CDASH (Clinical Data Acquisition Standards Harmonization) variables are used in clinical trials to standardize data structure and metadata. This approach significantly accelerates a clinical trial and facilitates data exchange between sponsors and other participants. The main reasons for using CDASH variables include:

1. Time and Cost Savings:
   Timely implementation of data collection standards can lead to significant time and cost savings. For example, using standards can reduce the time required for CRF creation, auditing, data cleaning, and other activities.
2. Improved Data Quality:
   Data standardization helps ensure the quality, which is critical for analyzing and interpreting study results. This also contributes to a more accurate and reliable assessment of drug efficacy and safety.
3. Simplified Data Exchange:
   CDASH variables usage allows to collect consistent, unified data from different studies, making it easier to analyze and share between various study participants. This is particularly important for complex drug development programs, as data often comes from multiple sources.
4. Increased Work Efficiency:
   Data standards help automate and speed up workflows, such as statistical analysis. This improves the efficiency of programmers' work, as they work with standardized datasets.

However, it is important to note that any standardization and unification requires professionals and appropriate systems to avoid an additional errors and financial burden.