It takes a lot of time, money and intellectual capital to plan and execute successful Veristat clinical trials. Despite the huge investment, clinical trials fail in some instances. According to research, the probability of success of an industry-sponsored drug entering Phase 1 of trials to obtain FDA approval is only 13.8%.

According to the Clinical Research Organization, clinical trials could simply fail because the human subjects did not respond to the drug as well as the animal subjects did. Even then clinical trials failures are caused by different reasons. But what are the different ways companies can use to reduce the chances of failure? Keep reading to find out.

Invest in quality data from the start

In many clinical trials, you will find that the sponsors don’t have defined clinical data strategies from the beginning of the project. The data strategy should include all the plans of all the phases including the post-market phase. That’s why it’s important to have clinical data should be your biggest priority from the onset. As such, having a data team with the required experience is a plus. Your data team should have the database experience both in building and management plus in query management as well.

Have a biostatistician and a statistician through the trial development cycle

Be sure to have a biostatistician in the clinical trials from the onset. They will study the design for your trial and make recommendations on hypothesis testing as well as data analysis. Having a statistician plays an important role during design and protocol development, data management and monitoring as well as reporting. Make sure that you have a statistician during the trials to help get rid of problems that will come up during the trial design and even when analyzing the collected data. The statistician will also report on any regulatory feedback.

Centralize clinical data

If your data is managed by different vendors, you will have a problem with tracking your data, query management, data inaccuracies, and cross-product analysis. Centralized research data services include medical writing, data management, along with Biostatistics.  Having a centralized clinical data specialized vendor offers you many benefits. For instance, with centralized clinical trials, you’ll save time because they create a global collection of databases. Additionally, they reduce the learning curve between contract research organizations and sponsors. Finally, your trial quality is improved during standardization and familiarity with your customers.

Have a strategic functional service model

A functional service model is ideal in addressing staff augmentation as well as turnover. It offers an expandable team and the resources required for a specific function during the trial process. Such a functional model is ideal because it ensures improved trial processes while ensuring trial requirements are not changed. As such, it reduces regular staff training while ensuring efficiency of the clinical trials

Clinical trials have a low success rate. It’s therefore important to set up the required structures from the onset to ensure their success. Make sure you have your clinical data right from the beginning. Have professionals set the study design as well as the hypothesis of the trials. It is essential to have a centralized clinical specialized vendor to make sure that your data is easy to trace.