Innovating Emergency Medicine: Generative AI, Narrative Medicine, and Human-Centered Design

Background: Emergency medicine in resource-limited settings faces a growing burden of disease and disability. This article presents the "Create to Innovate" (C2i) masterclass, built using Human-Centered Design Thinking (HCDT). It explores narrative medicine through AI-generated storytelling. The study aimed to assess (1) how generative AI contributes to emergency medicine innovation and (2) its impact on participants' emotional engagement. Methods: The C2i masterclasses were held in Karachi, Pakistan (December 2023) and Lagos, Nigeria (March 2024). This study used an explanatory mixed-methods approach, collecting quantitative data from a post-intervention 'MoodBoard' survey and qualitative data from AI-generated children's stories. The total sample size was 60 participants. The quantitative data was analyzed using descriptive statistics and a two-sample t-test comparing responses between the Karachi and Lagos cohorts. Results: The study included 22 participants in Karachi and 38 in Lagos. The MoodBoard visual analog scale revealed a significant difference in the mean scores between the two cohorts (Karachi: 3.74 vs. Lagos: 3.96, p < 0.05, CI: -0.42 to -0.01). The AI-generated stories revealed themes of prosocial behavior, resourcefulness, and health awareness. Conclusion: The masterclass achieved its goal of fostering innovative solutions through storytelling. The MoodBoard survey highlighted its effectiveness and enjoyment. The imaginative stories offered educational insights into healthcare challenges, highlighting their potential for broader applications in healthcare education and professional training.

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Publication Details

Journal
ConductScience Journal
Published
2025-04-24
DOI
https://doi.org/10.55157/csj.v1i2.03
Primary Topic
Empathy and Medical Education
Type
article
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article

Innovating Emergency Medicine: Generative AI, Narrative Medicine, and Human-Centered Design

Ahmed Seffah, Ahmed Raheem, Asad Mian, Zunaira Namal
ConductScience Journal
Empathy and Medical Education
article

Innovating Emergency Medicine: Generative AI, Narrative Medicine, and Human-Centered Design

Ahmed Seffah, Ahmed Raheem, Asad Mian, Zunaira Namal
article en

Abstract

Background: Emergency medicine in resource-limited settings faces a growing burden of disease and disability. This article presents the "Create to Innovate" (C2i) masterclass, built using Human-Centered Design Thinking (HCDT). It explores narrative medicine through AI-generated storytelling. The study aimed to assess (1) how generative AI contributes to emergency medicine innovation and (2) its impact on participants' emotional engagement. Methods: The C2i masterclasses were held in Karachi, Pakistan (December 2023) and Lagos, Nigeria (March 2024). This study used an explanatory mixed-methods approach, collecting quantitative data from a post-intervention 'MoodBoard' survey and qualitative data from AI-generated children's stories. The total sample size was 60 participants. The quantitative data was analyzed using descriptive statistics and a two-sample t-test comparing responses between the Karachi and Lagos cohorts. Results: The study included 22 participants in Karachi and 38 in Lagos. The MoodBoard visual analog scale revealed a significant difference in the mean scores between the two cohorts (Karachi: 3.74 vs. Lagos: 3.96, p < 0.05, CI: -0.42 to -0.01). The AI-generated stories revealed themes of prosocial behavior, resourcefulness, and health awareness. Conclusion: The masterclass achieved its goal of fostering innovative solutions through storytelling. The MoodBoard survey highlighted its effectiveness and enjoyment. The imaginative stories offered educational insights into healthcare challenges, highlighting their potential for broader applications in healthcare education and professional training.

ConductScience JournalVol. 1(2)
Openalex Percentile: Top 84%
Empathy and Medical Education
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Innovating Emergency Medicine: Generative AI, Narrative Medicine, and Human-Centered Design — Ahmed Seffah, Ahmed Raheem, et al. · ConductScience Journal (2025) | TGRS Research Map | TGRS