Publication

Assessing Equitable Development and Implementation of AI-Enabled Patient Engagement Technologies: A Sociotechnical Systems Approach

Assessing Equitable Development and Implementation of AI-Enabled Patient Engagement Technologies: A Sociotechnical Systems Approach

February 28, 2025

Summary:

This article discusses the equitable development and implementation of AI-enabled Patient Engagement Technologies (PET) using a sociotechnical systems approach. The article emphasizes the importance of considering both technical and social factors during the development and implementation stages. It highlights the need for a diverse team in technology development, data validation, and the incorporation of assistive design principles. The article also provides questions for health system leaders to consider before adopting novel technologies, focusing on accessibility, development, and implementation. The findings suggest that AI-enabled PET, when thoughtfully deployed, can contribute to health systems' pursuit of improved quality, greater efficiency, and lower cost.

Citation(s):

Citation - Wiljeana Glover, Marina Renton, Hanna Minaye, Olabisi Dabiri,
Assessing Equitable Development and Implementation of Artificial Intelligence-Enabled Patient Engagement Technologies: A Sociotechnical Systems Approach,
Mayo Clinic Proceedings: Digital Health,
Volume 3, Issue 1,
2025,
100192,
ISSN 2949-7612,
https://doi.org/10.1016/j.mcpdig.2024.100192.
(https://www.sciencedirect.com/science/article/pii/S2949761224001251)