FDA and Clinical Trial Data Monitoring Committees

2006 ◽  
pp. 39-49 ◽  
Author(s):  
Susan S. Ellenberg ◽  
Jay P. Siegel
2021 ◽  
Vol 8 (2) ◽  
pp. 163
Author(s):  
Divya Pillai ◽  
Monika Bahl ◽  
Padmapriyadarsini C ◽  
Ranjan Kumar ◽  
Supriya Semwal ◽  
...  

<p>The essence of any clinical or healthcare related discovery is its methodologically sound clinical research and clinical data monitoring. This eventually helps the clinicians to understand the best possible clinical management pathways or patient management at all the levels of healthcare system. The pandemic has had an impact on clinical trial data monitoring as well. New or mixed approaches to routine monitoring have been introduced to ensure the quality of the overall research in these challenging times and are being tested for efficacy, cost-effectiveness while keeping ethical considerations as the main priority. This write up intends to highlight a few steps taken to ensure data integrity and participants’ safety and rights.</p>


2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.


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