Development of a General Statistical Analytical System Using Nationally Standardized Medical Information
Development of a General Statistical Analytical System Using Nationally Standardized Medical Information
复制标题
使用国家标准化医疗信息开发通用统计分析系统
DOI：
10.1007/s10916-021-01742-7
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发表时间：
2021
影响因子：
5.3
通讯作者：
Kenji Arak
中科院分区：
文献类型：
--
作者：
Ryosuke Matsuo; Tomoyoshi Yamazaki;Kenji Arak
在日本，由于2018年关于匿名医疗数据有助于研发的下一代医疗基础设施法案生效，预计将利用医疗数据进行研发。千禧年医疗记录项目已经收集了大量的标准化医疗数据，这些数据是根据该法案存储在数据库中的。为了使用户在进行试错时广泛利用医疗数据，由于非匿名医疗数据的高度安全管理，因此存在数据访问的困难。为了解决数据访问问题，我们开发了一个通用的统计分析系统，用于在用户分析的试错环境中执行各种统计显著性检验和统计功效分析，而无需编程。在分析系统中，前端是一个注册表作为输入和分析结果作为输出在Microsoft Excel上，后端是基于Python，R和SQL。虽然固定登记表涵盖了有限的分析应用，但由于使用存储的千禧年医疗记录数据的分析结果在短时间内提供，而无需收集分析所需的数据，因此医学专家/研究人员可以以试错法的方式广泛和快速地推广医学数据的利用。开发的系统可以应用于制定临床研究和临床试验的协议，并可以增加发现真实世界证据的潜力。
In Japan, since the Next Generation Medical Infrastructure Act regarding anonymized medical data contributing to R&D came into force in 2018, it is expected to exploit medical data for R&D. The Millennial Medical Record Project has been collected a large amount of standardized medical data of a number of hospitals stored in a database under the act. In order for users to widely exploit the medical data when carrying out trial-and-error, there is a difficulty of data access because of a highly secured management of non-anonymous medical data. To solve the data access problem, we develop a general statistical analytical system for executing a variety of statistical significance tests with statistical power analysis in an environment of trial-and-error for users’ analyses without programming. In the analytical system, the front-end is a registration form as the input and the analysis results as the output on Microsoft Excel, and the back-end is based on Python, R and SQL. Although the fixed registration form covers limited application for the analysis, since the analysis results using the stored Millennial Medical Record data is provided in a short time without collecting the necessary data for the analysis, the exploitation of medical data could widely and rapidly promote by medical experts/researchers in the manner of trial-and-error. The developed system could apply to make protocols for clinical research and clinical trial, and the potential to discover real-world evidence could be increased.