Mechanisms for aggregation, storage, secure sharing of regional health and medical big data

Background With the development and application of cloud computing, big data, and artificial intelligence technologies, the sources of medical data are gradually increasing. However, massive data resources are difficult to be effectively utilized.

Objective To establish a regional health medical big data platform, so as to solve the problem of cross institutional data security sharing through data aggregation, storage, and security sharing mechanisms.

Methods The regional health and medical big data were managed, aggregated and stored to construct a multi-source and multi-modal heterogeneous data model for data fusion, and the blockchain mechanism was applied for data security sharing.

Results The regional health and medical big data catalog and standard specifications were formulated, the multi-source and multi-modal heterogeneous data model and the medical big data sharing security mechanism were designed, and a unified regional health and medical big data platform was established.

Conclusion The implementation achieves data integration among regional hospitals, laying the foundation for the fusion and application of multi-source, multi-modal, and heterogeneous data. This provides data sharing services for the research work of healthcare professionals.