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Integration of artificial intelligence into nursing practice

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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.

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Data availability

Not applicable.

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Funding

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Author information

Authors and Affiliations

  1. Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah, Sharjah, UAE

    Mohamed M Abuzaid & Wiam Elshami

  2. Diagnostic Radiography and Imaging, School of Health Sciences, University of Ulster, Coleraine, UK

    Sonyia Mc Fadden

Authors
  1. Mohamed M Abuzaid
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  2. Wiam Elshami
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  3. Sonyia Mc Fadden
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Contributions

All authors participated in the project development, data collection, and manuscript writing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mohamed M Abuzaid.

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Conflict of interest

All authors declare that they have no conflicts of interest.

Study approval

The University of Sharjah research ethics committee approved the study. All methods and protocols were performed in accordance with the research ethics committee’s guidelines and regulations (reference number REC-20-05-06-01).

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Abuzaid, M.M., Elshami, W. & Fadden, S.M. Integration of artificial intelligence into nursing practice. Health Technol. 12, 1109–1115 (2022). https://doi.org/10.1007/s12553-022-00697-0

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  • DOI: https://doi.org/10.1007/s12553-022-00697-0

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