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

Viewpoints on and Experiences with Digital Technologies in Health (105) Decision Support for Health Professionals (1594) eHealth Infrastructures (434) Electronic Health Records (1354) Clinical Information and Decision Making (2007) Clinical Informatics (1381) Organizational Issues (231) Knowledge Translation and Implementation Science (548)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60402, first published .
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

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

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

Authors of this article:

Manasha Fernando1 Author Orcid Image ;   Bridget Abell1 Author Orcid Image ;   Steven M McPhail1, 2 Author Orcid Image ;   Zephanie Tyack1 Author Orcid Image ;   Amina Tariq1 Author Orcid Image ;   Sundresan Naicker1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  5. Naicker S, Schmidt P, Shar B, Tariq A, Earnshaw A, McPhail S. Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework. Journal of Medical Internet Research 2026;28:e80342 View
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