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Vibe Coding to Democratize Dementia mHealth Development: Preliminary Findings
Carola Keila Quispe1, Esperanza Berhongaray Kenny1,2, Ignacio Gamez1,3
1Faculty of Medicine, Universidad de Buenos Aires, C.A.B.A, Argentina.
Studies in Health Technology and Informatics
|July 3, 2026
Summary
Vibe coding tools empower health professionals to create digital health applications, but require training in data security and AI fundamentals for safe and effective use.
Area of Science:
- Digital Health
- Health Informatics
- Artificial Intelligence
Background:
- Vibe coding tools leverage generative AI for natural language-based software development, lowering technical barriers.
- The potential of these tools for empowering non-programmers in healthcare is significant but under-researched.
Purpose of the Study:
- To assess the efficacy of vibe coding tools in enabling health professionals to develop digital health applications.
- To identify factors that facilitate or hinder their use, alongside associated risks.
Main Methods:
- A design science approach was employed, involving a 3-hour workshop with medical students.
- Participants used a vibe coding platform to develop mHealth prototypes for dementia care challenges.
- Data collection included participant observation, artifact review, and a satisfaction survey.
Main Results:
- All groups successfully created functional mHealth prototypes for dementia care.
- Enablers included ease of use, rapid feedback, and clinical relevance.
- Barriers comprised lack of knowledge in data privacy, absence of security features (e.g., authentication, encryption), and overly broad scope definition.
Conclusions:
- Vibe coding tools can bridge the gap between healthcare professionals and digital application development.
- Democratization requires complementary education in data security, health informatics, and AI principles.
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