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

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 (<i>p</i> < 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.

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Publication Details

Journal
Bioengineering
Published
2024-10-31
DOI
https://doi.org/10.3390/bioengineering11111097
Citations
3
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
1.92
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article

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

Bih‐O Lee, Hsin-Shu Huang
3 citations
Bioengineering
Health and Well-being Studies
1.92
article

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

Bih‐O Lee, Hsin-Shu Huang
article en
3 citations

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 (<i>p</i> < 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.

BioengineeringVol. 11(11)
Kaohsiung Medical University (TW), Central Taiwan University of Science and Technology (TW)
Quality Education
Openalex Percentile: Top 14%
Health and Well-being Studies
1.92
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