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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 Interventions II: Selecting and Classifying the Nursing Interventions

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:

Classification of Illness

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

Current Trends in Nursing I

Current Trends in Nursing I

Current trends in nursing include:

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Related Experiment Videos

Development of ICU nurses' compassion fatigue classification model: an explainable machine learning algorithm

Xueling Bian^1,2, Shunlian Luan¹, Huanhuan Wu¹

¹Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, 256603, China.

|April 11, 2026

Summary

No abstract available in PubMed .

Keywords:

Compassion fatigue Intensive care unit Machine learning Nurses SHAP

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