Wynn, M and Garwood-Cross, L (2024) Reassembling nursing in the digital age: An actor-network theory perspective. Nursing Inquiry. ISSN 1320-7881
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Abstract
This article explores the application of actor-network theory (ANT) to the nursing profession, proposing a novel perspective in understanding nursing in the context of modern digital healthcare. Traditional grand nursing theories, while foundational, often fail to encapsulate the dynamic and complex nature of nursing, particularly in an era of rapid technological advancements and shifting societal dynamics. ANT, with its emphasis on the relationships between human and nonhuman actors, offers a framework to understand nursing beyond traditional paradigms. This article makes two key arguments: first, that nursing can be viewed as a highly organised social assemblage, where both human (nurses, patients and policymakers) and nonhuman actors (technologies, medical equipment, institutional policies) play a crucial role, and second, that ANT can be used to enhance existing nursing theory to better understand the role of technology in nursing practice. The article considers how ANT can provide a more holistic and adaptable model for describing the nursing profession, particularly in an era where technology plays an integral role in healthcare delivery. It discusses the implications of viewing nursing through ANT, highlighting the need for nursing education and practice to adapt to the interconnected and technologically advanced nature of modern healthcare. The article also acknowledges the limitations of ANT, particularly its potential oversimplification of the complex ethical dimensions inherent in nursing and its focus on observable phenomena.
Item Type: | Article |
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Uncontrolled Keywords: | ANT; actor‐network theory; digital; digital health; education; nursing; technology; theory; 1110 Nursing; Nursing |
Subjects: | R Medicine > RT Nursing T Technology > T Technology (General) |
Divisions: | Nursing and Advanced Practice |
Publisher: | Wiley |
SWORD Depositor: | A Symplectic |
Date Deposited: | 08 Oct 2024 10:25 |
Last Modified: | 08 Oct 2024 10:30 |
DOI or ID number: | 10.1111/nin.12655 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/24431 |
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