Abstract
Background: Healthcare-associated infections (HAIs) and multidrug-resistant organisms (MDROs) represent a major threat to patient safety and healthcare system sustainability. Prevention requires integrated, real-time, multidisciplinary approaches.
Objective: To describe the design, implementation, and preliminary evaluation of a digitalized Diagnostic-Therapeutic-Assistance Pathway (PDTA) for direct surveillance of MDROs/alert organisms, integrating artificial intelligence, electronic health records, and mobile audit tools within a provincial hospital network.
Methods: The pathway was developed by the Hospital Infection Control Committee (CC-ICA) of ASP Ragusa (Italy), involving all clinical units, the microbiology laboratory, territorial services, and general practitioners. The PDTA includes: (1) admission risk stratification; (2) electronic prescription with clinical decision support; (3) automated laboratory alerts (MALDI-TOF, PCR); (4) real-time notification and isolation activation; (5) AI-assisted case analysis and contact tracing; (6) on-site verification with digital checklists; (7) post-discharge follow-up; and (8) monthly clinical audit. The system is supported by an integrated IT architecture (Modulab 2.0, ICA-Tracker Platform, Mobile Audit App, multichannel alert system) with full GDPR compliance. Indicators were monitored from March 2025 to March 2026 across all 8 hospital units.
Results: During the 12-month observation period: mean laboratory-to-unit notification time decreased from 6.2 to 2.8 hours (p<0.001); isolation compliance improved from 78% to 96%; the electronic alert registry reached 100% completeness; on-site verification was performed within 24 hours in 98% of cases; MDRO transmission rate decreased by 28% (from 3.2 to 2.3 episodes/1,000 patient-days; p=0.018); broad-spectrum antibiotic consumption decreased by 22% (p<0.001); and user satisfaction scored 4.3/5. The system adoption rate was 92%.
Conclusions: A digitalized, multidisciplinary PDTA significantly improves HAI surveillance, reduces MDRO transmission, enhances antimicrobial stewardship, and increases process compliance. This model is replicable and scalable in other regional and national healthcare settings.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Angela D'Arrigo, Giuseppe Drago, Sara Lanza, Giuseppe Algieri, Giuseppe Smecca
