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Internal MedicineStudy2 min read · distilled by Vetree AI

From Risk to Resilience: A Narrative Review on Strengthening Veterinary Clinical Biosecurity to Prevent Healthcare-Associated Infections.

Dhaka P, Vijay D, Makovska I, Yadav JP, Bedi JS, Gill JPS, Dewulf J · Veterinary Journal · 21 April 2026

Clinical bottom line

Implement systematic biosecurity frameworks combining hand hygiene, HACCP principles, and AI surveillance tools.

Summary

This narrative review provides evidence-based strategies for strengthening veterinary clinical biosecurity to prevent healthcare-associated infections (HAIs). The authors emphasize that veterinary clinics face heightened HAI risks due to patient turnover, species mixing, close animal contact, and immunocompromised patients. The review systematically outlines core biosecurity principles: bio-exclusion, bio-containment, and procedural hygiene. Key recommendations include implementing rigorous hand hygiene protocols, establishing proper cleaning and disinfection procedures, and integrating Hazard Analysis and Critical Control Points (HACCP) principles with continuous Plan-Do-Check-Act (PDCA) cycles for quality improvement. The authors advocate for systematic monitoring through compliance scoring systems and standardized checklists to ensure adherence to biosecurity protocols. Notably, the review proposes innovative applications of artificial intelligence for predictive analytics and real-time pathogen surveillance to enable early outbreak detection. The authors also recognize resource limitations in veterinary practice, providing tailored, practical biosecurity strategies adaptable to diverse operational environments. By combining scientific rigor with practical applicability, this review offers actionable guidelines to effectively mitigate HAIs and improve animal welfare while safeguarding public health.

Internal MedicineSmall AnimalLarge AnimalEmergency

This summary was distilled by AI and may occasionally misinterpret data. Confirm critical details with the primary literature before clinical application.