Author name: CDConnect Team

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

In this article: In clinical trials, ensuring the accuracy and integrity of data is essential for reliable results. Queries play a key role in identifying and resolving data issues that may arise during the trial.  As clinical data management evolves, query management procedures have become essential for streamlining the process. These systems accelerate the process

In this article: In recent years, clinical research has started to change. One of the most significant developments is the rise of decentralized clinical trials (DCTs). This new approach moves many parts of a clinical trial outside traditional clinical trial sites.  This change is not just about new technology. It’s also a response to real-world

In this article: Decentralized clinical trials (DCTs) have experienced significant growth in recent years, particularly following the global pandemic’s shift toward remote healthcare operations and digital-first solutions. This shift sparked a wave of digital transformation in how clinical studies are designed and managed. Technologies such as wearables, mobile apps, and electronic data capture (EDC) systems

In this article: Clinical trial performance metrics are essential for ensuring the success of clinical studies. These key performance indicators (KPIs) confirm that the data collected is accurate, complete, and aligned with regulatory standards. Without the right metrics, errors can slip through, timelines can stretch, and compliance risks may jeopardize the entire trial. Imagine investing