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Current Trends in Nursing II01:30

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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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Nursing Clinical Information System01:27

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Cost Containment
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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...
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Current Trends in Nursing I01:28

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Current trends in nursing include:
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Nursing Implementation01:15

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  11. Artificial Intelligence In Nursing Support For Patients: A Rapid Review

Artificial intelligence in nursing support for patients: A rapid review

Yoshiyasu Ito1, Kohei Kajiwara2, Jun Kako3

  • 1Faculty of Nursing Science, Tsuruga Nursing University, Tsuruga 914-0814, Japan.

International Journal of Medical Informatics
|August 22, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Artificial intelligence (AI) in nursing support shows promise, with research moving towards implementation. However, caution is advised due to study quality concerns, necessitating more high-quality evidence.

Area of Science:

  • Nursing
  • Artificial Intelligence
  • Clinical Practice

Background:

  • Artificial intelligence (AI) is increasingly explored for its potential to enhance nursing support.
  • Evidence from AI applications in nursing practice and decision-making requires careful evaluation.
  • The transition from AI development to clinical implementation necessitates a review of current research.

Purpose of the Study:

  • To review randomized controlled trials (RCTs) on artificial intelligence (AI) in nursing support.
  • To assess the potential of AI in clinical practice and decision-making for nurses.
  • To identify implications for future research and evidence integration.

Main Methods:

  • A rapid literature review was conducted.
  • Searched PubMed, CINAHL, and Cochrane Library for RCTs on AI in nursing support (2010-2024).
Keywords:
Artificial intelligenceNursingRandomized controlled trialRapid review

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  • Included studies underwent quality appraisal and narrative synthesis.

    • Main Results:

    • Twenty RCTs published between 2012 and 2024 were included.
    • Studies focused on AI for patient information/advice, clinical decision support, and psychosocial support.
    • Quality appraisal revealed a wide range (35%-85%) of studies meeting quality criteria.

    Conclusions:

    • Twenty RCTs on AI in nursing support have been published.
    • Research is shifting from development to implementation and effectiveness verification.
    • High-quality RCTs and meta-analyses are needed due to identified risks of bias.