Advancing infection prevention and control through artificial intelligence: a scoping review of applications, barriers, and a decision-support checklist.

ABSTRACT:

Objective

To examine how artificial intelligence (AI) has been applied to infection prevention and control in healthcare, identify barriers and risks affecting implementation, and develop a structured checklist to support safe adoption.

Design

Scoping review conducted in line with Joanna Briggs Institute methodology and reported according to PRISMA-ScR.

Methods

PubMed, Scopus, and Web of Science were searched for primary studies (2014-2024) describing real-world AI applications for IPC. Studies reporting implementation experiences, outcomes, or risks were included. Data on study design, AI type, IPC function, integration level, barriers, and outcomes were extracted and synthesized thematically to derive a 41-item decision-support checklist.

Results

Of 2,143 rec

SUBMITTER: Gastaldi S 

PROVIDER: S-EPMC12722576 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature