Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: The integration of artificial intelligence (AI) into healthcare has introduced transformative tools to enhance clinical decision-making and streamline workflows. In nursing, a profession characterized by human-centric care, AI adoption offers both significant opportunities and notable challenges. However, the perspectives of nursing students, future professionals, on integrating AI into clinical practice and education remain underexplored.

Aim: This study aimed to explore nursing students' perceptions of incorporating AI into their clinical training and professional practice, with a focus on identifying benefits, challenges, and potential areas for improvement.

Methods: A qualitative descriptive design explored the experiences and attitudes of 25 nursing students from five colleges in Dhaka, Bangladesh. Participants were purposively sampled to ensure diverse educational and clinical backgrounds. Semi-structured interviews in Bangla, lasting 40-50 min, were audio-recorded, transcribed, and translated into English. Data were collected from May 8, 2024 to August 10, 2024. Data were analyzed using thematic analysis to identify patterns and themes. Credibility was ensured through member checking, dependability via an audit trail, and confirmability through peer debriefing. Data visualization tools were used to map thematic relationships effectively.

Results: Thematic analysis revealed four major themes: (1) AI integration in nursing education, (2) ethical and professional concerns, (3) preparedness for AI-driven practice, and (4) AI's impact on nursing practice. Participants expressed both optimism about AI's potential to improve accuracy and efficiency and apprehension about their readiness to use AI effectively in practice.

Conclusion: The findings underscore the need for comprehensive curriculum reforms that incorporate AI training, address ethical concerns, and emphasize the role of AI as a supportive tool rather than a replacement for human expertise. These insights provide a roadmap for integrating AI into nursing education while preserving the compassionate core of nursing practice.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12010564PMC
http://dx.doi.org/10.1002/hsr2.70728DOI Listing

Publication Analysis

Top Keywords

nursing
9
nursing students'
8
artificial intelligence
8
clinical practice
8
qualitative descriptive
8
nursing students
8
thematic analysis
8
nursing education
8
nursing practice
8
practice
6

Similar Publications

Background: Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder that significantly impairs physical function and daily activities. While conventional treatments focus on symptom management, complementary therapies such as aromatherapy massage have gained attention for their potential benefits.

Objective: This study evaluates the effects of peppermint oil aromatherapy massage on functional impairments in KOA patients.

View Article and Find Full Text PDF

Aim: This study aimed to describe barriers and facilitators of the adherence of children with human immunodeficiency virus (HIV) to antiretroviral therapy (ART) from the perspectives of their caregivers.

Methods: In-depth interviews were held with the caregivers of 15 children. The collected data were analyzed using thematic analysis procedures.

View Article and Find Full Text PDF

Gestational trophoblastic tumors (GTTs) encompass a spectrum of neoplastic conditions, including invasive mole, choriocarcinoma, placental site trophoblastic tumor, and epithelioid trophoblastic tumor. Invasive mole, which frequently develops following a complete hydatidiform mole, represents the most common form. A cancer diagnosis constitutes a profoundly destabilizing experience, often resulting in considerable psychological distress.

View Article and Find Full Text PDF

Background: Mobile health (mHealth) interventions can be effective for people living with HIV, who are sensitive to privacy breach risks. Understanding the perceived experiences of intervention participants can provide comprehensive insights into potential users and predict intervention effectiveness. Thus, it is necessary to plan engagement measurement and consider ways to enhance engagement during the app development phase.

View Article and Find Full Text PDF