This study discusses the main findings from a systematic literature review about Big Data and analytics in the healthcare field. Although the use of Big Data in healthcare is emerging as fashionable research topic, policy-makers and healthcare professionals still struggle on how to unfold the potential value locked in Big Data. In fact, despite the promises that Big Data will change the way knowledge will be generated and managed in healthcare, little is known about how knowledge generated by big data can be used for managerial and decision making purposes. We conducted a systematic literature review in PubMed and Scopus databases, by combining “big-data” and “health care” with the following keywords: decision making, management, knowledge, knowledge generation, and knowledge creation. From 229 articles identified, 77 studies were selected coherently to our inclusion/exclusion criteria. Emerging topics on the use of big data for decision making in healthcare are: Knowledge development from Big-Data, Big-Data for clinical decision making, Big-Data ethical and legal issues, Big-Data definition and opportunities, and Big-Data for policy making. The large majority of selected studies were theoretical or conceptual, without empirical data. Empirical studies are mainly based on experiments, single/multiple case studies. These results call for empirical research in the next years about Big Data in healthcare to extent current theories and crystallize good practices. Four previous literature reviews have been carried out on concepts related to Big Data and analytics in healthcare. Although their value, one focused to Big Data definition, one of them was limited to Electronic Medical Records (EMRs) as source of Big Data, the other two articles present Big Data challenges in scientific research and healthcare. Moreover, the 4 reviews have been published on healthcare journals, with limited attention to management insights. Our literature review offers a more comprehensive understanding of the state of art of Big Data and analytics in healthcare, narrowing the current gap about managerial implications. In this view, our literature reviews adds value to our current understanding and provide scholars of knowledge management with directions for future research. Big Data are expected to radically change the way evidence is generated in healthcare. Results from this systematic literature review show topics/applications that have been investigated so far, thus supporting policy-makers, healthcare professionals as well as practitioners to identify best practices and set priorities for the next years.