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

Reviews in Medical Informatics (93) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Quality Improvement (253) Secondary Use of Clinical Data for Research and Surveillance (366) Clinical Information and Decision Making (1407) Registered Report (560)

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

Authors of this article:

Khalia Ackermann1 Author Orcid Image ;   Jannah Baker1 Author Orcid Image ;   Marino Festa2 Author Orcid Image ;   Brendan McMullan3, 4 Author Orcid Image ;   Johanna Westbrook1 Author Orcid Image ;   Ling Li1 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Sanchez-Pinto L, del Pilar Arias López M, Scott H, Gibbons K, Moor M, Watson R, Wiens M, Schlapbach L, Bennett T. Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world. The Lancet Digital Health 2024;6(9):e651 View