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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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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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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Implementation is the execution of the nursing care plan developed during the planning phase.
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Healthcare Agencies II01:17

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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
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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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Related Experiment Video

Updated: Jun 14, 2026

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
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Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

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Macy Foundation Innovation Report Part II: From Hype to Reality: Innovators' Visions for Navigating AI Integration

Brian C Gin, Kate LaForge, Jesse Burk-Rafel

    Academic Medicine : Journal of the Association of American Medical Colleges
    |June 6, 2025
    PubMed
    Summary

    Artificial intelligence (AI) offers personalized learning in medical education but poses risks. Innovators suggest validation, ethical standards, and collaboration to ensure effective and equitable AI integration.

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    Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

    Published on: July 11, 2025

    Area of Science:

    • Medical Education Technology
    • Artificial Intelligence in Healthcare
    • Educational Effectiveness

    Background:

    • Artificial intelligence (AI) presents significant potential to transform medical education.
    • Implementation of AI in medical education raises critical questions regarding effectiveness, ethics, and equity.
    • This report explores innovator perspectives on AI integration in medical education.

    Purpose of the Study:

    • To examine the perceptions of innovators integrating AI into medical education.
    • To understand the perceived impacts, opportunities, challenges, and mitigation strategies for AI adoption.
    • To inform discussions on the future of AI in medical training.

    Main Methods:

    • Conducted semistructured interviews with 25 AI innovators in medical education (learners, educators, leaders, industry).
    • Explored perceptions of AI's influence, integration challenges, and mitigation strategies.
    • Utilized thematic analysis of interview transcripts to synthesize recommendations.

    Main Results:

    • AI can enable precision education via virtual tutors, support active learning, and facilitate cognitive offloading.
    • AI-enhanced assessments offer automated grading, learner trajectory prediction, and performance data integration.
    • Concerns include threats to validity, bias propagation, deskilling, and institutional disparities; mitigation involves validation, ethical standards, and AI literacy.

    Conclusions:

    • AI innovators foresee transformative opportunities for individualized and precision medical education.
    • Critical threats necessitate proactive strategies for rigorous validation, ethical standards, and equitable integration.
    • Collaborative efforts are essential to realize AI's benefits while mitigating risks in medical training.