Overcoming Barriers To Big Data Innovation In Clinical Research

By Elvin Thalund, Director, Industry Strategy, and Craig Morgan, Global Head of Marketing, Life Sciences

The healthcare industry has experienced significant advancements in the amount of data collected in clinical research and the ability to analyze and comprehend it. This merging of trends—known as “Big Data”—is transforming the life sciences space in different sectors, enhancing efficiency and productivity. However, just as there have been advancements in the use and amount of big data processed in clinical trials, new issues have also arisen. Two of the most common are potential data silos and the difficult task of integrating data from different sources into a single platform. In addition, those operating clinical trials also fear the possibility of breached privacy and failed data security, unmet regulatory compliance, and the lack of specialized skills and expertise.

Building a data lake infrastructure, leveraging cloud computing, following privacy and data security regulations, and implementing data governance rules are just some potential solutions for overcoming these barriers. The authors also emphasize the importance of collaboration and communication between trial stakeholders, and implementing training programs to develop data management and analytical skills.

Access the entire article to gain valuable insights into the challenges that hinder the healthcare industry's adoption of big data and identify ways to overcome these obstacles, and fully leverage the potential of big data in clinical research.