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“There is no friend as loyal as a book.” -Ernest Hemingway
Synopsis
There are various common definitions of Big Data [1-3] in place, but none of them specifically focuses on Health, Telemedicine and Healthcare. However, recurring characteristics of datasets to be considered as Big Data are the 3 Vs: Volume, Velocity, and Variety [4]. Other researchers even add a fourth V, which some refer to as Value [1, 4] and some as Veracity [5]. For the purpose of this study the authors together with an Expert Group (cf. section 2.2.1) developed the following definition. “Big Data in Health refers to large routinely or automatically collected datasets, which are electronically captured and stored. It is reusable in the sense of multipurpose data and comprises the fusion and connection of existing databases for the purpose of improving health and health system performance. It does not refer to data collected for a specific study.”
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