论文信息 - Clinical data quality problems and countermeasure for real world study

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.

[1] Baoyan Liu,et al. Data processing and analysis in real‐world traditional Chinese medicine clinical data: challenges and approaches , 2012, Statistics in medicine.

[2] Baoyan Liu,et al. Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support , 2010, Artif. Intell. Medicine.

[3] Kevin Roebuck,et al. Encryption: High-impact Strategies - What You Need to Know Definitions, Adoptions, Impact, Benefits, Maturity, Vendors , 2011 .

[4] Murray B. Stein,et al. Moving Treatment Research From Clinical Trials to the Real World , 2004 .

[5] Viktor Mayer-Schnberger,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[6] Xu Hong-bing. Data Quality Analysis and Application , 2007 .

[7] Mike Thomas,et al. Quality standards for real-world research. Focus on observational database studies of comparative effectiveness. , 2014, Annals of the American Thoracic Society.

[8] Katharine Armstrong,et al. Big data: a revolution that will transform how we live, work, and think , 2014 .