Clinical data quality problems and countermeasure for real world study

Autor:	Baoyan Liu, Xishui Pan, Xuezhong Zhou, Guangli Song, Shizhen Fan, Yinghui Wang, Runshun Zhang
Rok vydání:	2014
Předmět:	medicine.medical_specialty Biomedical Research Traditional medicine business.industry Alternative medicine General Medicine Traditional Chinese medicine Risk analysis (engineering) Research Design Data quality Medicine public health medicine Humans Medicine Chinese Traditional business
Zdroj:	Frontiers of medicine. 8(3)
ISSN:	2095-0225
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182f8b771d42de3ed67a9c34296a6e69 https://pubmed.ncbi.nlm.nih.gov/25129380 Zobrazit plný text záznamu Full text from SpringerLink