August 2, 2025Proceedings of the AAAI Symposium Series

Strategic Integration of Artificial Intelligence in Healthcare: Theoretical Frameworks, Adoption, Enablers, and Barriers — A Scoping Review

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Authors

MOMaurice OngalaStrathmore University RKRuth KirakaStrathmore University JCJyoti ChoudrieUniversity of Hertfordshire

Discussion

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Implication

Scoping review identifies enablers and barriers to AI adoption in healthcare, suggesting improved integration through strategic management and user acceptance.

Key Points

MAIN FINDING: The integration of AI in healthcare requires a balance between strategic management and user-centered design principles.
KEY EVIDENCE: Strong facilitators for AI adoption include leadership endorsement and robust institutional support, yet ethical considerations remain a concern.
APPROACH: The review evaluates 327 articles, synthesizing findings related to theoretical frameworks, enablers, and barriers to AI adoption.
SIGNIFICANCE: Incorporating strategic management theories can enhance ethical standards and improve clinical outcomes through AI solutions.

Cite This Study

Ongala et al. (2025) studied this question.

synapsesocial.com/papers/689a0c72e6551bb0af8d00ab https://doi.org/10.1609/aaaiss.v6i1.36066

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Implication

Scoping review identifies enablers and barriers to AI adoption in healthcare, suggesting improved integration through strategic management and user acceptance.

Strategic Integration of Artificial Intelligence in Healthcare: Theoretical Frameworks, Adoption, Enablers, and Barriers — A Scoping Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Strategic Integration of Artificial Intelligence in Healthcare: Theoretical Frameworks, Adoption, Enablers, and Barriers — A Scoping Review

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider