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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,...
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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Visual narratives in nursing education: A generative artificial intelligence approach.

Linh Duc Tran1, Neo Tung2, Eugene Tordecilla Macalinga3

  • 1School of Science, Engineering and Technology, RMIT University, Viet Nam.

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Generative Artificial Intelligence (GAI) tools like DALL-E can create visual narratives for nursing education, overcoming design challenges. Educators should use GAI as a co-pilot, addressing accuracy and legal issues for enhanced learning.

Keywords:
DALL-EGenerative artificial intelligenceNursing educationVisual narrative

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Area of Science:

  • Nursing Education
  • Artificial Intelligence
  • Visual Communication

Background:

  • Visual narratives are effective for complex nursing concepts.
  • Creating educational comics faces challenges in graphic design expertise, time, and resources.

Purpose of the Study:

  • To investigate the use of Generative Artificial Intelligence (GAI) models, such as DALL-E, for creating visual narratives in nursing education.
  • To explore GAI's potential in developing educational comics and graphics for nursing.

Main Methods:

  • Literature review on visual narratives in education.
  • Analysis of DALL-E's capability to generate visual narratives for nursing education.
  • Demonstration with examples for sensitive topics, research methods, and clinical trial recruitment.
  • Discussion of text accuracy, prompt interpretation, copyright, and legal considerations.

Main Results:

  • GAI, specifically DALL-E, shows significant potential for creating nursing education visual narratives.
  • GAI offers cost-effectiveness and accessibility but requires managing text errors, prompt misinterpretations, and legal concerns.

Conclusions:

  • GAI models like DALL-E can enhance visual storytelling in nursing education.
  • Effective integration requires educators to collaborate with GAI as co-pilots, mitigating risks.
  • GAI can enrich nursing education through compelling visual narratives when used thoughtfully.