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Practical Data Mid-Platform Design and Implementation for Medical Big Data

Big Data has attracted much attention in academia and industry fields in the last few years. The trend of utilizing medical big data has increased tremendously as well. The medical big data is generated from medical records, medicine, research, etc. but it is not well connected due to its long-term development in last decades in most hospitals without high-level strategic guide and plan. The information missing, data dispersivity, information isolated island, redundancy problems are key to the failure of the big data platform which is used to manage the medical data asset. We propose a platform called Data Mid-Platform (DMP) to solve the above problems and serve other big data projects as well as scientific assignments. The feasibility of this mid-platform is highly recommended and certified by several domain experts and it is under construction in a real project. It aims to satisfy at least 3 to 5 years big data applications development under the perspective of big data top-level design.