Big data refer to data that represent the distribution of real data in the real world, and therefore, analytical conclusions and models from the big data have practical meaning for prediction and guidance. Meridian accumulated high-quality homogeneous data from over 1,000 hospitals and physical check-up centers (Secondary Grade A and above) nationwide thru the deployment of healthcare big data platforms. The real situation of the real world is approached infinitely and research of the data is more valuable.
Meridian developed high-efficient, automated data cleansing system. It achieves automatic cleansing by 99.4% in the secondary standardization process, significantly enhancing accuracy and efficiency. The remaining non-standardized data are then manually confirmed by the medical team.
Unified standard for knowledge presentation of different data sources is lacking in China. Data integration is still a huge challenge. Meridian has built a standardized data structure in accordance with the existing national standards and in consideration of realities. As an expert on the National Health Commission-Healthcare Big Data Application Evaluation Standard Committee, Meridian participates in the establishment of national standards and norms thru demonstration projects.
Based on our large standard database, Meridian selects optimal data mining algorithm to build predictive model and deeply explore value. Our modeling involves top medical experts in the field, and advances continuously by machine learning to optimize prediction and guide practice.
The modular platform architecture design provides convenience and help for users to analyze data. More correlations that were difficult to find previously have surfaced on our platform.
Meridian attaches great importance to privacy protection. We de-identify personal data in the whole process from data collection, transportation, storage, to data process, access and back-up. We encrypt sensitive information using “MD5+AES”. When data are uploaded to the analysis platform, the transcoded information is used for identification to control information breach.
In September 2015, the“Special Fund for the Development of Medical Internet of Things” of China Health Promotion Foundation officially launched the “Multi-Center Research Project on the Establishment and Application of Big Data for Physical Examination and Health Management”, aiming to establish standardized “Physical Examination Big Data”. Meridian participated in the project as the exclusive technical partner. Our big data platform and health management platform are deployed in more than 200 national health management demonstration bases (hospital physical examination centers) to conduct research and provide services