AI in Healthcare Curriculum: Fostering Equity through Inclusive Educational Technologies

Abstract

As Artificial Intelligence (AI) becomes an integral part of healthcare, its potential to revolutionize medical practices and patient outcomes hinges on the workforce's preparedness. To address this, the development of an AI-focused healthcare curriculum is essential, particularly one that emphasizes inclusivity and equity. By embedding AI education into healthcare training, we can equip healthcare professionals with the skills to leverage AI technologies effectively while ensuring that they understand the ethical, cultural, and social implications of AI in practice. An inclusive AI healthcare curriculum should promote diversity, ensuring that students from various backgrounds, especially those from underrepresented groups, have equal access to educational opportunities in AI. Furthermore, educational technologies that support personalized learning and address the varying levels of digital literacy among students can foster an equitable learning environment. In doing so, AI’s benefits in healthcare can be democratized, ensuring that no group is left behind as AI technologies are integrated into clinical practices. A curriculum that values both technical skills and socio-ethical considerations can prepare future healthcare leaders to address challenges such as algorithmic bias, privacy concerns, and health disparities. This paper discusses the role of inclusive educational technologies in building a diverse AI workforce and the ethical importance of ensuring that AI innovations in healthcare serve all populations equitably. It argues that by fostering an inclusive and equitable AI healthcare curriculum, we can not only advance healthcare innovation but also safeguard against widening healthcare inequities.