This review provides an overview of surgical management and outcomes of bariatric surgery in the USA. Large databases offer useful complementary information that could be considered external validation when strong evidence-based medicine data are lacking. They also allow us to evaluate infrequent situations for which randomized control trials are not feasible and add specific information that can complement the quality of surgical knowledge.

NSQIP and NIS databases are just the tip of the iceberg for the potential application of Big Data technology and analysis in MIS. Information obtained through big data is useful and could be considered as external validation in those situations where a significant evidence-based medicine exists; also, those databases establish benchmarks to measure the quality of patient care. Data retrieved helps to inform decision-making and improve healthcare delivery.

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