ArticleCureus2023
Harnessing Large Language Models in Nursing Care Planning: Opportunities, Challenges, and Ethical Considerations.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Physicians' required competencies in AI-assisted clinical settings: a systematic review.British medical bulletin · 2025Pooled it
- Beyond Bedside Implementation: Why Procurement and Vendor Management Matter for Sustainable AI.Nursing & health sciences · 2026Article
- Review
- Advantages, limitations, and ethical concerns of AI-assisted qualitative research in nursing: insights from a human-AI comparative thematic analysis.BMC nursing · 2026Article
- Ethical Imperatives for Retrieval-Augmented Generation in Clinical Nursing: Viewpoint on Responsible AI Use.JMIR medical informatics · 2026Article
- Detecting Sociodemographic Biases in the Content and Quality of Large Language Model-Generated Nursing Care: Cross-Sectional Simulation Study.Journal of medical Internet research · 2025Article
- Artificial Intelligence in Mental Health Nursing: Balancing Clinical Efficiency and the Human Touch-A Quest for a New Synthesis.Journal of psychiatric and mental health nursing · 2025Review
- The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review.International journal of mental health nursing · 2025Review
- PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Article
- Article
- Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence.Global journal on quality and safety in healthcare · 2024Article
- Based on Medicine, The Now and Future of Large Language Models.Cellular and molecular bioengineering · 2024Review
- Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care.Health science reports · 2024Article
- Embracing Artificial Intelligence: Revolutionizing Nursing Documentation for a Better Future.Cureus · 2024Article
- Article
- Generative AI Demonstrated Difficulty Reasoning on Nursing Flowsheet Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Harnessing Artificial Intelligence for Qualitative and Mixed Methods in Nursing Research.Cureus · 2023Article
- Review
- Enhancing oncology nursing care planning for patients with cancer through Harnessing large language models.Asia-Pacific journal of oncology nursing · 2023Article
- Harnessing the Power of Large Language Models (LLMs) for Electronic Health Records (EHRs) Optimization.Cureus · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid progress in artificial intelligence (AI) and the emergence of large language models (LLMs), like GPT-4, create a unique opportunity to transform nursing care planning. In this editorial, we explore the potential applications of AI in the nursing process, with a focus on patient data assessment and interpretation, communication with patients and families, identifying gaps in care plans, and ongoing professional development. We also examine the ethical concerns and challenges associated with AI integration in healthcare, such as data privacy and security, fairness and bias, accountability and responsibility, and the delicate balance between human-AI collaboration. To implement LLMs responsibly and effectively in nursing care planning, we recommend prioritizing robust data security measures, transparent and unbiased algorithms, clear accountability guidelines, and human-AI collaboration. By addressing these issues, we can improve nursing care planning and ensure the best possible care for patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.