Clinical data management is a significant aspect of the trials and testing phases, allowing researchers to process large volumes of data and input.
Poor decision-making, old-fashioned tools, manual data entry, and analysis are some of the factors that impact the quality of research and data, which is why it’s important to upgrade tools and practices.
Among the fundamentals of clinical data management and trials, here are a few essential practices you need to implement:
Ensure data meets quality and requirement standards
All data that your clinical trial collects and gathers needs to follow certain practices to ensure that you only collect high-quality data. Remove irrelevant data points and factors that hinder the solidity of your findings, or add more work unnecessarily. Poor quality, weak data, incomplete information, and inconsistency between team members and participants can all impede the process. This is why one of the major fundamentals of clinical data management is to filter information out using eCRFs and EDC software for clinical trials.
Identify critical data points based on study aims and objectives
To ensure data is fit for purpose and aligned with your requirements, identify critical data points in relation to the study aims and objectives. This removes or de-prioritizes variables and data points that aren’t imperative to what you’re doing.
You might need additional data points to identify trends, patient health and safety (allergy information, medical history, family structure, etc.), and to gain a holistic view, but keep them strictly relevant.
Minimize errors in data collection through SDV programs for your clinical trials
An EDC or SDV program for clinical trials can help minimize errors and streamline data collection as a practice for fundamental clinical data management. We’ve designed a comprehensive source data verification program that helps reduce gaps and inconsistencies and makes data analysis and management a lot faster. For a clinical trial, this means that you can train staff and researchers on the software, put SOPs in place, and create a more comprehensive data entry and management process.
Learn more about Clinical PURSUIT’s SDV and EDC Software
Researchers and investigators can implement these fundamentals of clinical data management for better practice through our SDV management software in clinical trials and EDC software. These programs will streamline data entry and management, make analysis and result generation easier and faster, and help save costs in the long term. You can register for our services or start a free demo today!
