# The Infectious Diseases Orchestrator: Embracing AI Literacy in the Agentic Era

**Authors:** John J Hanna, Richard J Medford

PMC · DOI: 10.1093/ofid/ofaf794 · Open Forum Infectious Diseases · 2025-12-26

## TL;DR

This paper argues that infectious disease clinicians must actively embrace AI literacy to shape its responsible use in healthcare, rather than passively adopting it.

## Contribution

The paper introduces a call to action for infectious disease specialists to lead in AI governance and education for responsible integration.

## Key findings

- ID clinicians risk becoming passive adopters of AI if they do not actively engage in its design and governance.
- AI literacy is positioned as a critical investment to ensure AI supports and enhances clinical care.
- ID communities should lead in education and interdisciplinary collaboration to guide AI integration.

## Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, with agentic AI systems positioned to perceive, reason, and act within clinical environments. For infectious diseases (ID) clinicians, agentic AI presents both opportunity and imperative; to embrace AI literacy and remain actively engaged in shaping their design rather than becoming passive adopters in clinical care, antimicrobial stewardship, and infection control. Historical examples show that professions failing to adapt to automation faced challenges, highlighting the urgency for ID specialists to understand AI's evolving role. While AI can streamline documentation, surveillance, and decision support, clinicians must advocate for high-quality data, define appropriate automation boundaries, and ensure human oversight in critical decisions. ID communities should lead efforts to educate clinicians, establish AI governance policies in ID operational practices, and foster interdisciplinary collaboration to guide responsible AI integration. AI literacy is the “no-regret” investment that will enable clinicians to lead this transformation—ensuring that AI supports, augments, and, when appropriate, automates the repetitive, searchable, and time-consuming tasks. The future of ID practice will be defined by how effectively clinicians leverage AI to enhance care, promote equitable access, and reclaim time for the human dimensions of medicine.

Infectious diseases faces a critical juncture as agentic artificial intelligence (AI) systems emerge, bringing both promise and the risk of passive adoption. This article calls for proactive AI literacy and provides strategies for ID specialists to prepare for responsible integration, while urging ID communities to lead through education, interdisciplinary collaboration, and governance.

## Full-text entities

- **Diseases:** ID (MESH:D003141), infection (MESH:D007239)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC12772196/full.md

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Source: https://tomesphere.com/paper/PMC12772196