IgA nephropathy standard dataset and quality control
10.3760/cma.j.cn441217-20211203-00075
- VernacularTitle:IgA肾病信息化标准数据集和质控标准
- Author:
Jingyuan XIE
1
;
Yan OUYANG
;
Jing CHEN
;
Feng DING
;
Leyi GU
;
Lifeng ZHU
;
Donglei FENG
;
Yanyan SONG
;
Zhangsheng YU
;
Hong REN
;
Nan CHEN
Author Information
1. 上海交通大学医学院附属瑞金医院肾脏科 上海交通大学医学院附属肾脏病研究所，上海 200025
- Keywords:
Glomerulonephritis, IgA;
Standard dataset;
Medical big data;
Hospital information system;
Data integration
- From:
Chinese Journal of Nephrology
2022;38(6):543-549
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a IgA nephropathy (IgAN) standard dataset for the structured and standardization of IgAN clinical information, which will be beneficial to the integration and utilization of clinical information among different medical institutions. Therefore, the IgAN Expert Collaboration Group composed the "IgA Nephropathy Standard Dataset".Methods:Referring to the domestic information standards, guidelines, data standard and consensus of related fields, based on electronic medical history, the patient identification number was used as the primary key of the system to collect information. By standardizing each data element in the data set, the standardization of the management system in data and information exchange, data collaboration and sharing was ensured, and a quality control system was developed.Results:This standard dataset included 607 data elements and 8 business domains, which were patient information, medical history information, physical examination, laboratory examination, assistant examination, renal pathology, drug treatment, and follow-up, respectively. Each module was composed of module name, data element name, English name, definition, range, reference standard, etc. At the same time, a corresponding quality control system was formulated to evaluate data quality from multiple dimensions such as completeness, standardization, accuracy, timeliness, and security for ensuring the high quality and security of the data.Conclusion:The IgAN standard dataset is established, which will contribute to the structuration and standardization of clinical information of IgAN patients.
