Benefits and challenges of artificial intelligence in the Colombian health system

Abstract

This study explored the impact of artificial intelligence (AI) on the Colombian healthcare system, focusing on its potential to improve diagnosis, treatment, and resource management, the methodology included a literature review and case study analysis in rural and urban areas, findings revealed that AI can enhance the accuracy and speed of clinical decision-making, address the lack of specialist access in remote areas, and personalize medical treatments. However, significant challenges were also identified, such as insufficient technological infrastructure, the need for adequate health personnel training, and ethical and data protection concerns. It was concluded that to maximize the benefits of AI and minimize its risks, careful planning, adequate investments in infrastructure and continuous staff training, as well as robust ethical and legal regulation, are essential. Additionally, the importance of designing AI implementation policies that consider and address existing inequalities in access to healthcare services was emphasized

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