The Impact of Big Data Analytics on Healthcare Marcelo Lamy, Klauss Carvalho De Malta, Mateus Santana Gomes Varjão

Abstract

 Big Data analysis in healthcare enables early diagnosis, cost reduction, and personalized medicine, but faces interoperability challenges. Problem: The lack of interoperability in healthcare systems makes it difficult to share data and limits Big Data analysis. Objectives: to analyze Big Data in health, highlighting early diagnosis, cost reduction, and epidemic prediction. Methods: anchored in the INCOR Editorial and ScienceDirect article, an exploratory review was carried out, with a qualitative bias. Conclusions: this analysis is crucial for early diagnosis, cost reduction, and epidemic prediction. However, it faces challenges such as the lack of interoperability between health systems and regulatory issues of data privacy.