基于智能医学数据中台的大数据科研平台应用实现

The Application Implementation of the Scientific Research Platform of Big Data Based on the Intelligent Middle Platform of Medical Data

目的:通过建立大数据科研平台,提高临床科研的效率及质量,并促进研究成果有效转化。方法:根据广州医科大学附属第二医院实际情况,建立以智能医学数据中台为核心的大数据科研平台,通过专病库建立、描述性统计分析、统计挖掘、单病种分析及疾病预测等,优化科研流程,提升科研质量,实现科研成果的临床应用。结果:目前,广州医科大学附属第二医院大数据科研平台已累积经过规范化处理的住院患者252 047人次,门诊患者10 272 948人次,覆盖病历文书、医嘱、检验检查报告、课题随访数据等在内的37种文档类型,辅助医生建立疾病研究人群200多个、研究课题10余项。结论:与传统人工操作相比,大数据科研平台在数据抽取、统计及分析等方面,均有着明显优势,在疾病预测等临床应用方面也显示出广阔前景。

Objective: To improve the efficiency and quality of clinical scientific research and promote the effective transformation of research results by establishing the scientific research platform of big data. Methods: According to the actual situation of the Second Affiliated Hospital of Guangzhou Medical University, the scientific research platform of big data with the middle platform of intelligent medical data as the core is established. Through the establishment of the specialized disease database, descriptive statistical analysis, statistical mining, single disease analysis and disease prediction, the scientific research process is optimized, the quality of scientific research is improved, and the clinical application of scientific research results is realized. Results: At present, the scientific research platform of big data of the Second Affiliated Hospital of Guangzhou Medical University has accumulated 252 047 inpatients(persontimes) and 10 272 948 outpatients(person-times) after normative processing;covered 37 document types, including medical records, medical orders, inspection and test reports, and subject follow-up data;and assisted doctors to establish more than 200 disease research groups and more than 10 research subjects. Conclusion: Compared with the traditional manual operation, the scientific research platform of big data has obvious advantages in data extraction, statistics and analysis, and a broad prospect in the aspects of clinical application, such as disease prediction.