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Clinical data quality problems and countermeasure for real world study

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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.

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References

  1. Roy-Byrne PP, Sherbourne CD, Craske MG, Stein MB, Katon W, Sullivan G, Means-Christensen A, Bystritsky A. Moving treatment research from clinical trials to the real world. Psychiatr Serv 2003;54(3): 327–332

    Article  PubMed  Google Scholar 

  2. Liu BY. Traditional Chinese medicine clinical research paradigm of real-world. J Tradit Chin Med (Zhong Yi Za Zhi) 2013;54(6): 451–455 (in Chinese)

    Google Scholar 

  3. Jiang LJ, Xie Q, Liu BY. Overview of the comparative effectiveness research. World Tradit Chin Med (Shi Jie Zhong Yi Yao) 2013;(6):695–700 (in Chinese)

    Google Scholar 

  4. Roebuck K. Data Quality: High-impact Strategies-What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. Australia: Tebbo Press, 2013

    Google Scholar 

  5. Ding HL, Xu HB. The data quality analysis and application. Comput Technol Dev (Ji Suan Ji Ji Shu Yu Fa Zhan) 2007;(3): 236–238 (in Chinese)

    Google Scholar 

  6. Roche N, Reddel H, Martin R, Brusselle G, Papi A, Thomas M, Postma D, Thomas V, Rand C, Chisholm A, Price D. Quality standards for real-world research. Focus on observational database studies of comparative effectiveness. Ann Am Thorac Soc 2014;11(Suppl 2): S99–S104

    Article  PubMed  Google Scholar 

  7. Sun SL, Weng WL, Yang LH. Quality and Management in the Traditional Chinese Medicine Clinical Research Process. Beijing: China Press of Traditional Chinese Medicine, 2010:4: 14–65 (in Chinese)

    Google Scholar 

  8. Schonberge VM, Cukier K. Big Data: A Revolution that Will Transform How We Live, Work, and Think (in Chinese, trans. Cheng YY, Zhou T). Hangzhou: Zhejiang People’s Publishing House, 2013: 45–66

    Google Scholar 

  9. Song HM, Liu BY, He LY, Zhang RS, Zhou XJ, Zhou XZ. The quality problems in the process of data collection and countermeasures in scientific research by the electronic medical records of traditional Chinese medicine. Chin J Basic Med Tradit Chin Med (Zhongguo Zhong Yi Ji Chu Yi Xue Za Zhi) 2011(9): 955–956 (in Chinese)

    Google Scholar 

  10. Xie Q, Jiang LJ, Liu BY, Shi HX. Key issue and countermeasure to carry out research in the real world comparative effectiveness research of traditional Chinese medicine. World Tradit Chin Med (Shi Jie Zhong Yi Yao) 2014; (1): 28–31 (in Chinese)

    Google Scholar 

  11. Liu BY, Zhou XZ, Li P, Wang YH, Wen TC, Guo YF, Zhang RS, Chen SB. The individualized diagnosis and treatment of clinical scientific research information integration platform. China Digit Med (Zhongguo Shu Zi Yi Xue) 2007;2(6): 31–36 (in Chinese)

    Google Scholar 

  12. Liu B, Zhou X, Wang Y, Hu J, He L, Zhang R, Chen S, Guo Y. Data processing and analysis in real-world traditional Chinese medicine clinical data: challenges and approaches. Stat Med 2012;31(7): 653–660

    Article  PubMed  Google Scholar 

  13. Zhou X, Chen S, Liu B, Zhang R, Wang Y, Li P, Guo Y, Zhang H, Gao Z, Yan X. Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support. Artif Intell Med 2010;48(2–3): 139–152

    Article  PubMed  Google Scholar 

  14. Liu BY, Zhou XZ, Zhang RS, Wang YH, Xie Q, Guo YF, Zhang XP, Zhou XJ, He LY, Zhang L, Song GL, Zhang YH, Zhang H, Li BS, Zhao SJ. Basic requirements of TCM electronic medical records system in medical treatment and clinical scientific research information sharing system. China Digit Med (Zhongguo Shu Zi Yi Xue) 2012;7(10): 57–60 (in Chinese)

    CAS  Google Scholar 

  15. Liu BY, Xie Q Shi HX, Wang B, Zhou XZ, Zhang RS, Guo YF, Zhang XP. To build real world clinical research technology platform of organization management strategy. J Tradit Chin Med (Zhong Yi Za Zhi) 2013;54(24): 2071–2075 (in Chinese)

    Google Scholar 

  16. Shi HX, Liu BY, Xie Q, Wang B, Cao XY, Jiang LJ, Zhao Y, Wang ZY. Build a service flow and promote the transformation and application of Chinese medicine scientific and technological achievements. J Tradit Chin Med (Zhong Yi Za Zhi) 2013;9: 726–728 (in Chinese)

    Google Scholar 

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Correspondence to Baoyan Liu.

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Zhang, R., Wang, Y., Liu, B. et al. Clinical data quality problems and countermeasure for real world study. Front. Med. 8, 352–357 (2014). https://doi.org/10.1007/s11684-014-0351-1

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  • DOI: https://doi.org/10.1007/s11684-014-0351-1

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