Using Artificial Intelligence to Improve Clinical Decision-Making and Nursing Care

Authors

  • Bentolhoda Mehdizadeh PhD in medical Engineering, Sina Hospital, Kerman University of Medical Sciences, Iran
  • Abbas Rashidi General Surgery Specialist, Kerman University of Medical Sciences / Sina Hospital, Kerman, Iran
  • Malihe Molaei bachelor of Nursing, Sina Hospital, Kerman University of Medical Sciences, Iran

DOI:

https://doi.org/10.5281/zenodo.16015780

Keywords:

artificial intelligence, clinical decision-making, nursing care, machine learning

Abstract

artificial intelligence (AI) on clinical decision-making and patient care in nursing and healthcare. Despite advancements in AI technologies like machine learning and artificial neural networks, challenges such as data quality, result interpretation, and ethical concerns persist. Training nurses and ensuring accuracy and caution in AI utilization are crucial. The review, conducted using the PRISMA approach, analyzed twelve articles from various databases between 2016 and 2024. The findings reveal that AI-driven predictive analysis has improved nursing care, yet challenges in data quality, result interpretation, and ethics remain. The discussions stress the need for teamwork among nurses and the establishment of ethical and quality frameworks for AI integration in nursing care, calling for further research and understanding in these areas

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Published

2024-09-24 — Updated on 2025-07-17

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How to Cite

Mehdizadeh, B., Rashidi, A., & Molaei , M. (2025). Using Artificial Intelligence to Improve Clinical Decision-Making and Nursing Care. MEDICO&ENGINEERING FUTURE, 1(1). https://doi.org/10.5281/zenodo.16015780 (Original work published September 24, 2024)

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