Transforming healthcare using big data: a systematic and bibliometric review

Gamboa-Cruzado J.; Fernandez-Perez K.; Laura-Abarca H.; Alzamora Rivero C.; Cubas Agreda R.; Salazar-Marzal A.; Durán Carhuamaca A.; Nuñez Meza Á. · Frontiers in Digital Health (2026) · DOI: 10.3389/fdgth.2026.1807970

Resumen

Introduction – The application of Big Data in healthcare enhances disease management by improving diagnostics and treatments, offering a foundation for positive impacts on the health of diverse populations. Objective – This paper aims to analyze the impact of Big Data on healthcare through a comprehensive review of scientific papers that explore its application in the management, diagnosis, and treatment of various diseases, assessing its benefits, challenges, and potential to revolutionize healthcare systems. Methods – The study compiled 63 papers from sources such as Web of Science, IEEE Xplore, Scopus, ScienceDirect, and ACM Digital Library, conducting an exhaustive systematic review of publications from 2018 to 2024 on the use of Big Data in healthcare. Results – The findings indicate that prediction and decision-making are the most relevant criteria for evaluating the effectiveness of Big Data in healthcare. Additionally, it was observed that most research is published in journals ranked at the Q1 quartile level. Discussion – Insights are provided on how Big Data criteria can optimize healthcare delivery, to guide evidence-based decision-making and healthcare system optimization.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Nacional Daniel Alcides Carrión; Universidad Nacional Federico Villarreal; Universidad Nacional de Cañete