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. 2022;12(6):1109-1115.
doi: 10.1007/s12553-022-00697-0. Epub 2022 Sep 14.

Integration of artificial intelligence into nursing practice

Mohamed M Abuzaid  1 , Wiam Elshami  1 , Sonyia Mc Fadden  2
Affiliations

Integration of artificial intelligence into nursing practice

Mohamed M Abuzaid et al. Health Technol (Berl). 2022.

Abstract

Background: Artificial Intelligence (AI) is developing at a rapid pace and finding new applications across the health service team. Some professionals have voiced concerns over the implementation of AI, whilst others predict greater job opportunities in the future. Nursing practice will be directly affected and further information is required on the knowledge and perceptions of nurses regarding the integration of AI in practice. The study aims to assess the knowledge, attitude, willingness, and organizational readiness in integrating AI into nursing practice.

Methods: An exploratory cross-sectional survey of nurses working in health organisations. A survey link was emailed to participants. Nurses working in the United Arab Emirates (UAE) health organisations were invited to participate. Eligibility criteria included registered nurses in government or private hospitals. The survey captured the nurses demographic, knoweldage, preceptions, orgianizational readinesss and challenges regarding implementation of AI into nursing practice.

Results: 553 responses were returned from 650 invitation giving a response rate of 85%. 51% of respondents stated their knowledge on AI was obtained through self-taught measures for most of the participants, while 20% of them gained it through various courses. Only 8% stated they learned through postgraduate courses, while 9% stated they lack knowledge of AI. 75% of all respondents agreed that the nursing curriculum should include some basic knowledge of AI.

Conclusions: There is a lack of understanding of the principles of AI across the nursing profession. Further education and training is required to enable a seamless and safe integration of AI into nursing practice.

Keywords: Acceptance; Artificial intelligence; Future applications of AI; Integrate into practice; Nurse; Technology in nursing.

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Conflict of interest statement

Conflict of interestAll authors declare that they have no conflicts of interest.

Figures

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Knowledge Assessment
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Knowledge Gain
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Skills Gain
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Perceptions toward AI
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References

    1. Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, et al. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. J Adv Nurs. 2021;77(9):3707–17. doi: 10.1111/jan.14855. - DOI - PMC - PubMed
    1. Topaz M, Murga L, Gaddis KM, McDonald MV, Bar-Bachar O, Goldberg Y, et al. Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches. J Biomed Inform [Internet]. 2019;90(November 2018):103103. Available from: 10.1016/j.jbi.2019.103103. - PubMed
    1. Hannaford L, Cheng X, Kunes-Connell M. Predicting nursing baccalaureate program graduates using machine learning models: A quantitative research study. Nurse Educ Today [Internet]. 2021;99(December 2020):104784. Available from: 10.1016/j.nedt.2021.104784. - PubMed
    1. O’Connor S. Artificial intelligence and predictive analytics in nursing education. Nurse Educ Pract [Internet]. 2021;56:103224. Available from: 10.1016/j.nepr.2021.103224. - PubMed
    1. Swan BA, Haas S. a. Assessing the Knowledge and Attitudes of Registered Nurses about Artificial Intelligence in Nursing and Health Care. Nurs Econ. 2021;39(3):139–43.

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