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[Data collection, quality and evidence formation for human use experience of traditional Chinese medicine]. | LitMetric

AI Article Synopsis

  • The research highlights the importance of collecting and summarizing Human Use Experience (HUE) data in Traditional Chinese Medicine (TCM) for evaluating new medicines.
  • The collection process should focus on sources such as prescriptions, and summarize data through dialectical thinking, clinical application, and medication experience.
  • Ensuring the legality, ethical standards, and independence in data analysis is crucial, along with developing quality control measures to maintain the integrity and accuracy of the collected HUE data.

Article Abstract

Collecting and summarizing human use experience(HUE) data, forming high-quality data and evidences that can be used for evaluation are the key links of HUE research on traditional Chinese medicine(TCM). The collection, collation and summary of human experience data were discussed in this paper. It is pointed out that the collection of HUE should be focus on the source of prescription of new traditional Chinese medicines, and be summarized based on dialectical thinking, experience in medication, characte-ristics of prescription and clinical application. The collected contents include prescription, process, clinical location and applicable population, efficacy data and safety data, etc. The methods include interview, clinical data summary and data mining. When the data formed based on HUE information is used as drug registration information, it is necessary to ensure that the data source is legal and compliant, and the ownership of intellectual property is clear.Data sources should meet the requirements of medical ethics. To avoid conflict of interest, data analysis should be conducted by an independent third party. It is necessary to develop the quality control measures of HUE data to ensure the data traceability, integrity, consistency and accuracy, and avoid data bias.The data of HUE should include the key data such as accurate clinical location and applicable population, recognized clinical efficacy and safety.After the formation of HUE, the statistical analysis plan of empirical data of human use should be formulated. Through strict data processing, statistical analysis and clinical interpretation, HUE can be produced for evaluation.

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Source
http://dx.doi.org/10.19540/j.cnki.cjcmm.20210122.501DOI Listing

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