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. 2022 Nov;30(8):3838-3846.
doi: 10.1111/jonm.13769. Epub 2022 Aug 21.

Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence in specialized medical care: An interview study

Elina Laukka  1 , Mira Hammarén  1 , Outi Kanste  1   2
Affiliations

Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence in specialized medical care: An interview study

Elina Laukka et al. J Nurs Manag. 2022 Nov.

Abstract

Aim: To describe nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI) in specialized medical care.

Background: Use of AI has rapidly increased in health care. However, nurse leaders' and developers' perceptions of AI and its future in specialized medical care remain under-researched.

Method: Descriptive qualitative methodology was applied. Data were collected through six focus groups, and interviews with nurse leaders (n = 20) and digital service developers (n = 10) conducted remotely in 2021 at a university hospital in Finland. The data were subjected to inductive content analysis.

Results: The data yielded 25 sub-categories, 10 categories and three main categories of participants' perceptions. The main categories were designated AI transforming: work, care and services and organizations.

Conclusions: According to our respondents, AI will have a significant future role in specialized medical care, but it will likely reinforce, rather than replace, clinicians or traditional care. They also believe that it may have several positive consequences for clinicians' and leaders' work as well as for organizations and patients.

Implications for nursing management: Nurse leaders should be familiar with the potential of AI, but also aware of risks. Such leaders may provide betters support for development of AI-based health services that improve clinicians' workflows.

Keywords: artificial intelligence; content analysis; digitalization; interview; nurse manager; specialized medical care.

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Conflict of interest statement

The authors declare that they have no conflict of interests.

Figures

FIGURE 1
FIGURE 1
Description of university hospital (research organization)
FIGURE 2
FIGURE 2
Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI)
See this image and copyright information in PMC

References

    1. Abdullah, R. , & Fakieh, B. (2020). Health care employees' perceptions of the use of artificial intelligence applications: Survey study. Journal of Medical Internet Research, 22(5), 1–8. 10.2196/17620 - DOI - PMC - PubMed
    1. Ahonen, O. , Kouri, P. , Kinnunen, U. M. , Junttila, K. , Liljamo, P. , Arifulla, D. , & Saranto, K. (2016). The development process of eHealth strategy for nurses in Finland. Studies in Health Technology and Informatics, 225, 203–207. 10.3233/978-1-61499-658-3-203 - DOI - PubMed
    1. Archibald, M. M. , & Barnard, A. (2018). Futurism in nursing: Technology, robotics and the fundamentals of care. Journal of Clinical Nursing, 27(11–12), 2473–2480. 10.1111/jocn.14081 - DOI - PubMed
    1. Buchanan, C. , Howitt, M. L. , Wilson, R. , Booth, R. G. , Risling, T. , & Bamford, M. (2020). Predicted influences of artificial intelligence on the domains of nursing: Scoping review. JMIR Nursing, 3(1), e23939. 10.2196/23939 - DOI - PMC - PubMed
    1. Chen, M. , & Decary, M. (2020). Artificial intelligence in healthcare: An essential guide for health leaders. Healthcare Management Forum, 33(1), 10–18. 10.1177/0840470419873123 - DOI - PubMed