Authors: (including presenting author): :
Kwan WY(1), Pang WY(2), Chung CFJ(2), Shum R(1).
Affiliation: :
(1) Infection Control Team, Tseung Kwan O Hospital.
(2) Department of Medicine, Tseung Kwan O Hospital.
Keyword 1: :
Hand hygiene
Keyword 3: :
AI technology
Keyword 4: :
Infection control
Keyword 5: :
Multidrug-resistant organisms (MDRO)
Introduction: :
Hand hygiene (HH) remains the most effective measure to prevent healthcare-associated infections, but the compliance rates in some wards fall below hospital targets. Traditional training methods often lack objectivity in assessing technique and identifying weak points. To address this, a new AI-powered HH training machine was introduced, capable of analyzing staff performance in real time and providing standardized, data-driven feedback. This program aims to enhance HH compliance, reduce MDRO transmission, and establish a sustainable training framework for all clinical staff.
Objectives: :
-Improve HH compliance rates in wards. -Standardize training steps using AI-driven assessment tools. -Objectively analyze compliance data to identify common weak points and guide targeted interventions.
Methodology: :
After literature review, the HH Improvement Program targeted clinical staff in wards with suboptimal compliance. Training was delivered through structured face‑to‑face sessions, followed by return demonstrations using an AI‑powered HH training machine. The machine objectively assessed technique, duration, and coverage, providing immediate feedback to staff and generating compliance data for analysis. This data was used to identify common weak points, such as missed hand areas, and to refine training interventions. Compliance trends were monitored continuously, enabling targeted reinforcement and standardized training steps to ensure consistent practice across both new and existing staff.
Result & Outcome: :
The introduction of the AI‑powered HH training machine led to measurable improvements in compliance across targeted wards. Preliminary monitoring showed HH compliance rates rising from below target to above 90%, with staff demonstrating more accurate technique and complete coverage. Objective data analysis revealed common weak points, which were corrected through targeted retraining. Staff feedback highlighted the value of immediate AI feedback in building confidence and consistency. The observed reduction in new MDRO cases suggests that improved HH performance has directly reinforced patient safety and strengthened infection‑control outcomes.
