精神疾病医疗大数据平台的构建及应用

Construction and Application of Big Medical Data Platform for Mental Disorders

分析精神疾病临床诊疗特色与应用需求,基于Hadoop生态构建医学数据中台,采用通用数据模型和标准数据元字典建设精神疾病医疗大数据平台,将临床诊疗数据转化为易提取、宜分享的研究数据库;采用分布式计算框架提供对医学数据的实时与全量计算、机器学习、图计算能力,实现高效查询、多维统计和分析,为精神疾病科学研究、医疗服务质量管理和运营管理提供支持。

The medical big data platform for mental illness was constructed by analyzing the clinical characteristics and application needs of mental disorders,which was built on the Hadoop ecological construction and used common data model and standard data element dictionary. The construction of the medical big data platform distributes computing framework which provides real-time and full-scale computing,machine learning,and map computing capabilities of medical data,provides efficient inquiries,multi-dimensional statistics and analysis,and supports for scientific research,medical service quality management and operation management.