Big Data in Health Information Systems

Abstract

In the healthcare sector, Information Systems are fundamental for decision-making at all levels. This process can be strengthened with the implementation of Big Data analytics. In this context, the present study aims to describe the experiences, benefits, and applications of Big Data in Health Information Systems through a systematic literature review. The research reviewed 22 studies on the use of Big Data in the healthcare sector, applying inclusion and exclusion criteria to select relevant studies. The results of these studies indicated that the use of Big Data in healthcare can improve the quality of teleassistance services for patients, as well as logistics and financial services. It can also prevent diseases and improve patient care in public health information systems. Additionally, it can provide new knowledge and actionable information from new data sources, and promote the natural transformation of descriptive research into predictive and prescriptive research. The studies also highlighted the importance of Artificial Intelligence for data to be useful for research and medical purposes. In general, the research concluded that Big Data has a favorable impact on the healthcare sector, especially in biomedical research, and that its use can improve the efficiency and quality of medical care.