Data Quality Improvement and Internal Data Audit of the Chinese Neonatal Network Data Collection System

Data Quality Improvement and Internal Data Audit of the Chinese Neonatal Network Data Collection System

Background: The Chinese Neonatal Network (CHNN) is a nationwide neonatal network that aims to improve clinical neonatal care quality and short- and long-term health outcomes of infants. This study aims to assess the quality of the Chinese Neonatal Network database by conducting an internal audit of...

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Main Authors: Jianhua Sun, Yun Cao, Mingyan Hei, Huiqing Sun, Laishuan Wang, Wei Zhou, Xiafang Chen, Siyuan Jiang, Huayan Zhang, Xiaolu Ma, Hui Wu, Xiaoying Li, Yuan Shi, Xinyue Gu, Yanchen Wang, Tongling Yang, Yulan Lu, Wenhao Zhou, Chao Chen, Shoo K. Lee, Lizhong Du, The Chinese Neonatal Network, Falin Xu, Xiuying Tian, Yong Ji, Zhankui Li, Jingyun Shi, Xindong Xue, Chuanzhong Yang, Dongmei Chen, Sannan Wang, Ling Liu, Xirong Gao, Changyi Yang, Shuping Han, Ruobing Shan, Hong Jiang, Gang Qiu, Qiufen Wei, Rui Cheng, Wenqing Kang, Mingxia Li, Yiheng Dai, Lili Wang, Jiangqin Liu, Zhenlang Lin, Xiuyong Cheng, Jiahua Pan, Qin Zhang, Xing Feng, Qin Zhou, Long Li, Pingyang Chen, Ling Yang, Deyi Zhuang, Yongjun Zhang, Jinxing Feng, Li Li, Xinzhu Lin, Yinping Qiu, Kun Liang, Li Ma, Liping Chen, Liyan Zhang, Hongxia Song, Zhaoqing Yin, Huiwen Huang, Jie Yang, Dong Li, Guofang Ding, Jimei Wang, Qianshen Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Pediatrics
Subjects:
internal data audit
neonatal database
data quality improvement
neonatal network
preterm infant
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2021.711200/full

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