An overview of validation methods based on the medical claims database
10.3760/cma.j.issn.0254-6450.2019.10.027
- VernacularTitle: 基于医疗保险数据的数据库准确性验证方法学进展
- Author:
Jingnan FENG
1
;
Shengfeng WANG
;
Siyan ZHAN
Author Information
1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Publication Type:Review
- Keywords:
Medical claims database;
Validation;
Machine learning;
Natural language processing;
Database linkage
- From:
Chinese Journal of Epidemiology
2019;40(10):1324-1328
- CountryChina
- Language:Chinese
-
Abstract:
Medical claims database is an important source of data for studying the characteristics, and burden of diseases, to provide a basis for the development of policy on management. The database is usually used to identify patients through International Classification of Diseases and free text-building algorithms, thus it is crucial to validate whether the algorithm is correctly identifing the targeted population. This paper introduces both traditional and emerging validation methods including machine learning, natural language processing and database linkage etc.. We also have tried to present a suitable validation method for the current situation in China, so as to promote the application of big data in medical areas and to provide reference for epidemiology studies, based on medical claims database in this country.
