JMIR Nursing is a peer reviewed journal in the field of nursing in the 21st century. The journal’s primary focus lies in original research centered on digital innovations within the nursing landscape. Nursing and nursing informatics experts are actively ideating, designing, developing, and implementing digital technologies with the aim to improve the health and well-being of their both clients and their families, as well as to streamline and refine health care processes for fellow nurse colleagues and health care teams.

Indexed in prominent databases such as PubMed, PubMed Central, DOAJ, CINAHL, and INANE, JMIR Nursing stands as a trusted resource for research insights. The journal is pleased to announce a call for papers on the topic of “Artificial Intelligence (AI) in Nursing.” This presents an excellent opportunity to contribute to the ongoing discourse regarding AI's role in shaping the nursing landscape.

AI is revolutionizing health care. Nurse informaticist developers, researchers, practitioners, clinicians, educators, and innovators have designed, developed, implemented, and used AI to support patients, their families, nurses and health care activities. AI has been used to support nurse and patient information needs, decision-making, and nursing interventions. AI can take the form of chatbots, virtual assistants, recommender systems, and tailored patient and nursing educational supports. Studies have also shown that AI can improve nursing care; however, AI can also introduce new types of health care and nursing challenges that will need to be addressed, including the potential for introducing bias, disrupting current nursing practice, developing trust in the technology, and identifying ways to explain what the technology does as well as its limitations (ie, explainable AI).

In-scope topics on AI in nursing include the following:

Innovative applications of AI in nursing
Application and use of large language models (eg, ChatGPT) in settings where nurses provide care
AI explainability in the context of nursing and patient care
Strengths and limitations of using AI technologies in nursing practice
AI, nursing, and medical devices that use AI technologies
AI, nursing, and prescribing
AI, nursing, and robotics
AI, nursing, and conversational agents (eg, chatbots)
AI, nursing, and trust
AI, nursing, and algorithmic bias
Implementation of AI in clinical and home care settings to support patient and nursing care
Evaluating the effectiveness and efficacy of AI in supporting nursing information seeking, decision-making, and patient care.
Sensitivity, effectiveness, and/or efficiency of AI algorithms
Comparisons of AI algorithm effectiveness in supporting decision-making among nurses
Ethical issues in AI in nursing
AI, nursing, and cost-effectiveness analysis

Out-of-scope topics on AI and large language models in nursing include the following:

AI-focused exclusively on physicians
AI-focused exclusively on patients

Submission Guidelines

JMIR Nursing welcomes submissions from researchers and practitioners in nursing, medicine, health care, computer science, and related fields. We encourage submissions of original research, literature reviews, and viewpoints. Submissions must be original and unpublished. Preprints are highly encouraged to be submitted for peer review. All submissions will undergo a rigorous peer review process, and accepted articles will be published as part of a special issue on AI in Nursing.

Submission deadline: Open call for submissions

To submit an article to this JMIR theme issue select the journal section entitled “Artificial Intelligence (AI) in Nursing.”

Theme Issue Co-Editors

Kenrick Dwain Cato, PhD, RN, CPHIMS, FAAN, Professor, Informatics at the Children’s Hospital of Philadelphia;Faculty Clinician, Family and Community Health, University of Pennsylvania

Professor Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS, Editor-in-Chief, JMIR Nursing

See the article How do I submit to a theme issue? in our Knowledge Base and consult our Instructions for Authors for more information.

Please direct questions regarding this theme issue to the JMIR Editorial Team at ed-support@jmir.org.

All articles submitted to this theme issue will be shared and published rapidly through the following mechanisms:

All peer reviewed articles in this theme issue will be immediately and permanently made open access. This is the standard for all titles within the JMIR Publications portfolio.

Articles can be made immediately available in JMIR Preprints (with a DOI) after submission if authors select the preprint option at submission to enable this service.

This paper is in the following e-collection/theme issue:

Privacy Barriers in Health Monitoring: Scoping Review

Privacy Barriers in Health Monitoring: Scoping Review