Research on Medical Big Data of Health Management Platform Based on Hadoop

The digitization process in the medical field continues to advance in depth and gradually enters the stage of smart medical treatment. Starting from the construction of the medical big data of health platform, this paper aims at the current problems of massive medical heterogeneous data resources and sharing, the difficulty of effective fusion of multi-source heterogeneous information in intelligent health services, and the real-time early warning of diseases, combined with the necessity of Hadoop platform and clinical medical data sharing, the HDFS distributed file system is used to manage metadata to improve the efficiency of integrated management of massive data; the data sharing mode of HBase is adopted to improve the degree of data sharing, with the HBase engine, Hive engine, SQLServer engine, etc., to meet the intelligence of different business data between heterogeneous, establish a data center with storage and management of patient health records and disease early warning as the core, and propose a big data management platform based on Hadoop to promote the scientific, professional, digital and refined operation and management of hospitals.