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 .
Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

Journals

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

Books/Policy Documents

  1. García-Alcaraz J, Sánchez-Ramírez C, Díaz-Reza J, Avelar-Sosa L, Puig-i-Vidal R. Handbook on Decision Making. View