[Clinical trial data management and quality metrics system].

Data quality management system is essential to ensure accurate, complete, consistent, and reliable data collection in clinical research. This paper is devoted to various choices of data quality metrics. They are categorized by study status, e.g. study start up, conduct, and close-out. In each category, metrics for different purposes are listed according to ALCOA+ principles such us completeness, accuracy, timeliness, traceability, etc. Some general quality metrics frequently used are also introduced. This paper contains detail information as much as possible to each metric by providing definition, purpose, evaluation, referenced benchmark, and recommended targets in favor of real practice. It is important that sponsors and data management service providers establish a robust integrated clinical trial data quality management system to ensure sustainable high quality of clinical trial deliverables. It will also support enterprise level of data evaluation and bench marking the quality of data across projects, sponsors, data management service providers by using objective metrics from the real clinical trials. We hope this will be a significant input to accelerate the improvement of clinical trial data quality in the industry.

[The significance, development and prospects of healthcare data integration in new drug clinical trials].

With the deployment of electronic medical records systems, more and more routine clinical data are recorded electronically, which become a potential data source for new drug clinical trials. In this paper, we summarized the opportunities, challenges, obstacles and the latest development in this field.

[Overview of CDISC standard and implementation in China].

CDISC standard has become a set of global data standards that can be used in clinical study, covering the full life cycle of clinical researches. After nearly 20 years of development and continuous version upgrades, CDISC standard can improve the quality and efficiency of clinical research and drug review, and to facilitate all stakeholders involved in researches to exchange the study data and communicate the outcomes. CDISC standard has been or is to be adopted as standard format in data submission by multiple regulatory authorities, and more widely implemented by the global pharmaceutical community. CDISC standard is gradually adopted in China. The feasibility and roadmap of CDISC standard as the Chinese data submission format requirements are undergoing exploration and piloting further.

[Process and method for CDISC-based CRF annotation].

A CDASH-based CRF annotation plays an important role in database setup and data verification. The STDM-based CRF annotation is also one of the essential documents when the package of clinical trial data is submitted to the regulatory authority. This paper describes the contents, procedures and related stipulations used in the CDISC-based CRF annotation.

[Implementation of performance metrics in clinical trial data management].

There is no a systemic performance metrics for clinical data management. While the CDMC in China starts to develop the quality metrics for clinical data management, it is essential to think over the performance and pursue metrics implementation of clinical data management in China. This article provides the basic concept, development and implementation of the performance metric in clinical data management.