The drastic shift from paper-based data capture to modern EDC systems in clinical trials saw increased efficiency within a clinical trial setting. Data collection and quality have always been integral to the success of clinical trials. The recent pandemic has shown us a greater need for quality data collection to power clinical trials. The better the quality of data in a trial, the greater the chances are that it will be a success. Today we look at how EDC systems in clinicals trials improve the overall quality of a clinical trial
Organizations and those involved in clinical research should pay more attention to the quality of data being collected for their trials. Modern clinical trials should have efficient tools that aid in quality data collection and standardization, which leads to better and more effective decision-making. Let’s look at some of the ways to improve clinical data quality in this tech-powered era. EDC systems in clinicals trials
Review DCT Specifications
As mentioned, data collection is an integral part of modern-day clinical trials. If the tool designed to collect data is not created correctly, then it will be pretty evident that the quality of the data would not be up to the standard required to conduct an efficient trial. We should be focusing on more patient-centric data collection and use technology such as eCRF (electronic case report forms) to ensure robust data quality. Patient engagement is key to improving data quality in clinical trials.
Integrations and Automation
Integrations and automation are also vital to improving data quality in clinical trials. Manual interventions and processes can lead to errors in the data collection process, resulting in less effective trials. Using medical devices to directly collect data from patients will ensure that calibrated data is flowing into the relevant EDC databases.
Such data is crucial to come up with logical conclusions in clinical trials. Work with a partner like ClinicalPURSUIT, who can provide you with quality EDC systems and integration capabilities that results in a robust and effective trial.
Training
Less human intervention ultimately leads to more minor errors and better data quality. However, you need humans to plan the automation and integration process. The personnel involved in the entire process should have adequate knowledge of the entire process and workflow. Any disturbances can impact your data collection process, which would derail your entire trial. Ensure to employ experienced staff who have undergone sufficient training to carry out the process effectively.
A quality, robust, and effective Clinical Trial Data Management Solution and Clinical Trial Data Management Software can help you fulfill your needs and requirements. If you’re on the lookout for one, then check out the products and services offered by ClinicalPURSUIT.
We have established ourselves as a leading providers of quality CTMS solutions that’ll help you automate the processes, help with patient engagement and improve the efficacy of your trials. We also offer various other services such as Randomization and Drug Supply Management, Electronic Patient-Reported Outcome Software, etc., why not schedule a one-on-one free demo today?
