This paper is in the following e-collection/theme issue:

Digital Health Reviews (1326) Decision Support for Health Professionals (1210) Clinical Informatics (1050) Electronic Health Records (1068) Clinical Information and Decision Making (1434)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31083, first published .
Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review

Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review

Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review

Authors of this article:

Khalia Ackermann1 Author Orcid Image ;   Jannah Baker1 Author Orcid Image ;   Malcolm Green2 Author Orcid Image ;   Mary Fullick2 Author Orcid Image ;   Hilal Varinli3 Author Orcid Image ;   Johanna Westbrook1 Author Orcid Image ;   Ling Li1 Author Orcid Image
Article Authors Cited by (9) Tweetations (18) Metrics

Khalia Ackermann   1 , MPH ;   Jannah Baker   1 , PhD ;   Malcolm Green   2 , MN ;   Mary Fullick   2 , BHealthSc ;   Hilal Varinli   3 , PhD ;   Johanna Westbrook   1 , PhD ;   Ling Li   1 , PhD

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

2 Clinical Excellence Commission, Sydney, Australia

3 eHealth New South Wales, Sydney, Australia

Corresponding Author:

  • Khalia Ackermann, MPH
  • Centre for Health Systems and Safety Research
  • Australian Institute of Health Innovation
  • Level 6, Talavera road
  • Macquarie University, 2109
  • Australia
  • Phone: 61 2 9850 2432
  • Email: khalia.ackermann@mq.edu.au