Published on in Vol 9, No 11 (2020): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24899, first published
.
Journals
- Oddiri U, Propper G, Brill P, Reid B, Giarraputo D, Milana C. Early Identification of Severe Sepsis in Pediatric Patients Using an Electronic Alert System. Hospital Pediatrics 2023;13(2):174 View
- Ackermann K, Baker J, Green M, Fullick M, Varinli H, Westbrook J, Li L. Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review. Journal of Medical Internet Research 2022;24(2):e31083 View
- Siddiqi D, Ali R, Shah M, Dharma V, Khan A, Roy T, Chandir S. Evaluation of a Mobile-Based Immunization Decision Support System for Scheduling Age-Appropriate Vaccine Schedules for Children Younger Than 2 Years in Pakistan and Bangladesh: Lessons From a Multisite, Mixed Methods Study. JMIR Pediatrics and Parenting 2023;6:e40269 View
- Tennant R, Graham J, Mercer K, Ansermino J, Burns C. Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol. BMJ Open 2022;12(11):e065429 View
- Ackermann K, Baker J, Festa M, McMullan B, Westbrook J, Li L. Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review. JMIR Medical Informatics 2022;10(5):e35061 View
- Tennant R, Graham J, Kern J, Mercer K, Ansermino J, Burns C. A scoping review on pediatric sepsis prediction technologies in healthcare. npj Digital Medicine 2024;7(1) View
Books/Policy Documents
- García-Alcaraz J, Sánchez-Ramírez C, Díaz-Reza J, Avelar-Sosa L, Puig-i-Vidal R. Handbook on Decision Making. View