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

Digital Health Reviews (1289) Clinical Information and Decision Making (1407) Adoption and Change Management of eHealth Systems (712) Theoretical Frameworks and Concepts (252) Decision Support for Health Professionals (1185) Clinical Informatics (1022) Knowledge Translation and Implementation Science (398)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45163, first published .
Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review

Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review

Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review

Authors of this article:

Manasha Fernando1 Author Orcid Image ;   Bridget Abell1 Author Orcid Image ;   Zephanie Tyack1 Author Orcid Image ;   Thomasina Donovan1 Author Orcid Image ;   Steven M McPhail1, 2 Author Orcid Image ;   Sundresan Naicker1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Fernando M, Abell B, McPhail S, Tyack Z, Tariq A, Naicker S. Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study. JMIR Medical Informatics 2024;12:e60402 View
  2. Black A, Naicker S, Tariq A, Le P, Donovan R, Jones M, Canaris S, Warne R, Ballantine C, McPhail S. Applying Experienced-Based Co-Design principles to improve digital health demand management processes in a large metropolitan multi-hospital health system. Health Policy and Technology 2024;13(4):100905 View
  3. Xu Z, Evans L, Song J, Chae S, Davoudi A, Bowles K, McDonald M, Topaz M. Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning. Journal of the American Medical Informatics Association 2024;31(11):2641 View