医疗数据范围检索框架设计

Design of Range-Query Framework for Medical Data

目的医疗信息化的快速发展,以及各种数据中心的兴起,造成医疗数据量的快速增长,而医疗数据经常会涉及到大量与范围查询相关的信息需求,对医疗海量数据进行快速有效的范围查询,成为各数据分析机构所面临的急需解决的技术难题。方法文中提出一种基于分组的并行检索框架及其实现算法。结果通过模拟实验发现,该框架可以有效提高海量数据的范围查询性能。结论将该算法运用于医疗信息化平台,可为各种海量医疗信息范围检索的应用场景提供技术基础。

Objective As more and more regional medical and social medical insurances are springing up and being integrated, the amount of data is increasing in thousands records daily. Meanwhile, dealing medical data involves many range - query requirements. The challenge is how to effectively meet the range - query demand of massive medical information, which has become an urgent problem faced by the medical institutions and data center management. Methods The paper presents a parallel indexing framework based on data partition. Results ＆ Conclusion This paper presents a parallel indexing framework based on data packet which lays the foundation for the realization of efficient range - query from massive medical information.