河南省某院临床科研大数据中心建设与思考

Establishment of a clinical research big data center in a hospital in Henan province

在大数据时代,如何加强医疗大数据在临床科研中的深度、高效应用,是医院科研数据平台建设的一大挑战。作者针对河南省某三级甲等医院原有临床数据探索系统使用和数据有效利用方面存在的数据低价值密度、医学文本数据结构化难度大和临床科研思维与能力与基于大数据的科研模式不匹配等问题,总结了临床科研大数据中心建设过程中,有效利用医疗数据的相关措施及相关思考,如"前结构化"和"后结构化"结合进行数据采集以控制数据质量;基于非结构化文本数据的机器学习技术探索医学文本数据的深挖掘,完善临床科研大数据智能分析应用功能;加强人才培养以促进临床医生大数据利用能力提升;加强跨学科团队建设和复合型人才培养,以期有效提高医疗大数据利用率与临床科研效率和质量。

In the era of big data,hospital′s research data platform development is faced with challenges in how to strengthen the deep and efficient application of medical big data in their clinical research.The authors studied such problems of a tertiary hospital in Henan as low data value density,difficulty in structuring medical text language and mismatch between clinical research thinking and ability,in terms of the use of existing clinical data exploration system and effective use of data.Based on results of the study,they summarized relevant measures for effective use of medical data and considerations in the establishment of a clinical research big data center.For example,combination of"pre-structuring"and"post-structuring"in data collection for data quality control;exploration of deep mining of medical text data using machine learning technology based on unstructured text data,and perfection the intelligent analysis application function of clinical research big data;enhancement of talent training to promote clinicians′capacity in using clinical big data;and enhancement of multi-disciplinary teambuilding and composite talent cultivation,for the purposes of more efficient use of medical big data and higher efficiency and quality of clinical research.