Challenges and Opportunities in Interdisciplinary Training: Analysis of a Virtual Learning Experience in Artificial Intelligence for the Healthcare Sector

Advances in Artificial Intelligence (AI), coupled with processing power and data availability, are rapidly transforming clinical practice, biomedical research, and hospital management. Therefore, it is essential that healthcare professionals acquire new skills to interact with these tools effectively, ethically, and safely. The purpose of this paper is to describe the design and development of a Diploma in Artificial Intelligence in Healthcare offered by the Faculties of Health and Engineering at Universidad del Valle (Colombia), as well as to evaluate the initial implementation of this training program. The educational design was based on the TPACK technopedagogical model and the Problem-Based Learning methodology. The experience was evaluated using a multidimensional questionnaire that measured the organizational, pedagogical, technological, and communicational perceptions of the diploma program. The results indicated high satisfaction, highlighting the relevance of the content, the quality of instruction, and the achievement of objectives. Opportunities for improvement focus on strengthening technical skills and developing real-world applications to reduce the digital divide among participants.

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Publication Details

Journal
Journal of Technologies Information and Communication
Published
2026-10-27
DOI
https://doi.org/10.55267/rtic/19674
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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0.00
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article

Challenges and Opportunities in Interdisciplinary Training: Analysis of a Virtual Learning Experience in Artificial Intelligence for the Healthcare Sector

Fanny Constanza Gomez-Villareal, Gloria Isabel Toro-Córdoba
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Journal of Technologies Information and Communication
Artificial Intelligence in Healthcare and Education
article

Challenges and Opportunities in Interdisciplinary Training: Analysis of a Virtual Learning Experience in Artificial Intelligence for the Healthcare Sector

Fanny Constanza Gomez-Villareal, Gloria Isabel Toro-Córdoba
article en

Abstract

Advances in Artificial Intelligence (AI), coupled with processing power and data availability, are rapidly transforming clinical practice, biomedical research, and hospital management. Therefore, it is essential that healthcare professionals acquire new skills to interact with these tools effectively, ethically, and safely. The purpose of this paper is to describe the design and development of a Diploma in Artificial Intelligence in Healthcare offered by the Faculties of Health and Engineering at Universidad del Valle (Colombia), as well as to evaluate the initial implementation of this training program. The educational design was based on the TPACK technopedagogical model and the Problem-Based Learning methodology. The experience was evaluated using a multidimensional questionnaire that measured the organizational, pedagogical, technological, and communicational perceptions of the diploma program. The results indicated high satisfaction, highlighting the relevance of the content, the quality of instruction, and the achievement of objectives. Opportunities for improvement focus on strengthening technical skills and developing real-world applications to reduce the digital divide among participants.

Journal of Technologies Information and CommunicationVol. 6(2)
Universidad del Valle (CO)
Quality education, Good health and well-being
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
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