How AI-supported intelligent systems support infection prevention and control training in healthcare: A systematic review of educational functions and outcomes.

Ha-Young Park; Yoojin Kim

doi:10.1016/j.nedt.2026.107315

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How AI-supported intelligent systems support infection prevention and control training in healthcare: A systematic review of educational functions and outcomes.

Ha-Young Park·Yoojin Kim

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Abstract

AIMS: Artificial intelligence (AI)-supported intelligent systems have been increasingly incorporated into infection prevention and control (IPC) education and training, primarily to support the monitoring of observable behaviors and the provision of feedback. However, existing evidence has focused largely on short-term compliance outcomes, with limited synthesis of the educational role of AI-supported intelligent systems in supporting sustained IPC competence. This systematic review examined how AI-supported intelligent systems have been designed and used to support IPC education and training, with a focus on system characteristics, educational functions, and reported outcomes. DESIGN: A systematic literature search was conducted across the PubMed/MEDLINE, Embase, Cochrane, and CINAHL databases. DATA SOURCES: A total of 18 studies met the inclusion criteria. Findings were qualitatively synthesized according to system design characteristics, educational functions, and outcome domains. REVIEW METHODS: Methodological quality was appraised using the Mixed Methods Appraisal Tool. RESULTS: Most AI-supported intelligent systems focused on hand hygiene and relied on fully automated monitoring systems to capture behaviors and provide performance feedback. Educational functions were predominantly limited to performance assessment, automated feedback, and reminders. Outcomes were mainly measured using compliance or performance metrics, whereas sustained behavioral change and decision quality were rarely assessed. CONCLUSIONS: AI-supported intelligent systems have been used primarily to reinforce short-term IPC performance and compliance. However, their current applications for supporting sustained competence over time remain limited. The findings of this review suggest that AI-supported intelligent systems may serve as maintenance-oriented educational support by extending learning beyond initial instruction through repeated practice and feedback. Future research should prioritize outcome measures that capture the durability of performance and decision-making processes to better align AI-supported intelligent systems used in IPC education and training with the educational demands of clinical practice.

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Humans Artificial Intelligence Infection Control Clinical Competence Artificial intelligence Clinical competence Education Hand hygiene Infection prevention and control Systematic review Systematic Review Journal Article Review

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Ha-Young Park, Yoojin Kim. 2026-07-30. How AI-supported intelligent systems support infection prevention and control training in healthcare: A systematic review of educational functions and outcomes.. https://doi.org/10.1016/j.nedt.2026.107315

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Artificial Intelligence subject Clinical Competence subject Education subject Hand hygiene subject Humans subject Infection Control subject Infection prevention and control subject Journal Article subject Systematic Review; Journal Article; Review resource Systematic reviews study

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