Clinical data quality problems and countermeasure for real world study
Runshun Zhang, Yinghui Wang, Baoyan Liu, Guangli Song, Xuezhong Zhou, Shizhen Fan, Xishui Pan
Clinical data quality problems and countermeasure for real world study
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.
real world study / traditional Chinese medicine / clinical and research information sharing system / data quality problem / data quality control
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