
|March 31, 2022
Summary
Antimicrobial stewardship programs face challenges in practice. Artificial intelligence (AI) offers a future opportunity for personalized antibiotic prescribing recommendations, optimizing treatment and combating resistance.
Area of Science:
- Infectious Diseases
- Medical Informatics
- Pharmacology
Background:
- Antimicrobial resistance is a growing global threat.
- Effective antimicrobial stewardship is crucial but challenging for frontline providers.
- Current resources for antibiotic selection lack patient-specific customization.
Purpose of the Study:
- To explore the potential of artificial intelligence (AI) in enhancing antimicrobial stewardship.
- To propose AI-driven, individualized, real-time recommendations for antibiotic prescribing.
- To address the limitations of current stewardship resources.
Main Methods:
- Conceptual exploration of AI applications in antimicrobial stewardship.
- Discussion of the need for personalized clinical decision support.
- Envisioning future AI-driven tools for optimizing antibiotic selection.
Main Results:
- AI may provide individualized, real-time recommendations for antibiotic choices.
- AI can help providers select narrower-spectrum antibiotics when appropriate.
- Overcoming the challenges of pending culture data and sepsis mortality risk.
Conclusions:
- AI presents a unique opportunity to personalize antimicrobial stewardship.
- Future AI advancements could lead to optimized antibiotic prescribing within a decade.
- Personalized clinical decision support tools are a promising development for combating antimicrobial resistance.
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