Literature DB >> 22292392

[Construction and realization of real world integrated data warehouse from HIS on re-evaluation of post-maketing traditional Chinese medicine].

Yan Zhuang1, Bangtie Xie, Shengxin Weng, Yanming Xie.   

Abstract

OBJECTIVE: To construct real world integrated data warehouse on re-evaluation of post-marketing traditional Chinese medicine for the research on key techniques of clinic re-evaluation which mainly includes indication of traditional Chinese medicine, dosage usage, course of treatment, unit medication, combined disease and adverse reaction, which provides data for reviewed research on its safety,availability and economy,and provides foundation for perspective research.
METHOD: The integrated data warehouse extracts and integrate data from HIS by information collection system and data warehouse technique and forms standard structure and data. The further research is on process based on the data. RESULT: A data warehouse and several sub data warehouses were built, which focused on patients' main records, doctor orders, diseases diagnoses, laboratory results and economic indications in hospital.
CONCLUSION: These data warehouses can provide research data for re-evaluation of post-marketing traditional Chinese medicine, and it has clinical value. Besides, it points out the direction for further research.

Entities:  

Mesh:

Year:  2011        PMID: 22292392

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  2 in total

1.  Effects of Yinzhihuang Granules on Serum Liver Enzymes in Jaundice Patients: A Real-World Study Based on HIS Data.

Authors:  Cheng Zhang; Lidan Zhang; Jian Lyu; Yanming Xie; Yuting Xie
Journal:  Evid Based Complement Alternat Med       Date:  2020-11-05       Impact factor: 2.629

2.  Reevaluation of the post-marketing safety of Shuxuening injection based on real-world and evidence-based evaluations.

Authors:  Can Wang; Qing-Ping Shi; Feng Ding; Xiao-Dong Jiang; Wei Tang; Mei-Ling Yu; Jian-Hua Zhu
Journal:  Drug Des Devel Ther       Date:  2018-04-05       Impact factor: 4.162

  2 in total

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