{"title":"Proposing Technology-Enhanced Wisdom: A Middle-Range Theory for Contemporary Nursing Practice in the Age of AI.","authors":"Pankaj Vyas, Sheila Gephart","doi":"10.1097/ANS.0000000000000585","DOIUrl":null,"url":null,"abstract":"<p><p>This paper proposes Technology-Enhanced Wisdom (TEW), a middle-range theory to guide nursing practice in the age of artificial intelligence. Building on Nelson's Data-to-Wisdom continuum and developed using Walker and Avant's theory synthesis method, TEW identifies 6 mediating concepts - context, perception, veracity, trust, usability, and competency - that shape how nurses integrate artificial intelligence (AI)-enhanced insights. TEW provides a framework for synthesizing internal knowledge with machine-generated information to support ethically grounded, human-centered decisions. As AI transforms health care, TEW offers a timely theoretical foundation for wisdom-driven, technologically informed nursing care, positioning technology not as a replacement for human wisdom but as a co-pilot in advancing it.</p>","PeriodicalId":50857,"journal":{"name":"Advances in Nursing Science","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Nursing Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/ANS.0000000000000585","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
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Abstract
This paper proposes Technology-Enhanced Wisdom (TEW), a middle-range theory to guide nursing practice in the age of artificial intelligence. Building on Nelson's Data-to-Wisdom continuum and developed using Walker and Avant's theory synthesis method, TEW identifies 6 mediating concepts - context, perception, veracity, trust, usability, and competency - that shape how nurses integrate artificial intelligence (AI)-enhanced insights. TEW provides a framework for synthesizing internal knowledge with machine-generated information to support ethically grounded, human-centered decisions. As AI transforms health care, TEW offers a timely theoretical foundation for wisdom-driven, technologically informed nursing care, positioning technology not as a replacement for human wisdom but as a co-pilot in advancing it.
期刊介绍：
Consistently ranked as one of the most-read and most assigned journals by faculties of graduate programs in nursing, Advances in Nursing Science (ANS) is intellectually challenging, innovative and progressive, and features articles from a wide range of scholarly traditions. The journal particularly encourages works that speak to the need for global sustainability and that take an intersectional approach, recognizing class, color, sexual and gender identity, and other dimensions of human experience related to health. Articles in ANS are peer-reviewed and chosen for their pioneering perspectives and for their significance in contributing the evolution of the discipline of nursing.
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