Artificial Intelligence Meets Antibiotics: Is this a Match Made in...
The use of Artificial Intelligence (AI) in antimicrobial stewardship has been a topic of interest in recent studies. Machine learning algorithms, a form of AI, have shown effectiveness in various tasks related to antibiotics, such as selecting the appropriate antibiotic, identifying instances of inappropriate prescribing, and predicting patterns of antibiotic resistance.
Despite the advancements in AI technology, it is important to note that human experts in infectious diseases (ID) still outperform AI in complex clinical decision-making processes. While AI can provide valuable support to antimicrobial stewardship programs, it cannot entirely replace the expertise and experience of ID specialists.
Benefits and Challenges of AI in Antimicrobial Stewardship
As AI continues to evolve, it is crucial for antibiotic stewards to understand both the potential benefits and limitations of integrating AI into clinical practice. Thoughtful incorporation of AI into ID practice can enhance antimicrobial stewardship programs and improve patient outcomes.
This review highlights the role of AI in antimicrobial stewardship and emphasizes the importance of leveraging AI to complement the expertise of ID specialists. While AI has demonstrated promise in various aspects of antimicrobial stewardship, its role remains supplementary to the nuanced decision-making skills of human experts.
For further information on this topic, please refer to the following resources:
- Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America Guidelines for Developing an Institutional Program to Enhance Antimicrobial Stewardship
- Core Elements of Antibiotic Stewardship by the CDC
- Demystifying Artificial Intelligence in Pharmacy
It is evident that AI has the potential to revolutionize antimicrobial stewardship practices. By combining the strengths of AI technology with human expertise, healthcare providers can enhance antimicrobial stewardship efforts and ultimately improve patient care.
