Related Experiment Video
Updated: Jan 7, 2026
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Advancing infection prevention and control through artificial intelligence: a scoping review of applications,
Silvana Gastaldi1, Ermira Tartari2, Giovanni Satta3
1Department of Infectious Diseases, Epidemiology, Biostatistics and Mathematical Modeling Unit (EPI) Istituto Superiore di Sanità, Italy.
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 records screened, 100 studies met inclusion. Most were published since 2022, with the United States and China leading output. Machine learning dominated (75%), mainly for predictive analytics (53%), HAI detection (13%), and hand hygiene monitoring (13%). Only 15% of tools were integrated into existing digital infrastructures. Barriers centred on data quality (45%), technical and data related (16%), and economic/technical constraints (16%). Reported risks clustered around operational failures (35%), technical errors (33%), and data security (12%). Evidence was heavily skewed toward high-income countries, with limited prospective validation or implementation science.
Conclusions:
AI offers clear promise for IPC, particularly in early detection and compliance monitoring, but its translation into practice remains constrained by data fragmentation, limited integration, and uneven readiness across settings. Our evidence-informed checklist provides IPC teams with a structured tool to assess feasibility, governance, and resource needs before adoption, supporting safer and sustainable innovation.
Related Concept Videos
01:22Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
01:29Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
01:27Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
01:26Standard Precaution
Hand hygiene is the most crucial means to prevent the transmission of disease. Employers are legally required to provide their workers with personal protective equipment (PPE) to minimize exposure or contact with...
01:30Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:26Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.