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Updated: Mar 30, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
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AI in practice: Opportunities, obstacles, and outlook.

Julia L Rogers, Manisa Baker

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    Summary
    This summary is machine-generated.

    Artificial intelligence (AI) in healthcare offers efficiency gains for Nurse Practitioners (NPs) but requires addressing ethical and training challenges. NPs are key to integrating AI while maintaining patient-centered care.

    Keywords:
    AIAI ethicsAI in healthcareAI integrationNPartificial intelligencefuture of nursing technologyhealthcare efficiencynurse practitioner

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    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
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    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

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    Area of Science:

    • Healthcare Technology
    • Nursing Practice
    • Artificial Intelligence Applications

    Background:

    • Artificial intelligence (AI) is increasingly integrated into clinical settings, transforming healthcare delivery.
    • Nurse Practitioners (NPs) face significant implications from AI adoption in their practice.
    • The current landscape highlights both the potential benefits and challenges of AI in healthcare.

    Purpose of the Study:

    • To explore the multifaceted implications of artificial intelligence (AI) integration for Nurse Practitioners (NPs).
    • To identify the benefits and challenges associated with AI implementation in clinical practice.
    • To define the pivotal role of NPs in the ethical and effective adoption of AI technologies.

    Main Methods:

    • Literature review on AI in healthcare and nursing.
    • Analysis of AI's impact on NP practice efficiency and documentation.
    • Examination of ethical considerations, data privacy, and training needs for AI in healthcare.

    Main Results:

    • AI integration promises enhanced practice efficiency and streamlined documentation for NPs.
    • Potential for reduced healthcare expenditures through AI adoption.
    • Significant challenges include ethical dilemmas, data privacy concerns, and inadequate training.

    Conclusions:

    • NPs are crucial in guiding the responsible implementation of AI in healthcare.
    • Ensuring AI adoption aligns with compassionate, patient-centered care is paramount.
    • Addressing ethical and training gaps is essential for successful AI integration in nursing practice.