Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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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.
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http://dx.doi.org/10.1097/ANS.0000000000000585 | DOI Listing |