Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Current Trends in Nursing II

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,...

Nursing Clinical Information System

Nursing Clinical Information System

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.
Critical attributes of NCIS include:

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Current Trends in Nursing I

Current Trends in Nursing I

Current trends in nursing include:

Patient-centered Care

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...

Critical Thinking I

Critical Thinking I

Critical thinking helps decision-making and allows nurses to recognize barriers to success and find solutions to possible issues. It helps to brainstorm and implement ideas to achieve goals. Critical thinking helps acknowledge and state workflow inefficiencies while improving management techniques. Nurses understand the value of critical thinking and look for fellow nurses with critical thinking skills to upgrade their professional standards. Critical thinking can advance a nurse's career...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Liposomal nanoprobes actuated by engineered water channels for sensitive detection of molecular targets by MRI.

Nature biomedical engineering·2026

Same author

Competency-Based Medical Education in Ophthalmology: Perspectives of Residency Program Directors.

Journal of surgical education·2026

Same author

Artificial intelligence for early detection of aortic stenosis: The emerging role of NPs.

The Nurse practitioner·2026

Same author

Clinical outcomes of mature T- and NK-cell lymphomas in hepatitis B virus positive individuals: results from the PETAL Global Consortium.

Leukemia & lymphoma·2026

Same author

Acquired Hemophilia A After Neoadjuvant Immunotherapy for Renal Cell Carcinoma.

Rhode Island medical journal (2013)·2026

Same author

Cattle to Cornea: A series of C. bovis eye cultures.

The ocular surface·2026

Same journal

Idiopathic anaphylaxis and histamine dysregulation: Revisiting pathophysiologic assumptions.

The Nurse practitioner·2026

Same journal

Improving anxiety screening for adults with hypertension: An integrative review.

The Nurse practitioner·2026

Same journal

Modality matters: Standard of care in telehealth.

The Nurse practitioner·2026

Same journal

Updates in care for patients with genitourinary syndrome of menopause.

The Nurse practitioner·2026

Same journal

Updates in care for patients with genitourinary syndrome of menopause.

The Nurse practitioner·2026

Same journal

UpToDate®.

The Nurse practitioner·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 18, 2025

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

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

Published on: July 11, 2025

Artificial intelligence and advanced practice nursing.

Grace Sun, Leslie Hopkins

The Nurse Practitioner

|June 24, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) can improve advanced practice nursing by enhancing decision-making and efficiency. Challenges like data quality and bias must be addressed for successful AI integration in healthcare.

Keywords:

ChatGPT advanced practice nursing artificial intelligence clinical decision-making machine learning natural language processing technologic advancement

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Sep 18, 2025

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

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

Published on: July 11, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Area of Science:

Healthcare Technology
Nursing Informatics
Artificial Intelligence Applications

Background:

Advanced practice nursing (APN) is increasingly adopting innovative technologies.
Artificial intelligence (AI) presents a transformative potential for healthcare delivery.
The integration of AI in nursing requires careful consideration of its benefits and challenges.

Purpose of the Study:

To explore the integration of artificial intelligence (AI) in advanced practice nursing.
To highlight AI's potential to improve clinical decision-making, diagnostic accuracy, and workflow efficiency for nurse practitioners (NPs).
To identify the benefits and challenges associated with AI adoption in healthcare settings.

Main Methods:

Literature review on AI applications in nursing.
Analysis of AI's impact on NP roles and patient care.
Discussion of ethical considerations and implementation barriers.

Main Results:

AI integration can significantly enhance clinical decision-making and diagnostic accuracy for NPs.
AI offers substantial benefits, including improved patient outcomes and streamlined administrative tasks.
Key challenges include ethical considerations, data quality issues, and inherent biases in AI algorithms.

Conclusions:

AI holds significant promise for advancing the field of advanced practice nursing.
Addressing ethical concerns and ensuring data integrity are crucial for effective AI implementation.
Successful integration of AI requires a strategic approach to maximize benefits while mitigating risks.