Transformation in the Management of Chronic Diseases in Ecuador Through the Use of Big Data

The growing prevalence of non-communicable chronic diseases in Ecuador, evidenced by a survey conducted by the World Health Organization in 2020, which determined that these diseases are the leading cause of disability and death worldwide, has highlighted the urgency of adopting innovative approaches for their management. In this context, Big Data emerges as a transformative tool by integrating large volumes of data from various sources, facilitating more efficient healthcare decision-making. This article explores how Big Data can optimize the prevention, diagnosis, and treatment of non-communicable chronic diseases in Ecuador by identifying patterns and risk factors that might go unnoticed. The integration of data allows for personalized treatments, anticipating complications, and improving resource allocation, thereby reducing costs and improving the quality of life for the population. A mixed methodology combining quantitative and qualitative analysis, epidemiological and clinical data will be examined, applying advanced data mining and machine learning techniques to detect key trends and correlations. Additionally, interviews will be conducted with healthcare professionals to understand the challenges and opportunities in managing these diseases. The results reveal how Big Data can predict outbreaks, personalize treatments, and improve the efficiency of medical resources, providing a comprehensive view that optimizes the management of chronic diseases. In summary, adopting Big Data in Ecuador represents a decisive step towards more efficient, proactive, and personalized healthcare. Despite technological and ethical challenges, its implementation promises to transform the healthcare system and improve long-term care, highlighting the need to continue investing in digital solutions for public health.