Utilizing Computational Tools in Biomedical Education to Promote Sustainable Healthcare Solutions: A Multidisciplinary Approach

Document Type

Conference Proceeding

Source of Publication

Proceedings of the 29th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2025)

Publication Date

9-9-2025

Abstract

The rapid evolution of computational tools, such as artificial intelligence (AI) and machine learning, presents transformative opportunities for biomedical education. This paper explores the integration of these technologies into educational curricula to promote sustainable healthcare solutions. It highlights the potential of computational tools in optimizing resource allocation, enhancing patient outcomes, and fostering interdisciplinary collaboration among educators, healthcare professionals, and tech experts. Through virtual laboratories, adaptive learning systems, and predictive analytics, these tools offer innovative approaches to medical training, ensuring that future healthcare professionals are equipped to address sustainability challenges. The paper further examines how computational technologies can mitigate environmental impacts by reducing resource consumption and waste in healthcare practices. It emphasizes the need for equitable access to these tools, especially in underserved regions, and discusses the challenges and opportunities in integrating technology without compromising humanistic aspects of patient care. Ultimately, the paper advocates for the inclusion of computational tools in biomedical education as a means of developing a sustainable and inclusive healthcare workforce.

ISBN

[9781950492855]

ISSN

2771-0947

Publisher

International Institute of Informatics and Cybernetics

First Page

24

Last Page

31

Disciplines

Computer Sciences | Education

Keywords

artificial intelligence, biomedical education, Computational tools, interdisciplinary collaboration, sustainable healthcare

Scopus ID

105021493537

Indexed in Scopus

yes

Open Access

no

Share

COinS