Three Ways to Improve Data Validation in Clinical Trials

 


According to estimates, the number of registered clinical trials across the world has significantly increased in recent years. Some reports suggest that there are over 443,000 ongoing trials in the US and elsewhere sponsored largely by US-based pharmaceuticals.

Considering the vast number of clinical trials taking place simultaneously, it’s only natural to consider the challenges of data validation. However, in this post today, we list four ways to help clinical research organizers improve their data validation and increase data quality.

What is Data Validation?

Data validation is the process of rechecking the data captured during a clinical trial. This is an essential stage of clinical data managementthat allows organizers to make sure that the data collected during a study is accurate, does not contain human errors, and is potentially capable of delivering correct outcomes.

Any errors and redundancies in clinical trial data can jeopardize clinical research as well as delay the process of marketing drugs to the healthcare system.

Traditional Data Validation Method

Traditionally, clinical researchers used spreadsheets to manually compare and contrast data to validate it. However, decentralized clinical trials that have encouraged data entry from a diverse range of participants remotely has made traditional validation method insufficient to offer accuracy.


Three Ways to Improve Data Validation

In modern clinical trials that rely on efficient data management solutions, data validation can be improved by the following methods.

Use Electronic Data Capture Systems

Starting it right is crucial for higher data quality. Therefore, in the last decade, clinical trial organizers have emphasized the use of electronic data capture (EDC) software that reduces the risk of data entry errors.

Automate the Validation Checks

Instead of manually conducting validation checks, automating the process can help improve the process. There are EDC systems that facilitate auto data verification and help researchers save time and money.

Opt for Remote Monitoring

Remote monitoring is another way clinical research sponsors improve data validation. By having access to real-time data, sponsors can rectify errors during the initial stages and make changes accordingly.

Increase Data Accuracy with Advanced Data Management Solutions

If you seek to automate and improve data validation in your clinical trial, then reach out to Clinical Pursuit. The clinical trial data management software has built-in tools for electronic data capture, remote monitoring, and source data verification.

You can contact the team of EDC systemor book a free demo now.


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