Literature DB >> 32068622

Artificial Intelligence and Nursing: The Future Is Now.

Thomas R Clancy1.   

Abstract

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on the application of management strategies in health systems. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. Since writing my 1st article for Managing Organizational Complexity in 2004, much has happened to further our understanding of complexity in healthcare systems. The growth of new computational methods in the fields of data science and data analytics has allowed scientists to identify signals or patterns in large complex data sets (big data) that in the past were seemingly hidden. Rather than relying on historical statistical methods to infer outcomes, these advanced methods combined with increased computer processing power allow machines to learn the structure of data and create artificial intelligence (AI). In our ongoing efforts to find solutions for complex healthcare problems, AI is becoming more and more an accepted method. The purpose of this edition of Managing Organizational Complexity is to define AI and machine learning, discuss the recent resurgence of AI, and then provide examples of how AI can provide value to healthcare with an emphasis on nursing.

Mesh:

Year:  2020        PMID: 32068622     DOI: 10.1097/NNA.0000000000000855

Source DB:  PubMed          Journal:  J Nurs Adm        ISSN: 0002-0443            Impact factor:   1.737


  5 in total

1.  Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.

Authors:  Charlene Esteban Ronquillo; Laura-Maria Peltonen; Lisiane Pruinelli; Charlene H Chu; Suzanne Bakken; Ana Beduschi; Kenrick Cato; Nicholas Hardiker; Alain Junger; Martin Michalowski; Rune Nyrup; Samira Rahimi; Donald Nigel Reed; Tapio Salakoski; Sanna Salanterä; Nancy Walton; Patrick Weber; Thomas Wiegand; Maxim Topaz
Journal:  J Adv Nurs       Date:  2021-05-18       Impact factor: 3.057

2.  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

3.  Robots and Robotics in Nursing.

Authors:  Gil P Soriano; Yuko Yasuhara; Hirokazu Ito; Kazuyuki Matsumoto; Kyoko Osaka; Yoshihiro Kai; Rozzano Locsin; Savina Schoenhofer; Tetsuya Tanioka
Journal:  Healthcare (Basel)       Date:  2022-08-18

4.  Application Strategies for Artificial Intelligence- based Clinical Decision Support System: From the Simulation to the Real-World.

Authors:  Sook Hyun Park; Won Chul Cha
Journal:  Healthc Inform Res       Date:  2022-07-31

5.  Integration of artificial intelligence into nursing practice.

Authors:  Mohamed M Abuzaid; Wiam Elshami; Sonyia Mc Fadden
Journal:  Health Technol (Berl)       Date:  2022-09-14
  5 in total

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