MY-RGS
Project Title: Infection Control Management Through the Integration of Conventional Antimicrobial Resistance Surveillance, Advance Biopsychosocial Assessment and Machine Learning Approaches
Digital health technologies are playing an increasingly vital role in microbiology research, revolutionizing how scientists study and combat infectious diseases. Eye tracking is a technology used to measure and record the movements of a person's eyes. More recently, eye tracking technology has been widely used in research field especially in hospital to monitor the gaze behavior during a range of activities. This technology has been utilized to observe the practice of HCW during their routine patient care and to study the movements of eyes during a range of activities to provide better understanding in the cognitive processes. We utilised this eye tracking to monitor hand hygiene compliance of HCWs with WHO 5 moments hand hygiene technique and compare with direct observation by trained auditors. It could overcome the observation bias during audit and reveal information which conventional observation normally miss and avoid Hawthorne effect.
Researchers: Assoc Prof Dr Cindy Teh Shuan Ju(1), Assoc Prof Dr Chong Chun Wie(2), Dr Unaizah Obaidellah(3), Dr Azmiza Syazwani Jasni(4), Dr Michelle Lee Chin Chin(5), Lau Min Yi(1)
Affiliation:
Department of Medical Microbiology, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
School of Pharmacy, Monash University Malaysia, 47500 Bandar Sunway, Selangor, Malaysia
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Jalan Universiti 1, 43400 Serdang, Selangor
Massey University, Palmerston North, New Zealand