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New Paradigms and Adaptations in Times of Rapid Technological Changes.

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Bibliographic Details
Title: New Paradigms and Adaptations in Times of Rapid Technological Changes.
Authors: Macchi, C. R. (AUTHOR), Kessler, Rodger (AUTHOR), Mendenhall, Tai (AUTHOR), Davis-Martin, Rachel (AUTHOR), Bertram Grant, Sandra (AUTHOR)
Source: Families, Systems & Health: The Journal of Collaborative Family HealthCare. Jun2026, Vol. 44 Issue 2, p109-113. 5p.
Subjects: Artificial intelligence, Generative artificial intelligence, Career development, Clinical decision making, Algorithmic bias, Innovation adoption, Medical informatics, Medical care
Abstract: The article examines the rapid development and adoption of artificial intelligence (AI) in health and health care, emphasizing the need to identify responsible uses that support integrated and team-based care. It highlights the paradigm shift AI represents, particularly with the recent rise of Generative AI, and discusses challenges such as technology adoption disparities, potential biases in AI outputs, and the importance of maintaining human judgment in clinical decision-making. The editorial also addresses implications for education, workforce development, and professional writing, advocating for a focus on human–AI partnerships and process-oriented learning. Finally, it announces a forthcoming special section dedicated to Health Informatics and AI in Integrated Primary Care to foster ongoing dialogue and research on these topics. [Extracted from the article]
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Database: Psychology and Behavioral Sciences Collection
Description
Abstract:The article examines the rapid development and adoption of artificial intelligence (AI) in health and health care, emphasizing the need to identify responsible uses that support integrated and team-based care. It highlights the paradigm shift AI represents, particularly with the recent rise of Generative AI, and discusses challenges such as technology adoption disparities, potential biases in AI outputs, and the importance of maintaining human judgment in clinical decision-making. The editorial also addresses implications for education, workforce development, and professional writing, advocating for a focus on human–AI partnerships and process-oriented learning. Finally, it announces a forthcoming special section dedicated to Health Informatics and AI in Integrated Primary Care to foster ongoing dialogue and research on these topics. [Extracted from the article]
ISSN:10917527
DOI:10.1037/fsh0001070