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Alternatives to relational database : comparison of NoSQL and XML approaches for clinical data storage

机译:关系数据库的替代方案:NoSQL和XML方法用于临床数据存储的比较

摘要

Clinical data are dynamic in nature, often arranged hierarchically and stored as free text and numbers. Effective management of clinical data and the transformation of the data into structured format for data analysis are therefore challenging issues in electronic health records development. Despite the popularity of relational databases, the scalability of the NoSQL database model and the document-centric data structure of XML databases appear to be promising features for effective clinical data management. In this paper, three database approaches - NoSQL, XML-enabled and native XML - are investigated to evaluate their suitability for structured clinical data. The database query performance is reported, together with our experience in the databases development. The results show that NoSQL database is the best choice for query speed, whereas XML databases are advantageous in terms of scalability, flexibility and extensibility, which are essential to cope with the characteristics of clinical data. While NoSQL and XML technologies are relatively new compared to the conventional relational database, both of them demonstrate potential to become a key database technology for clinical data management as the technology further advances.
机译:临床数据本质上是动态的,通常按层次排列并存储为自由文本和数字。因此,临床数据的有效管理以及将数据转换为用于数据分析的结构化格式是电子健康记录开发中的难题。尽管关系数据库很受欢迎,但是NoSQL数据库模型的可伸缩性和XML数据库的以文档为中心的数据结构似乎是有效临床数据管理的有希望的功能。在本文中,研究了三种数据库方法-NoSQL,支持XML和本机XML,以评估它们对结构化临床数据的适用性。报告了数据库查询性能,以及我们在数据库开发中的经验。结果表明,NoSQL数据库是查询速度的最佳选择,而XML数据库在可伸缩性,灵活性和可扩展性方面具有优势,这对于应对临床数据的特性至关重要。尽管与传统的关系数据库相比,NoSQL和XML技术是相对较新的技术,但随着技术的不断发展,它们都展现出成为临床数据管理关键数据库技术的潜力。

著录项

  • 作者

    Lee KKY; Tang WC; Choi KS;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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