Integrating Artificial Intelligence into Nursing Practice
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Healthcare".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 657
Editors
Interests: randomised controlled trial; systematic review; cancer supportive care; evidence-based practice; chronic condition; holistic care
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is transforming healthcare by enhancing clinical decision-making, optimizing workflows, and supporting patient-centered care. In nursing practice, AI-driven tools offer opportunities to improve assessment accuracy, early detection of patient deterioration, individualized care planning, and resource allocation. As nurses play a pivotal role in patient safety and care coordination, understanding how AI can be effectively integrated into nursing practice is critical to ensuring that technological advancements align with professional values and clinical needs.
We are pleased to invite you to contribute to this Special Issue, “Integrating Artificial Intelligence into Nursing Practice.” This Special Issue aims to explore the opportunities, challenges, and practical implications of AI adoption in nursing. It seeks to advance scientific knowledge and evidence-based strategies that support safe, ethical, and effective integration of AI technologies into diverse nursing contexts. This topic aligns with the journal’s focus on improving healthcare quality, patient outcomes, and the professional development of nurses through innovation and research.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Implementation and evaluation of AI tools in clinical nursing practice;
- Nurse–AI collaboration and decision support systems;
- Ethical and professional considerations in AI-assisted care;
- Barriers and facilitators to AI adoption in nursing practice;
- Impact of AI on nursing workflow, patient safety, and quality of care;
- Perspectives of nurses and patients on AI-driven healthcare.
We look forward to receiving your contributions.
Prof. Dr. Jing-Yu (Benjamin) Tan
Guest Editor
Dr. Haiying (Emily) Wang
Guest Editor Assistant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- nursing practice
- clinical decision support
- machine learning
- digital health
- ethical implications
- patient safety
- technology adoption
- evidence-based practice
- nursing informatics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
