Work

The Effectiveness of Applying Artificial Intelligence in Sick Children’s Communication

Year: 2024

Type: article

Abstract: Pediatric nursing students are required to be taught how to overcome their own psychological stress during their internship in order to understand sick children’s emotional reactions, as well as to be able to interact and communicate with such children. This quasi-experimental study proves that the application of AI image health education e-books by the nursing teacher is more effective than traditional paper handout teaching materials in improving nursing students’ self-efficacy when using therapeutic games to deal with and reduce sick children’s fears of medical examinations and treatments (p < 0.05). AI-driven tools can enable the development of personalized e-learning materials that target specific areas for cognitive improvement. This targeted approach can enhance knowledge retention and skill development, resulting in better-prepared healthcare professionals.

Source: Bioengineering

DOI: 10.3390/bioengineering11111097

Authors: Hsin-Shu Huang, Bih-O Lee

Institutions: Central Taiwan University of Science and Technology, Kaohsiung Medical University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: gold

Estimated APC paid: $3,069