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Does AI know how to choose wisely? Do not trust and definitely verify when using generative AI in stewardship
Amy V Dora1, Lawrence N Benjamin2,3, Christopher J Graber1,3
1Infectious Diseases Section, https://ror.org/05xcarb80VA Greater Los Angeles Healthcare System, Los Angeles, USA.
Artificial intelligence (AI) can enhance antimicrobial stewardship programs (ASP) by aiding guideline development and cost-effectiveness analysis. However, careful consideration of AI
Area of Science:
- Healthcare Management
- Infectious Diseases
- Medical Informatics
Background:
- Antimicrobial stewardship programs (ASP) are crucial for healthcare institutions.
- Optimizing ASP requires efficient guideline development and resource allocation.
Purpose of the Study:
- To explore the practical application of artificial intelligence (AI) in antimicrobial stewardship programs (ASP).
- To assess the benefits and challenges of integrating AI into ASP for guideline creation and cost-effectiveness analysis.
Main Methods:
- This commentary examines a real-world implementation of AI within an ASP.
- It analyzes AI's role in developing institutional guidelines and performing cost-effectiveness evaluations.
Main Results:
- AI demonstrates potential in supporting guideline development and cost-effectiveness analysis for ASP.
- The commentary highlights the need for caution when implementing AI in stewardship initiatives.
Conclusions:
- AI offers significant advantages for antimicrobial stewardship programs.
- Careful implementation and oversight are essential to mitigate potential pitfalls of AI in ASP.
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