ABSTRACT
This list of clincal data management documentation is to ensure standardized and adequate archival of trial documents and records in clinical data management, which is applicable to all of phase I-IV clinical trials.
Subject(s)
Clinical Trials as Topic , Data Collection , Reference Standards , Documentation , Reference StandardsABSTRACT
ICH GCP requires that all information of clinical trial should be recorded, processed, and stored in a way that allows the accurate reporting, interpretation and verification. A trial master file (TMF) contains all paper or electronic records/documentations related to a clinical trial. As a tool of the retrospective analysis, the TMF profile should be able to reproduce the full procedure of the trial completely. As a part of TMF profiles, both the accuracy and completeness of clinical data management documentation are important in data integrity. It is helpful to learn the workflow of clinical data management in different stage of a clinical trial, to understand which documents are essential, and why the documentation of clinical data management is important for data integrity. This paper elaborates how to perform the good documentation practice of clinical data management, and suggests that both the precise and efficient document management and regular quality control may ensure the high quality of clinical data documentation management on the basis of an intensive awareness of the overall process of clinical data management.
Subject(s)
Clinical Trials as Topic , Data Curation , Reference Standards , Information Storage and Retrieval , Methods , Reference StandardsABSTRACT
A perfect clinical trial must nave a solid study design, strict conduction, complete quality control, non-interference of statistical result, and acceptable risk-benefit ratio. To reach the target, the quality control (QC) should be performed from the study design to conduction, from the analysis to conclusion. We discuss the relationship between data management and biostatistics from the statistical point of view, and emphasize the importance of the statistical concept and methods in the improvement of data quality in clinical data management.
Subject(s)
Biostatistics , Clinical Trials as Topic , Data Collection , Reference Standards , Quality Control , Research Design , Reference StandardsABSTRACT
The quality and integrity of clinical trials and associated data are not only derived from accuracy of trial data analyses, but also closely embodied to the authenticity and integrity of those data and data documents as well as the compliant procedures obtaining those data and relevant files in the life cycle of clinical trials. The compliances of good clinical practices and standards suggest the reliability, complete and accuracy of data and data documents, which is constructing the convincible foundation of drug efficacy and safety validated via clinical trials. Therefore, the monitoring and auditing on clinical trials and associated data quality keep eyes on not only verifications of reliability and correctness on the data analytic outcomes, but also validation of science and compliance of the trial management procedure and documentations in the process of data collections.
Subject(s)
Clinical Trials as Topic , Reference Standards , Data Accuracy , Reproducibility of ResultsABSTRACT
For pharmaceutical industries, clinical data is one of the most valuable deliverables. It is also the basis of analysis, submission, approval, labeling and marketing of a drug product. To ensure the integrity and reliability of clinical data, a scientific standardized quality control (QC) has to be established at each step of a clinical trial. Data validation is conducted to ensure the reasonability and compliance of clinical data by checking data quality before the data is statistically analyzed. This paper focuses on purpose of data validation, creation of data validation plan, rationale of data validation, types of data validation and performance of user acceptance testing on clinical database.