title: Clinical data quality problems and countermeasure for real world study.
abstract: Real world study (RWS) has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of traditional Chinese medicine are discussed, and a countermeasure is proposed.
authors.affiliation: Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
authors.forename: Runshun
authors.initials: R
authors.lastname: Zhang
authors.forename: Yinghui
authors.initials: Y
authors.lastname: Wang
authors.forename: Baoyan
authors.initials: B
authors.lastname: Liu
authors.forename: Guangli
authors.initials: G
authors.lastname: Song
authors.forename: Xuezhong
authors.initials: X
authors.lastname: Zhou
authors.forename: Shizhen
authors.initials: S
authors.lastname: Fan
authors.forename: Xishui
authors.initials: X
authors.lastname: Pan
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D012107:Research Design