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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:

Nursing Implementation

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.

Interdisciplinary Care: The Health Care Team-I

Interdisciplinary Care: The Health Care Team-I

An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
Physicians
The physician's primary responsibility is to diagnose illness and direct the medical or surgical treatment of the condition. The authority to admit patients to a healthcare agency or institution and practice care within that setting is granted to physicians by the healthcare agency or institution...

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Integrating Artificial Intelligence Into Cancer Care: Enhancing Nursing Practice and Bridging Disparities.

Youran Lee¹, Yan Wang², Osborn Owusu Ansah³

¹Youran Lee.

Clinical Journal of Oncology Nursing

|August 12, 2025

Summary

Artificial intelligence (AI) in cancer care can revolutionize nursing, reduce disparities, and improve patient outcomes throughout the cancer journey. This technology offers significant potential for enhancing cancer prevention, screening, and treatment.

Keywords:

artificial intelligence cancer care cancer disparities

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Area of Science:

Oncology
Healthcare Technology
Nursing Informatics

Background:

Artificial intelligence (AI) presents transformative potential in oncology.
Addressing cancer care challenges requires innovative technological solutions.
AI can impact patient outcomes across the entire cancer continuum.

Purpose of the Study:

To explore the role of AI in cancer care.
To examine how AI can enhance nursing practice.
To identify AI's potential in reducing cancer disparities and improving patient outcomes.

Main Methods:

Literature review on AI applications in cancer care.
Analysis of AI's impact on nursing workflows.
Assessment of AI's role in addressing health equity in oncology.

Main Results:

AI integration can significantly augment nursing capabilities.
AI tools show promise in mitigating disparities in cancer care access and outcomes.
Early evidence suggests AI enhances patient management from prevention through survivorship.

Conclusions:

AI holds substantial promise for advancing cancer nursing and patient care.
Strategic implementation of AI can lead to more equitable and effective cancer treatment.
Further research is warranted to fully realize AI's potential in oncology.