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New Paradigms and Adaptations in Times of Rapid Technological Changes.

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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]
Copyright of Families, Systems & Health: The Journal of Collaborative Family HealthCare is the property of American Psychological Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: New Paradigms and Adaptations in Times of Rapid Technological Changes.
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  Data: <searchLink fieldCode="AR" term="%22Macchi%2C+C%2E+R%2E%22">Macchi, C. R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kessler%2C+Rodger%22">Kessler, Rodger</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mendenhall%2C+Tai%22">Mendenhall, Tai</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davis-Martin%2C+Rachel%22">Davis-Martin, Rachel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bertram+Grant%2C+Sandra%22">Bertram Grant, Sandra</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Career+development%22">Career development</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+decision+making%22">Clinical decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithmic+bias%22">Algorithmic bias</searchLink><br /><searchLink fieldCode="DE" term="%22Innovation+adoption%22">Innovation adoption</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+informatics%22">Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink>
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  Data: 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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  Data: <i>Copyright of Families, Systems & Health: The Journal of Collaborative Family HealthCare is the property of American Psychological Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194355639
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        Value: 10.1037/fsh0001070
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        Text: English
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      – SubjectFull: Generative artificial intelligence
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      – SubjectFull: Career development
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      – SubjectFull: Clinical decision making
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      – SubjectFull: Algorithmic bias
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      – SubjectFull: Innovation adoption
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              Text: Jun2026
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              Y: 2026
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