跨院区分布式医疗数据采集融合平台设计与实现

Design and Implementation of Distributed Data Collection and Fusion Platform for Multi-branch Medical Institutions

目的 解决区域性数据中心或多院区医疗机构进行跨院区数据采集、融合所面临的突出困难。方法综合运用全增量无缝衔接、数据变更捕获、一致性比对、容错机制及带宽优化等关键技术,设计了数据汇聚部署、同步组织、管理控制等平台功能模块。结果 构建了分布式数据采集融合平台,解决多源异构数据归一性、完整性和保鲜性问题,实现跨院区、跨系统、跨领域的医疗数据实时汇聚融合。结论 分布式数据采集融合平台支持区域性数据中心或多院区医疗机构对医疗、管理、科研等方面数据价值进行挖掘,对满足全量实时贴源数据的迫切需求进行有效的技术性探索。

Objective The platform is designed to resolve the prominent difficulties faced by regional data centers or multi-branch medical institutions in multi-source data collection and fusion.Methods In this study,some key technologies are applied,such as seamless connection between full data and incremental data,change data capture,consistency comparison,fault tolerance mechanism,and bandwidth optimization,and functional modules are designed,such as data aggregation deployment,synchronous organization,and management control.Results A distributed data collection and fusion platform has been constructed to solve the problem of multi-source heterogeneous data normalization,integrity and preservation.Based on it,the real-time aggregation and integration of medical data across hospital areas,systems,andfields has been achieved.Conclusion The platform can support regional data centers and multi-branch medical institutions in data value mining,such as medical treatment,management,and scientific research.This study is an effective technical exploration to meet the demands for full real-time operational data.