The purpose of this study is to understand the concepts and evolution of big data analytics applied to health services, considering activities that involve the diagnosis, treatment, and management of the patient. The literature review, consulting the databases Science Direct, Scopus and Web of Science and employing the keywords health analytics and big data analytics with no time restrictions, found papers that approach, specifically, the use of big data analytics in the context of healthcare, represented by examples and related analyses. Clarifying its concepts and the evolution of its performance foments the development of new research.Thus, time and decision-making appear as actions developed by both the information technology team and the clinical team, which, based on the interpretations of big data analytics involving patients, may consider variables such as cost, time, decision, and functional structure performance as the main determining factors aligned with corporate strategy. This work expects to foster research on aspects of public health, in addition to considering the concern with the survival of affected people.