Big data means a large amount of data that are too complex and too fleet to be managed by human. In the area of healthcare, millions of new data appear from various sources such as electronic health records, biometric data, medical images, and social media data. To analyze the structured/unstructured information in big health data, four challenges are indicated: volume, velocity, variety, and veracity (4Vs). The information technologies like cloud computing and machine learning help overcome these challenges. Big health data are currently applied in outpatient recommendation, clinical decision supporting, risk prediction, resource management, public health, disease prevention, and so on. That makes more efficient use of medical resources and promotes human health.
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