基于大数据的院级临床科研平台建设与实践

Construction and Practice of Hospital-grade Clinical Research Platform Based on Big Data

目的:数据的应用有待进一步研究分析,可以为提高医院整体医疗服务的质量提供辅助和支持。方法:阐述通过利用人工智能、知识图谱、分布式数据库、语义标签化、可视化等大数据技术,探索并构建基于大数据的院级临床科研平台。结果:平台包含科研数据管理、语义标签化查询、多维度统计分析等功能,满足临床科研人员的需求。结论:科研数据平台使科研人员将精力放在科研本身,节约科研人员的时间,提高科研产出。

Objective: The application of these data needs to be further studied and analyzed to provide assistance and support for improving the quality of the hospital’s overall medical services. Methods: Based on artificial intelligence, knowledge graph, distributed database and semantic tagging and semantic visualization technology, we explore and construct a hospital-grade clinical scientific research platform based on big data. Results: The platform includes functions of scientific research data management, semantic tagging inquiry and multi-dimensional statistical analysis, to meet the needs of clinical researchers. Conclusion: Building a high quality platform enables researchers to focus on the scientific research itself, save researchers’ time and improve scientific research output.