摘要
精准医学的发展与应用离不开对医疗大数据的集成处理与深入挖掘,而数据采集是大数据分析的基础,成为大数据集成应用与精准医疗服务首先需要解决的问题。本文基于对传统数据采集及其局限的讨论,提出一套面向精准医疗的数据采集方法,并对其支撑要素进行探讨。研究结果为明确大数据采集技术与所需条件,夯实精准医学的应用基础,推动精准医疗服务的良性发展,提升精准医疗服务的效率和质量等,提供了信息参考与技术支撑。
The development and application of precision medicine is inseparable from the integrated processing and deep mining of medical big data.Data collection is the basis and premise of big data analysis,which was considered as the first problem to be solved in big data integration application and precision medical service.Based on discussion on traditional data collection and its limitations,a set of data collection methods for precision medicine was put forward.And its supporting elements were also discussed,which can provide information reference and technical support to clarify the existing technologies and necessary conditions of big data collection,consolidate the application basis of precision medicine,promote the development of precision medicine,and ultimately improve the efficiency and quality of precision medical services.
作者
高景宏
翟运开
何贤英
崔芳芳
石金铭
赵杰
Gao Jinghong(The First Affiliated Hospital of Zhengzhou University,Zhengzhou,P.R.China)
出处
《中国卫生事业管理》
北大核心
2020年第6期405-407,425,共4页
Chinese Health Service Management
基金
国家重点研发计划“精准医学研究”重点专项(2017YFC0909900)
河南省重大科技专项(151100310800)
河南省高校科技创新团队支持计划(20IRTSTHN028)。
关键词
精准医疗
大数据
数据采集
支撑要素
precision medicine
big data
data acquisition
supporting elements
