Advancing nursing practice through artificial intelligence: unlocking its transformative impact
Abstract
Artificial intelligence in healthcare settings is set to change the nursing profession and offer opportunities to address contemporary problems facing the profession, such as the shortage of nurses, access to care, and patient complexity. The use of AI has the potential to improve nursing practice; however, success depends on user-centered design, openness, and fitting in with the core values of nurses. Challenges may include integration barriers, readiness of the workforce, regulatory risks, and implementation strategies that seem to focus more on the use of technology than on benefits of the application. Our review of the literature found examples of AI tools in healthcare settings and features of both effective and poor implementation of technology in practice. It is important for professional nurses to stay current and take every opportunity to shape the incorporation of this technology into nursing practice. This article discusses the impact of AI on nurses and the nursing profession, the issues that arise from its use, and future directions within this emerging field. The content within offers a general overview for nurses about AI technologies, including descriptions and examples of current applications; considerations for AI in education settings; rules for expanding scope of practice; and ethical, legal, and social implications. Although AI can help improve nursing practice and subsequently widen the scope of nurses, integration can only be done effectively if nurses…
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Mobile health and virtual care tools can enhance nursing workflows.
“Mobile health and virtual care tools can enhance nursing workflows, improve clinical decision making, and help ensure that patients in under-resourced areas experience fewer gaps in care and more coordinated health services.4,5”
Mobile health and virtual care tools can improve clinical decision making.
“Mobile health and virtual care tools can enhance nursing workflows, improve clinical decision making, and help ensure that patients in under-resourced areas experience fewer gaps in care and more coordinated health services.4,5”
Most current AI-driven patient navigation systems prioritize automation and efficiency over patient priorities and emotional needs.
“Despite their potential, most current AI-driven patient navigation systems prioritize automation and efficiency over patient priorities and emotional needs. This shortfall potentially undercuts individualized care needs, which are fundamental to the goals of nursing practice.4”
The shortfall of current AI-driven patient navigation systems potentially undercuts individualized care needs, which are fundamental to the goals of nursing practice.
“Despite their potential, most current AI-driven patient navigation systems prioritize automation and efficiency over patient priorities and emotional needs. This shortfall potentially undercuts individualized care needs, which are fundamental to the goals of nursing practice.4”
There is a lack of nursing-specific AI frameworks designed to align emerging technologies with ethical nursing principles such as empathy, advocacy, and patient-centered care.
“Currently, there is a lack of nursing-specific AI frameworks designed to align emerging technologies with ethical nursing principles such as empathy, advocacy, and patient-centered care.4,5”
Mobile health and virtual care tools can help ensure that patients in under-resourced areas experience fewer gaps in care and more coordinated health services.
“Mobile health and virtual care tools can enhance nursing workflows, improve clinical decision making, and help ensure that patients in under-resourced areas experience fewer gaps in care and more coordinated health services.4,5”
The absence of nursing-specific AI frameworks hinders insight into long-term impacts of nursing-specific AI frameworks on nurse clinical workflow and patient outcomes.
“This absence limits evaluation and improvement of AI tools and hinders insight into long-term impacts of nursing-specific AI frameworks on nurse clinical workflow and patient outcomes.4,5,7”
The absence of nursing-specific AI frameworks limits evaluation and improvement of AI tools.
“This absence limits evaluation and improvement of AI tools and hinders insight into long-term impacts of nursing-specific AI frameworks on nurse clinical workflow and patient outcomes.4,5,7”
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Cited by 8
- Authors
- Shepherd, J., & McCarthy, A.
- Venue
- OJIN: The Online Journal of Issues in Nursing
- Publisher
- American Nurses Association
- Published
- 2025-05-31
- Volume
- 30
- Issue
- 2
- ISSN
- 1091-3734 (ISSN-L)
- OpenAlex
- W4410983487
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 8
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- OJIN The Online Journal of Issues in Nursing (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in healthcare, nursing practice, AI implementation barriers, nursing shortage, health care access, patient complexity, user-centered design, scope of practice, ethical, legal and social implications
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