Author name: CDConnect Team

In this article: As clinical trials shift toward remote and hybrid formats, researchers must manage the growing volume of patient data coming from various sources. These decentralized clinical trials (DCTs) often rely on digital tools and patient-reported inputs, which generate information in many formats. Managing this data effectively is key to trial success. Clinical data […]

In this article: In clinical research, tracking and reporting Serious Adverse Events (SAEs) is a vital part of protecting patient safety and maintaining data integrity. These events must be accurately recorded across systems to support the safe and ethical conduct of a clinical trial. However, as trials become more complex, especially in decentralized clinical trials,

In this article: The way we conduct clinical trials has undergone significant changes in recent years. Researchers are shifting away from traditional paper-based data collection and turning to digital tools that enable them to work faster and more accurately. One of the most widely used tools in this shift is electronic data capture. These systems

In this article: Clinical trials are transforming the way research is conducted. Data now comes from remote devices like wearables and apps, improving access and patient engagement. However, this shift presents new challenges. A widespread concern regarding data integrity is ensuring that all information is accurate, complete, and secure. In clinical research, data integrity is

In this article: Clinical trials have expanded beyond single-site studies and centralized systems, embracing more flexible and distributed models. The rise of decentralized and hybrid clinical trials has transformed how data is collected, managed, and monitored. As a result, digital systems have become indispensable for ensuring trial efficiency, regulatory compliance, and data quality. Two of

In this article: As clinical trials become more complex, the amount of data from third-party sources continues to grow. From central labs to imaging vendors and ePRO platforms, external providers now play a major role in data collection. This shift adds pressure to keep the data clean, accurate, and aligned across systems. That’s where third-party

In this article: As clinical research evolves, the amount and variety of clinical trial data continue to grow. Much of this information now comes from multiple data sources beyond traditional forms and systems. This expansion adds value but also makes managing and reviewing the data more complex. Some of the data collected in a clinical

In this article: In clinical trials, lab queries happen when there is a problem with the data related to patient samples. This could be a missing value, an incorrect identifier, or a discrepancy in the visit date. These queries are raised to clarify or validate the information before it can be used in the study.

In this article: In clinical research, the accuracy and integrity of data are non-negotiable. Every data point collected in a clinical trial shapes study outcomes, informs medical decisions, and meets regulatory standards. However, data discrepancies, errors, or missing values can occur during data entry, where the query resolution process becomes critical. Query resolution refers to

In this article: Modern clinical trials are generating more data than ever, especially with the shift toward remote and technology-assisted studies. To keep up, research teams now utilize advanced clinical data management tools that facilitate efficient data capture, enhance data quality, and minimize errors. These tools help data managers collect and manage clinical trial data