Can Big Data Improve Clinical Trials?

Big clinical research organizations such as Veristat are taking advantage of the large pool of available data. There are endless possibilities when it comes to how clinical trials are conducted. Big data is essential to the efficiency and quality of clinical trials.

It is collected from various sources and aids in accurate and efficient clinical trial planning. Research has shown that applying big data in data-driven clinical trials will help generate around $100 billion yearly in the state’s healthcare system. Big data provide enormous benefits for improving clinical research. Here are some of the ways it is expected to improve clinical trials.

Predict patients at high-risk efficiency

With big data, clinical research organizations can quickly identify the segment of patients in a city or region that are at a higher risk of a particular disease. This way, they are better positioned to choose suitable patients for the clinical trial. In such instances, predictive analysis is very effective in describing and selecting patients with chronic diseases.

Improved patient engagement

The vast amount of data and information from bug data helps clinical research organizations develop effective ways to keep patients engaged. Positive patient engagement has been linked to improved patient retention. An increase in patient retention increases the chances of trial success. The data sets in big data also help improve patient care with well-laid-out databases to help the researcher understand patient needs and how they respond to the treatment. Big data also help physicians accurately predict the most effective form of treatment.

Yield new insights on risk factors for a certain disease

Big data also has the potential to give new insights into the risk factors that lead to disease. It allows doctors to engage with patients more closely through mobile health applications and other connected devices. The data is used and analyzed in real-time to prompt behavioral changes that reduce health risks and reduce harmful environmental exposure while optimizing health outcomes from the clinical trials.

Manage patient recruitment

With advancements in data collection, Clinical research organizations can quickly target a particular group for recruitment since their information is readily available. Most research organizations waste a lot of money identifying suitable patients for clinical trials. The patient recruitment process is often long and complicated. This process can easily be shortened and save clinical research organizations a lot of resources.

Reduced clinical trial dropout

Dropout rates have been one of the most significant issues that Clinical research organizations were facing. However, finding the right patient for the trial ensures that you can keep them on board for the entire trial. Big data ensures that patients are matched with the proper test that fits their requirements. Research organizations can therefore increase the chances of success for their clinical trials thanks to the increased patient retention rate.

Big data is predicted to revolutionize many industries, including health research. It can be used in improving clinical trial planning, processes, and the results you get by using predictive and real-time analysis.