Published on in Vol 10 , No 5 (2022) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35061, first published .
Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review

Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review

Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review

Khalia Ackermann   1 , MPH ;   Jannah Baker   1 , PhD ;   Marino Festa   2 , MD(Res) ;   Brendan McMullan   3, 4 , PhD ;   Johanna Westbrook   1 , PhD ;   Ling Li   1 , PhD

1 Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, AU

2 Kids Critical Care Research, Department of Paediatric Intensive Care, Children's Hospital at Westmead, Sydney, AU

3 Department of Immunology and Infectious Diseases, Sydney Children's Hospital, Randwick, Sydney, AU

4 Faculty of Medicine & Health, University of New South Wales, Sydney, AU

Corresponding Author:

  • Khalia Ackermann, MPH
  • Centre for Health Systems and Safety Research
  • Australian Institute of Health Innovation
  • Level 6, 75 Talavera road
  • Macquarie University
  • AU
  • Phone: 61 2 9850 2432
  • Email: khalia.ackermann@mq.edu.au