Updated: 3rd July 2023

What are the must-have features in your EDC software?

3 min read By Lizzi Bollinger

Electronic Data Capture (EDC) has revolutionized the way clinical trials are conducted, streamlining data collection and analysis processes. With the increasing complexity and volume of data in clinical research, having the right EDC software is crucial for efficient and accurate data management. In this article, we will explore the essential features you should look for in your EDC software to optimize your clinical trial processes and adhere to best practices. 

What is EDC?

Electronic Data Capture (EDC) refers to the process of collecting, managing, and analyzing clinical trial or research study data electronically. It eliminates the need for paper forms, making data entry faster, more accurate, and easily accessible. EDC software provides a centralized platform for researchers, investigators, and study coordinators to input, monitor, and report data efficiently.  

5 Must-Have Features

  1. User-Friendly Interface and Navigation

One of the primary factors to consider when choosing EDC software is its user-friendliness. A well-designed interface and intuitive navigation can significantly impact user productivity and can reduce the learning curve for researchers and study personnel. Look for features such as drag-and-drop functionality, customizable templates, and clear instructions to simplify the data entry process. The software should provide clear and concise instructions, making it easy to enter and access data. A user-friendly interface improves efficiency and minimizes the risk of data entry errors, ensuring data quality and integrity throughout the study. 


  1. Customizable Data Capture Forms

Flexibility in designing and customizing data capture forms is essential for EDC software. Every clinical trial is unique, and data collection requirements can vary significantly. The software should allow you to create electronic forms that mirror your study protocols, capturing all necessary data points accurately. This feature enables you to tailor the system to your specific study needs, ensuring efficient and standardized data collection. It should also be easy to design without any programming knowledge so that research teams can be trained quickly and can start launching forms in no time.  


  1. Integration with External Systems

To simplify your research workflow, choose an EDC software that seamlessly integrates with other systems and tools. Integration capabilities allow for data interoperability with other electronic systems like electronic health records (EHR), laboratory information management systems (LIMS), and drug supply management systems. This streamlines the data collection process by eliminating manual data entry, reducing transcription errors, and improving data accuracy.  


  1. Data Validation and Edit Checks

Data integrity is critical in clinical trials, and EDC software should incorporate robust data validation and edit check functionalities. These features help ensure that the data entered into the system is accurate, consistent, and adheres to predefined rules. The software should allow you to set up automated checks for range, logic, and consistency, reducing the risk of data discrepancies. Instantaneous validation during data entry prompts users to correct any errors or inconsistencies, improving data quality and minimizing the need for data cleaning efforts later in the study. 


  1. Comprehensive Reporting and Data Visualization

Effective data analysis and reporting are key components of successful clinical trials. Your EDC software should offer comprehensive reporting capabilities, allowing you to generate customized reports and export data in various formats, such as CSV or Excel. Look for a software that provides real-time monitoring features, such as dashboards and reports, to gain instant insights into data collection, enrollment rates, and study milestones. The software should provide pre-built templates and the flexibility to create ad-hoc reports tailored to your study requirements. Additionally, advanced data visualization features, such as clear and visually appealing graphs and charts, enhance data interpretation and help identify trends or patterns quickly and enable you to make informed decisions based on real-time data insights.  

When evaluating EDC software options, consider these features and assess how well they align with your study requirements and best practices in the field. EvidentIQ’s EDC solution has all these features and more. It is fast to set-up and easy to learn, a study set-up is possible in weeks not months. Customers and end users value the simplicity of customizable workflows. The easy-to-use Designer Interface contains advanced features to easily design electronic forms. You can add data entry fields and customize the database design without any programming knowledge. EvidentIQ’s EDC solution has an open architecture which allows for easy integration, you can seamlessly connect operations with data management. The EDC software supports a targeted source data verification process to ensure clinical trial data quality and integrity. The monitoring plan may also be changed and amended at any time to ensure maximum flexibility in a fast-changing clinical study environment. The dynamic and static dashboards use sophisticated Business Intelligence (BI) for data visualization and reporting. Investing in a robust EDC software solution will not only streamline your data management processes but also improve the overall efficiency and quality of your clinical trials. 

In conclusion, selecting the right EDC software is crucial for the success of your clinical trials. The features discussed in this article represent the essential functionalities that your software should possess. A user-friendly interface and navigation enhance user productivity, while customizable data capture forms ensure accurate and standardized data collection. Integration with external systems streamlines data exchange and collaboration, while robust data validation and edit checks maintain data integrity. Finally, comprehensive reporting and data visualization capabilities empower you to analyze and interpret your study data effectively. 







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