JMIR Nursing Editor-in-Chief: Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS and theme editor Kenrick Dwain Cato, PhD, RN, CPHIMS, FAAN welcome submissions to a special theme issue examining “Artificial Intelligence (AI) in Nursing.”
Credit: JMIR Publications
JMIR Nursing Editor-in-Chief: Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS and theme editor Kenrick Dwain Cato, PhD, RN, CPHIMS, FAAN welcome submissions to a special theme issue examining “Artificial Intelligence (AI) in Nursing.”
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.
JMIR Nursing welcomes submissions from researchers and practitioners in nursing, medicine, health care, computer science, and related fields.
The deadline for submissions is October 31, 2023. All accepted manuscripts will be published as part of the JMIR Nursing special theme issue on Artificial Intelligence (AI) in Nursing.
To learn more please visit: https://nursing.jmir.org/announcements/400
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