Cited by 213Artificial Intelligence in Healthcare and EducationArtificial Intelligence ApplicationsNursing Diagnosis and Documentation

The DOI matches its Crossref record; 75 of the 76 references it cites were found in a registry or an index; 1 of the 28 sources its claims cite were checked for support.

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study

Open access

Abstract

Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial. Aims: This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare. Methods: A cohort of 23 nursing professionals was recruited between April 7, 2023, and May 4, 2023, for this study. Employing a thematic analysis approach, qualitative data from interviews with nursing professionals were analyzed. Verbatim transcripts underwent rigorous coding, and these codes were organized into themes through constant comparative analysis. The themes were refined and developed through the grouping of related codes, ensuring an authentic representation of participants' viewpoints. Results: After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation. Conclusion: This study provides valuable insights into nursing professionals' perspectives on the integration of AI in future nursing care. It highlights their enthusiasm for AI's potential benefits while emphasizing the importance of ethical and compassionate nursing practice. The findings underscore the need for comprehensive training programs to equip nursing professionals with the skills necessary for successful AI integration. Ultimately, this research contributes to the ongoing discourse on the role of AI in nursing, paving the way for a future where innovative technologies complement and enhance the delivery of patient-centered care.

Overview

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TL;DR

This descriptive qualitative study interviewed 23 nursing professionals in Dhaka, Bangladesh, and identified ten themes about AI in future nursing care, including optimism, ethical concerns, training needs, and the importance of human connection. Participants generally saw AI as an opportunity to enhance care rather than replace nurses, while emphasizing compassionate practice and preparation.

Key findings

  • Ten key themes emerged: perceptions of AI readiness; benefits and concerns; enhanced patient outcomes; collaboration and workflow; human-tech balance; training and skill development; ethical and legal considerations; AI implementation barriers; patient-nurse relationships; future vision and adaptation.
  • Nurses described AI readiness as a blend of optimism and caution, seeing AI as a way to enhance patient care and streamline processes while preserving nursing expertise and human connection.
  • Participants expected AI to support early detection, predictive insights, individualized treatment, workflow coordination, and more time for patient relationships, but raised concerns about data privacy, security, subtle clinical nuances, limited resources, and resistance to change.
  • Training and skill development were repeatedly emphasized, with nurses calling for comprehensive education to use AI effectively and ethically.

Methods

  • Descriptive qualitative design using thematic analysis, reported according to the COREQ checklist, conducted at three tertiary-level private hospitals in Dhaka city, Bangladesh.
  • Purposive sampling recruited 23 nursing professionals between April 7, 2023, and May 4, 2023; inclusion required at least a master’s degree and at least 5 years of professional experience, with registered nurses and nurse educators emphasized.
  • Data came from semi-structured interviews of approximately 45–60 minutes, audio-recorded with consent, transcribed verbatim, coded, and organized into themes through constant comparative analysis.

Limitations

  • The paper states that the sample size may not represent the diversity of nursing professionals’ perspectives and recommends a larger, more diverse sample.
  • The paper states that it did not include viewpoints of patients and AI developers, which could provide a more holistic understanding.
  • Evident from the text: the study was limited to three private tertiary hospitals in Dhaka and recruited only highly educated, experienced nurses, which may restrict transferability to other settings or nursing cadres.

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Integrity signals

Registry

Crossref · 10.1016/j.heliyon.2024.e25718

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig. 1 Thematic analysis.
Fig. 1 Thematic analysis.CC BY · PubMed Central

Verification

Claims the paper makes

40 Own result · 31 Not checked yet · 12 Own method · 7 Own interpretation · 1 Supported

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  • It may state two separate claims as one. 41
  • Probably not a substantial claim. 40
  • The quote only partly states this claim. 2
69 of 69
  • The paper relies on this without support.

    A gap exists in qualitative research focusing on the perspectives of nursing professionals regarding AI integration.

    “However, despite the evident enthusiasm for AI in healthcare, a gap exists in qualitative research focusing on the perspectives of nursing professionals.”
  • The paper relies on this without support.

    AI technologies will continue to advance.

    “As AI technologies continue to advance, nursing care stands on the brink of a transformative era.”
  • The paper relies on this without support.

    The positive attitudes of the study participants reflect a growing acceptance of AI among nursing professionals generally.

    “Firstly, it underscores the growing acceptance of AI in nursing care, indicating a paradigm shift in healthcare delivery.”
3 of 3

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Citations

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Research works printed but not linked: 1

  1. Chen, 2022, vol. 2022, 1

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Metadata

Authors
Rony, M. K. K., Kayesh, I., Bala, S. D., Akter, F., & Parvin, M. R.
Affiliations
  • University of Dhaka (BD)
  • International University of Business Agriculture and Technology (BD)
  • Shahjalal University of Science and Technology (BD)
Corresponding author
Rony, Moustaq Karim Khan
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-02
Volume
10
Issue
4
Pages
e25718
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4391650202
Cited by
190
References
76
Citations by year
2026: 65 · 2025: 101 · 2024: 24
FWCI
17.66
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
Keywords
artificial intelligence in nursing, nursing professionals' perceptions, AI readiness, human-technology collaboration, nursing workflow, implementation barriers, nurse-patient relationship, patient-centered care

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