Clinical trials are an essential part of all studies related to healthcare or those involving biological applications. However, it is no secret that these trials are usually lengthy, costly, and time-consuming. They also require extensive resources, which means only one or a couple of research studies can be conducted simultaneously. However, Rapid Study Development is a recent concept within clinical trial data management solutions that will likely change the existing methodology for clinical trials.
Impact of Rapid Study Development on Clinical Trials
Rapid Study Development refers to a recent approach for research that focuses on compressing studies into shorter timeframes to obtain results more quickly. There are several ways expedite study development can help your clinical trials.
1. Quicker Results
Since rapid development focuses on reducing the timelines of the study by taking a multi-team approach to data collection and analysis. The compression ensures that the clinical research wraps up more quickly and scientists can derive the necessary conclusions.
The quicker results are especially significant for healthcare currently as it tries to cope with the recent pandemic and predictions for the next one.
2. Diverse Scopes
Aside from compressing timeframes, rapid study development also conducts them on a smaller scale. Therefore, such research can easily play the role of pre-requisites to future research by providing supplementary data. They can also be conducted after a long clinical trial to test findings.
3. Multiple Simultaneous Types of Research
Since rapid trials do not consume the same resources as longer trials, research organizations can conduct multiple kinds of research simultaneously, effectively increasing productivity by several degrees.
The Best EDC Clinical Trial Software
With more efficient study development gaining more traction, Clinical Pursuit has developed Intelligent Clinical Data Collection (EDC) to aid the process further. EDC is a multi-dimensional web-based platform that includes several aspects of data management and trial management.
The combined solution is both convenient and efficient for research purposes.
