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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,...

Current Trends in Nursing I

Current Trends in Nursing I

Current trends in nursing 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...

Ethical Issues

Ethical Issues

Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:

Standards of Care II

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:

Ethical Dilemmas I

Ethical Dilemmas I

Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
Let us explore some examples to understand the potentially complex moral decisions nurses face.
Take the case of caring for minors, particularly in areas related to reproductive...

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Updated: Apr 14, 2026

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 nursing science: Opportunities, challenges, implications, and guidelines.

George Demiris¹, Oonjee Oh¹, Connie M Ulrich¹

¹School of Nursing, University of Pennsylvania, Philadelphia, PA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute, University of Pennsylvania, Philadelphia, PA.

Nursing Outlook

|April 12, 2026

Summary

Artificial intelligence (AI) offers transformative potential in nursing science. Integrating AI literacy in education and fostering interdisciplinary collaboration are key to advancing patient care and outcomes.

Keywords:

Artificial intelligence Ethics Nursing informatics Nursing science

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Last Updated: Apr 14, 2026

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

Area of Science:

Nursing science
Artificial intelligence
Healthcare innovation

Background:

Nursing science holds significant potential for healthcare transformation through its patient-centered approach and innovative tradition.
Artificial intelligence (AI) presents opportunities to enhance patient and family outcomes.

Purpose of the Study:

To provide guidelines for integrating artificial intelligence (AI) into nursing science.
Informed by an interdisciplinary workshop involving experts from nursing, medicine, informatics, data science, bioethics, and healthcare.

Main Methods:

Analysis of transcribed workshop proceedings.
Examination of clinical, ethical, and social implications of AI in nursing science.
Consideration of AI as both a research topic and a methodological tool.

Main Results:

Key priorities include AI literacy in graduate nursing education.
Expansion of nursing scientists' roles in interdisciplinary AI groups.
Application of implementation science frameworks for AI deployment.
Advocacy for patient and family interests in AI development.

Conclusions:

Nurse scientists' clinical and relational expertise is crucial alongside AI developers' technical insight.
Reciprocal partnerships are essential for embedding nursing science into AI development.
Sustained collaboration with industry partners is vital for iterative innovation and trust.