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Review
. 2024 Jan 31;11(3):ofae053.
doi: 10.1093/ofid/ofae053. eCollection 2024 Mar.

Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence: What This Means for Us and What We Can Do About It

Bradley J Langford  1   2 , Westyn Branch-Elliman  3   4   5 , Priya Nori  6 , Alexandre R Marra  7   8 , Gonzalo Bearman  9
Affiliations
Review

Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence: What This Means for Us and What We Can Do About It

Bradley J Langford et al. Open Forum Infect Dis. .

Abstract

With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID) faces both innovation and disruption. AI and its subfields including machine learning, deep learning, and large language models can support ID clinicians' decision making and streamline their workflow. AI models may help ensure earlier detection of disease, more personalized empiric treatment recommendations, and allocation of human resources to support higher-yield antimicrobial stewardship and infection prevention strategies. AI is unlikely to replace the role of ID experts, but could instead augment it. However, its limitations will need to be carefully addressed and mitigated to ensure safe and effective implementation. ID experts can be engaged in AI implementation by participating in training and education, identifying use cases for AI to help improve patient care, designing, validating and evaluating algorithms, and continuing to advocate for their vital role in patient care.

Keywords: antimicrobial stewardship; artificial intelligence; infection control; infectious diseases; workforce.

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Conflict of interest statement

Potential conflicts of interest. All authors: No reported conflicts.

Figures

Figure 1.
Figure 1.
Artificial intelligence (AI) disruptions and proposed infectious diseases (ID) workforce adaptations.
See this image and copyright information in PMC

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