Literature DB >> 31032700

'Knowledge development, technology and questions of nursing ethics'.

Anne Griswold Peirce1, Suzanne Elie1, Annie George1, Mariya Gold1, Kim O'Hara1, Wendella Rose-Facey1.   

Abstract

This article explores emerging ethical questions that result from knowledge development in a complex, technological age. Nursing practice is at a critical ideological and ethical precipice where decision-making is enhanced and burdened by new ways of knowing that include artificial intelligence, algorithms, Big Data, genetics and genomics, neuroscience, and technological innovation. On the positive side is the new understanding provided by large data sets; the quick and efficient reduction of data into useable pieces; the replacement of redundant human tasks by machines, error reduction, pattern recognition, and so forth. However, these innovations require skepticism and critique from a profession whose mission is to care for and protect patients. The promise of technology and the new biological sciences to radically and positively transform healthcare may seem compelling when couched in terms of safety, efficiency, and effectiveness but their role in the provision of ethical nursing care remains uncertain. Given the profound moral and clinical implications of how today's knowledge is developed and utilized, it is time to reconsider the relationship between ethics and knowledge development in this new uncharted area.

Entities:  

Keywords:  Big Data; Knowledge development; artificial intelligence; complexity theory; genomics and neuroethics; nursing ethics

Year:  2019        PMID: 31032700     DOI: 10.1177/0969733019840752

Source DB:  PubMed          Journal:  Nurs Ethics        ISSN: 0969-7330            Impact factor:   2.874


  2 in total

1.  Artificial Intelligence Assistive Technology in Hospital Professional Nursing Technology.

Authors:  Yanxue Cai; Moorhe Clinto; Zhangbo Xiao
Journal:  J Healthc Eng       Date:  2021-11-27       Impact factor: 2.682

Review 2.  Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Authors:  Kathrin Seibert; Dominik Domhoff; Dominik Bruch; Matthias Schulte-Althoff; Daniel Fürstenau; Felix Biessmann; Karin Wolf-Ostermann
Journal:  J Med Internet Res       Date:  2021-11-29       Impact factor: 5.428

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.