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Related Concept Videos

Current Trends in Nursing II01:30

Current Trends in Nursing II

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 I

Current trends in nursing include:
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
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Related Experiment Videos

Knowledge Of Artificial Intelligence In Nursing Practice: A Meta-analysis Of Perception, Attitude, And Intention.

Panpan Huang1, Chao Wang2

  • 1Department of Hematology, Zhoushan Hospital.

Journal of Visualized Experiments : Jove
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

Nurses knowledgeable about artificial intelligence (AI) in practice show better perceptions, attitudes, and intentions toward its use in patient care. This finding highlights the importance of AI education for nurses, though further research is needed.

Related Experiment Videos

Area of Science:

  • Nursing Informatics
  • Artificial Intelligence in Healthcare
  • Health Professions Education

Background:

  • Artificial intelligence (AI) is increasingly integrated into healthcare, impacting nursing practice.
  • Understanding nurses' perceptions, attitudes, and intentions towards AI is crucial for its effective implementation.
  • Knowledge of AI applications in nursing may influence healthcare professionals' acceptance and utilization of these technologies.

Purpose of the Study:

  • To conduct a meta-analysis evaluating the differences in perception, attitude, and intention regarding AI use in patient care.
  • To compare nurses with knowledge of AI in nursing practice versus those without.
  • To synthesize existing evidence on the impact of AI familiarity on nurses' views and intentions.

Main Methods:

  • A meta-analysis was performed using a continuous outcome model (fixed- or random-effects).
  • Nine studies involving 3648 nurses were selected.
  • Mean differences (MD) and 95% confidence intervals (CIs) were calculated for perception, attitude, and intention.

Main Results:

  • Nurses with AI knowledge demonstrated significantly higher perception (MD, 1.43), attitude (MD, 1.80), and intention (MD, 2.89) compared to those without.
  • All outcomes showed very high heterogeneity (I² = 91-98%).
  • The consistent positive direction of effect across studies is the primary finding, not the specific MD values due to scale variations.

Conclusions:

  • Nurses familiar with AI in nursing practice report more favorable perceptions, attitudes, and intentions towards its use.
  • High heterogeneity, varying scale ranges, and cross-sectional designs limit causal claims.
  • Findings are hypothesis-generating, emphasizing the need for AI education and further rigorous research.