Learn about the top 5 data management issues in clinical trials and why only 20% of trials guarantee complete data accuracy. Discover solutions from consulting experts to improve trial data management.
Clinical trials stand as the foundation for medical research, leading to the development of innovative treatments and therapies. On the other hand, the integrity and accuracy of data management of such clinical trial is undoubtedly a major concern. Astonishingly, merely 20% of clinical trials guarantee comprehensive data accuracy. Below are the 5 worst facts about data management in clinical trials that you must read, highlighting the desperate need for improvement.
Data Entry with High Error Rates
Data entry errors are one of the leading problems that plague clinical trials. Research indicates that manual data entry has an error rate of 10-20%. These mistakes may lead to false conclusions, impacting the meta-analysis results and therefore the approval of a treatment may be delayed.
Diverse Practices for Data Governance
The data management practices across clinical trials are extremely variable and this directly translates to quality issues in the data at hand. Such inconsistency can jeopardize trial results integrity. The absence of standardized protocols results in data that can be challenging to compare or aggregate across trials, limiting meta-analyses and the generalizability of treatment efficacy.
Lack of checking and validating the data
You need to monitor your data and need to verify it periodically to ensure data integrity. However, most clinical trials are not well monitored, and some report that as many as 30 percent of studies do not have a proper system for verifying data. This error introduces the potential for undetected inaccuracies in the data itself.
Delayed Data Processing
The success of any clinical trial heavily depends upon timely data processing. The chronic problem of the data is it takes time to process, and some trials take ages since they are slow with entering and analyzing data. These delays can prolong the timeline for drug development, meaning patients awaiting potentially life-saving therapies as quickly die from disease or go through an unnecessary surgery.
Lack of the Advanced Data Management Technologies
Although advanced data management technologies certainly exist, a traditional approach is still used in many clinical trials. Despite the potential for dramatic improvements in data accuracy and efficiency, only a small fraction of trials use modern electronic data capture (EDC) systems. These technologies can minimize errors and optimize data management, but adoption continues to lag.
What It’s All About — Solutions with Pro Consulting
Considering these distressing realities, enhancing data management in clinical trials becomes a necessity. Biotech, pharma and life sciences consulting firms can make a huge difference in overcoming these challenges.
Conclusion
Data management on these trials needs to be correct and transparent for medical science to advance. The distressing information revealed in this article shows that things can be improved, and implemented quickly. By hiring one of many consulting firms Boston, you can very easily improve data handling process and make sure that clinical trials are managed in the most precise and reliable way.
Contact BioBoston Consulting now or browse our site for more information!
