scholarly journals A Pilot Study to Assess the Feasibility of Collecting and Transmitting Clinical Trial Data with Mobile Technologies

2018 ◽  
Vol 2 (3) ◽  
pp. 126-138
Author(s):  
Colleen Russell ◽  
Nadir Ammour ◽  
Toby Wells ◽  
Nicolas Bonnet ◽  
Matthias Kruse ◽  
...  
1989 ◽  
Vol 17 (2) ◽  
pp. 185-189 ◽  
Author(s):  
A. B. Tattersall ◽  
R. Ellis

A system has been developed to collect and process clinical trial data in general practice using a hand-held computer in the patient's presence. It was based on a Psion Organiser II (model XP) computer using software produced for the trial. The major advantages are: (a) avoidance of protocol violations and other incorrect data entries; and (b) saving of time for investigators and company personnel. The present coding of symptoms was found to be the only major drawback, but this problem could be remedied for future studies.


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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