Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics.

Journal: The Journal of hospital infection
Published Date:

Abstract

BACKGROUND: Various technologies have been developed to improve hand hygiene (HH) compliance in inpatient settings; however, little is known about the feasibility of machine learning technology for this purpose in outpatient clinics.

Authors

  • R Geilleit
    Medical Innovation and Care Transformation, KK Women's and Children's Hospital, SingHealth Duke - NUS Academic Medical Centre, Singapore; Radboud Institute for Health Sciences, Scientific Centre for Quality of Healthcare (IQ Healthcare), Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Z Q Hen
    Medical Innovation and Care Transformation, KK Women's and Children's Hospital, SingHealth Duke - NUS Academic Medical Centre, Singapore.
  • C Y Chong
    Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore; Paediatrics Academic Medical Program, Duke-NUS Medical School, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • A P Loh
    Department of Biomedical Engineering, National University Singapore, Singapore.
  • N L Pang
    Quality, Safety and Risk Management, KK Women's and Children's Hospital, Singapore.
  • G M Peterson
    Health Services Innovation, School of Medicine, University of Tasmania, Australia.
  • K C Ng
    Medical Innovation and Care Transformation, KK Women's and Children's Hospital, SingHealth Duke - NUS Academic Medical Centre, Singapore.
  • A Huis
    Radboud Institute for Health Sciences, Scientific Centre for Quality of Healthcare (IQ Healthcare), Radboud University Medical Centre, Nijmegen, The Netherlands.
  • D F de Korne
    Medical Innovation and Care Transformation, KK Women's and Children's Hospital, SingHealth Duke - NUS Academic Medical Centre, Singapore; Erasmus School of Health Policy and Management, Erasmus University Rotterdam, The Netherlands; Health Services and Systems Research, Duke-NUS Medical School, Singapore. Electronic address: dirk.de.korne@kkh.com.sg.