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Related Concept Videos

Current Trends in Nursing II01:30

Current Trends in Nursing II

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Current trends in nursing include:
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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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The Scientific Method in Nursing Process01:18

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The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
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Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

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Related Experiment Video

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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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The Effect of Artificial Intelligence in Promoting Positive Nursing Practice Environments: Mixed Methods Systematic

Soraia Cristina de Abreu Pereira1,2,3, Rosilene Alves Ferreira4, João Miguel Ventura-Silva3,5

  • 1Abel Salazar Biomedical Sciences Institute, University of Porto, Porto, Portugal.

Journal of Clinical Nursing
|October 2, 2025
PubMed
Summary

Artificial intelligence (AI) can enhance nursing practice environments by optimizing decision-making and patient safety. Addressing challenges like privacy and training is crucial for AI

Keywords:
artificial intelligencenursingsystematic reviewworking conditions

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Area of Science:

  • Nursing Informatics
  • Healthcare Technology Integration
  • Artificial Intelligence in Healthcare

Background:

  • Artificial intelligence (AI) presents significant advancements with transformative potential in nursing practice.
  • The integration of AI in healthcare necessitates identifying and addressing associated challenges for successful adoption.

Purpose of the Study:

  • To synthesize evidence on artificial intelligence's role in fostering positive nursing practice environments.
  • To explore the outcomes of AI implementation for nursing professionals, patients, and healthcare institutions.

Main Methods:

  • A systematic mixed-methods review adhering to PRISMA 2020 guidelines and JBI methodology.
  • Comprehensive literature search across PubMed, CINAHL, Scopus, and Web of Science, including grey literature.
  • Inclusion of quantitative, qualitative, and mixed-methods studies, with dual independent reviewer screening and quality assessment.

Main Results:

  • Eleven studies revealed AI's transformation of nursing through optimized decision-making, task execution, and patient safety.
  • AI tools, including predictive models and assistants like ChatGPT, show potential in enhancing nursing management.
  • Identified challenges include privacy concerns, resistance to change, and the need for professional training.

Conclusions:

  • Artificial intelligence holds significant potential to positively transform nursing practice environments.
  • AI can optimize decision-making, enhance patient safety, and improve operational efficiency, benefiting all stakeholders.
  • Addressing implementation challenges and risks is essential for the safe and effective adoption of AI in nursing.