Big data. Alternativa para una salud inteligente. Revisión de un modelo conceptual
Keywords:
Big data; cuidado de la salud; análisis en big data; sistemas de información en salud; marco conceptualAbstract
Introduction: Big Data emerged in the 1990s and refers to large volumes of complex data that can not be managed with traditional tools. Its fundamental characteristics are volume, speed and variety, although other characteristics have been added with the idea of improving the reliability of the information. In the field of health, this technology has transformed the collection and analysis of medical data from different sources, with the intention that the results are applicable to the population. The safe management of information remains a pending task.
Objectives: To review some topics related to this topic, and briefly analyze the phases of use and processing of Big Data through a conceptual model. The last objective, is to describe how the conceptual model can be applicable in psychiatry.
Material and methods: A search was carried out in databases such as Google Scholar, PubMed and Web of Science, using terms recommended in the MeSH to optimize the search. Original articles, reviews and meta-analyses published in the last five years were selected.
Results: Big Data has facilitated the personalization of treatments, and the creation of predictive diagnosis and preventive models in health. It has also optimized hospital management and decision-making. The development of computer technology, has enabled these achievements. The lack of standardization in systems, and concerns about data privacy continue to be a challenge.
Conclusions: Despite its potential, Big Data remains limited by interoperability and data quality. It is essential to implement ethical frameworks and standardize processes for its effective implementation, especially in areas such as psychiatry.
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Accepted 2025-05-29
Published 2025-06-25
