How to choose the EDC system?
How to understand if the system fits your project needs?
How to configure the system according to your project needs?
We know that no two projects are alike. Significant variability of study designs puts a high pressure on the person who is responsible for selecting a proper data collection tool. Software development companies strive to create very flexible tools for clinical investigations. However, the more flexible they become, the more challenging such system is to implement. Our team has found an elegant solution: to use your protocol and CRF and provide you with a fully configured and validated EDC system. OnlineCRF and our procedures make clinical data collection an easy task for client.
The main challenge is that the study protocol and other conventional clinical trial documents can not be used as requirements for IT solutions. Very important aspects which are critically needed for EDC system configuration often remain obscure. This gap between clinical trial documentation and EDC system requirements often leads to insufficiency of important data. Sometimes, trials fail when some deficiencies are identified after the clinical data has been collected. To mitigate these risks, our team develops a set of internal project-specific documents and carefully checks all features within the configured OnlineCRF. If some inconsistencies occur, we sort them out before our EDC system starts collecting.
"Pharmaxi LLC maintains the high professional level of personnel and clear processes aimed at goals achievement. We recognize Pharmaxi LLC as a trustworthy partner with a responsible attitude to their obligations and consider them to be a team of experts in the profile activity. We recommend Pharmaxi LLC as a reliable and stable business partner."
"We’ve been working with Pharmaxi since 2014 in frame of epidemiological multicentre study in Ukraine and the Baltic countries in the field of hepatitis C. We are satisfied with the work of the team that demonstrates the high level of professionalism and quality in the design and management of clinical databases.”
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