Modernizing clinical trial data transformation is essential for analyzing your clinical data. Transformed data enables both single and cross-study analysis. It also unlocks the use of historical data to generate a new Veristat control group that doesn’t need to be part of your initial clinical trial design. It eliminated the need to recruit new patients into a randomized control using standard care for treatment.

The traditional data transformation methods require a lot of time and effort, slag the clinical trial planning. Batch-processing of data is highly efficient, especially with modern complex clinical trials. Current trials collect more e-source, high volume, and velocity data from various devices and sensors. There is a need for clinical trials to have better data collection methods for great results with data transformation.

Here are some of the ways clinical trials can improve their data collection for better data transformation:

Invest in the right data collection tools

Technology has dramatically improved with the pandemic, making it easier to leverage the advancements in the clinical trial industry. During the pandemic, the CROs use digital technology to capture most of the health data virtually. Using such data collection methods will need you to re-skill your staff and retain them to use the technology in the right way. There have been numerous innovations around virtual clinical trials that you can use for your studies. However, it is essential always to choose tech that works well with the nature of your study and not just set on one method cause it’s popular.

Improve your flexibility

Most organizations have a fixed plan on how to collect data. However, it is important to explore different data formats in extensive data collection to choose one that works for you best. Some of the ways you can enhance data collection include offering the necessary training for the use of trial research software and even including a word limit during data entry to reduce the chances of human error. Improving data collection ensures seamless integration on different platforms, including the use of smartphones, and is a great step to take to ensure that you ease the collection process. It is crucial to always extensively train your staff and the study participant to ensure that they use the platform as they are required to when submitting the e-consent forms and health records.

Always remain patient-friendly

A patient-centric approach is essential to ensure that the innovations benefit your organization. The data collection process should be seen as a platform for managing the patient’s wellness during the study rather than just a tool to enter the patient’s health records. A patient-centric data collection approach contributed to the success of studies, as seen during the COVID-19 pandemic. The approach offers organizations an opportunity to study the participants better.

To improve data collection, it is vital to enhance data literacy and scalability between the research and the study participants by using virtual data collection methods. You may also want to explore AI and machine learning to enhance data analysis and transformation and ease the whole study process.