Artificial intelligence utilization, perceptions, and readiness within the infection prevention workforce: Findings from the 2025 APIC MegaSurvey.

BACKGROUND

The advent of artificial intelligence (AI) presents an opportunity to enhance infection prevention practices. However, its use among infection preventionists (IP) remains unknown.

METHODS

We analyzed responses from IPs participating in the 2025 APIC MegaSurvey to assess (1) current utilization of AI, (2) familiarity and perceived usefulness of AI, (3) organizational readiness, (4) barriers, and (5) training and support needs.

RESULTS

A total of 4,269 IPs participated in the survey, of whom 3,220 participants responded to the AI section. Among respondents, 12.6% (n = 404) reported using AI. Of those who use AI, 65.7% (n = 266) used generative AI tools such as ChatGPT to draft policies, educational content, or to synthesize research, followed by AI-powered chatbots to support triage or deliver staff education (35.6%, n = 144), risk stratification (32.8%, n = 133), and predictive modeling (21.7%, n = 88). Most respondents perceived AI as useful (80%, n = 2,657) and were interested in learning more (n = 2,413, 74.9%). Lack of organizational readiness, limited access, concerns about accuracy, data privacy, and job displacement were among the barriers identified.

DISCUSSION: AI use among IPs remains low, despite interest and perceived value. There remain concerns about accuracy, data privacy, and job displacement.

CONCLUSIONS

Findings highlight a gap between interest in AI and its integration into IP practice. Efforts to improve training, access, and organizational readiness will be essential to support safe and effective adoption.