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Clinical Trial Data Management Software: A Review of the Technical Features

[ Vol. 14 , Issue. 3 ]

Author(s):

Aynaz Nourani, Haleh Ayatollahi* and Masoud Solaymani Dodaran   Pages 160 - 172 ( 13 )

Abstract:


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.

Keywords:

Case Report Forms (CRFs), clinical data management, clinical trial, information technology, medical coding, systems software.

Affiliation:

Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Department of Epidemiology, School of Health, Iran University of Medical Sciences, Tehran

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