Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care - 15/05/25
, Zehurn Ong, MD a, Chandana Wijeweera, MD b, Terence Carney, PhD c, Robyn Clay-Williams, BEng, PhD d, Denuka Kankanamge, BBMedSci, MD a, Tamara Preda, BSc(Med), MBBS, FRACS, MMedSurg e, Ioannis Kopsidas, MD, PhD f, Michael Keith Wilson, MD, FRACS a, cResumen |
Background |
Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between health care workers (HCWs), patients, and staff. The COVID-19 pandemic highlighted a problematic skill gap in effective PPE donning/doffing.
Methods |
We performed a single-center, mixed-methods, prospective cohort study of 293 HCWs in Sydney, Australia. Participants were assessed using SXR AI-PPE, an artificial intelligence (AI) system that autonomously evaluates donning/doffing of PPE while providing real-time feedback on user technique.
Results |
Longitudinal results showed improved accuracy rates for correct donning/doffing after each guided session conducted at 3-monthly intervals, with a 100% accuracy rate for correct use of PPE after 2 guided sessions. These improvements were maintained with 3-monthly training sessions.
Conclusions |
The SXR AI-PPE platform is a comprehensive tool capable of training PPE donning/doffing by HCWs in real time with implications for reducing PPE contamination and risk of nosocomial infections.
El texto completo de este artículo está disponible en PDF.Highlights |
• | AI-SXR AI-PPE can upskill health care workers to reduce error and improve self-efficacy for correct PPE use. |
• | AI-PPE platforms represent a primary prevention that is low cost, replicable, and widely adoptable. |
• | SXR AI-PPE and similar AI-PPE platforms may have broad applications outside of the health care setting for OHS standards requiring correct PPE use. |
Key Words : Infection prevention, Nosocomial infections, Personal protective equipment
Esquema
| Conflicts of interest: There are no conflicts of interest to declare for authors VP, ZO, CW, DK, TP, RCW, IK. Authors MW and TC are the inventors of the SXR-AI-PPE platform who provided the platform for use. |
Vol 53 - N° 6
P. 678-684 - juin 2025 Regresar al número
Artículo precedente
- Quantifying the progressing landscape of infection preventionists: A survey-based analysis of workload and resource needs
- Brenna Doran, Jessica Swain, Shanina Knighton
- Morbidity and absenteeism due to SARS-CoV-2 and seasonal influenza in health care personnel during the 2023 to 2024 season: A multicenter cohort study in Greece
- Helena C. Maltezou, Maria N. Gamaletsou, Theodoros V. Giannouchos, Dimitra-Maria Koukou, Flora Sourri, Nikolaos Lemonakis, Amalia Karapanou, Sofia Zerva, Athanasia Lourida, Periklis Panagopoulos, Dimitrios Hatzigeorgiou, Nikolaos V. Sipsas
Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
El acceso al texto completo de este artículo requiere una suscripción.
¿Ya suscrito a @@106933@@ revista ?