Research Of Architecture Of Large Data Based Wisdom Mobile Medical Information System

Medical data is growing in exponential with the rapid development of information technology in healthcare medical big data, which brought great pressure to current hospital information system. With the emergence of a variety of unstructured data, existing health information systems cannot meet the requirements for large data storage on a storage space and speed and structure which lead to giving up a lot of data, resulting in a large number of valuable medical data loss. On the other hand, with the deepening understanding to big data, it has become urgent to explore the hidden treasures of the medical big data. While the existing systems have low data integrity, slow data processing speed, it is obvious that existing systems cannot meet user’s demands of data processing Efficiency.In order to solve these problems, with a deep study of basic medical information and development, big data and big data key technologies, this paper comes up with a structure of wisdom mobile health care system based on big data.The system is composed by three layers-the infrastructure layer, the information layer and the service layer, each layer is analyzed deeply. At the end, the paper gives a prototype of the system implementation, by the use of sophisticated mobile networking equipment for large data collection, to ensure the comprehensiveness of data; the system also uses the world’s advanced big data solution Hadoop to store collected data for analyzing, this solution also ensure that the medical institutions can invest less to get ability to store large data. In addition, the provided system also provides different levels of service for patients, medical institutions and medical partners to ensure that big data can serve the people.