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

Public Health Data Analytics (82) Decision Support for Health Professionals (1185)

Published on in Vol 9, No 3 (2017):

Pediatricians’ Understanding and Experiences of an Electronic Clinical-Decision-Support-System

Pediatricians’ Understanding and Experiences of an Electronic Clinical-Decision-Support-System

Pediatricians’ Understanding and Experiences of an Electronic Clinical-Decision-Support-System

Authors of this article:

Per Nydert1 ;   Anikó Vég2 ;   Pia Bastholm-Rahmner1 ;   Synnöve Lindemalm1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (4) Tweetations (1) Metrics

Journals

  1. Lambert S, Madi M, Sopka S, Lenes A, Stange H, Buszello C, Stephan A. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digital Medicine 2023;6(1) View
  2. Wulff A, Montag S, Rübsamen N, Dziuba F, Marschollek M, Beerbaum P, Karch A, Jack T. Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children. BMC Medical Informatics and Decision Making 2021;21(1) View
  3. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
  4. Botha N, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F, Lasim O, Ansah E. Artificial intelligence in healthcare: a scoping review of perceived threats to patient rights and safety. Archives of Public Health 2024;82(1) View