Volume 5, numéro 1, mars 2025

EN :

Artificial intelligence (AI) is rapidly transforming various sectors, including healthcare and education. In nursing, AI has the potential to enhance educational outcomes and improve clinical practices. The study aim to explore the nuanced experiences and perceptions of nursing students at Bayero University, Kano, in relation to the use of AI in their academic and clinical environments. A qualitative narrative inquiry was conducted among nursing students at Bayero University, Kano. Focus group discussion was used to collect data from the participants. Thematic analysis was employed to identify and interpret themes related to their experiences and perceptions of AI. The study identified that the majority of students have engaged with AI technologies primarily for academic purposes, such as researching assignments and accessing clinical information. However, they demonstrated limited awareness of nursing-specific AI tools. Participants also reported significant challenges related to network connectivity and data access, which hindered their use of AI. Despite these challenges, the overall perception of AI was positive, with students acknowledging its potential to improve nursing education and practice. Concerns about technical errors, over-reliance, and job displacement were also noted. Nursing students at Bayero University, Kano, recognize the potential benefits of AI in education and clinical practice but face significant challenges due to infrastructural limitations. Their positive perception of AI suggests an openness to its integration into nursing, provided that technological and educational barriers are addressed. The findings highlight the need for improved technological infrastructure, targeted training on AI applications in nursing, and a balanced approach to integrating AI with human expertise.

EN :

Background: Hypertension affects nearly 50% of adult Americans and can lead to serious cardiovascular complications, including myocardial infarction, stroke, and death. The Centers for Disease Control [CDC] (n.d.) noted that hypertension costs $131 billion a year in healthcare visits, medications to treat high blood pressure, and loss of productivity due to premature death.

Methods: The project consisted of four Plan-Do-Study-Act cycles that implemented two core interventions, with tests of change for each cycle driven by study of the data.

Results: Repeating blood pressure measurements improved from 14% to 69% over eight weeks, with a z-score calculated regarding the aim with a pre- and post-implementation p < 0.0001. Hypertension screening was used with 84% of eligible participants, and patient engagement was used with 39%.

Conclusions: This project improved hypertension screening and increased patient engagement. The interventions can be easily implemented in similar settings.