In 2016, 85% of trials failed to finish on time, resulting in up to $8 million per day in financial costs. Today, research teams are rethinking their processes and leveraging technology in new ways.
We only need to look back twenty years to see the incredible growth, change and progress made by the clinical trials industry. In 2000, we were just beginning to transform paper-based clinical trials to trials leveraging electronic automation for labor-intensive, manual tasks such as data capture. In their early forms, clinical trial technologies were developed as point solutions focusing on specific tasks. Early solutions reduced human error and improved the quality and timeliness of data. However, these point solutions only targeted tasks, not processes.
Prior to the pandemic, there was a growing interest in shifting clinical trials to virtual or decentralized models to boost patient recruitment, improve retention, reduce costs and more. The pandemic accelerated the movement. Clinical research teams pivoted quickly to operate remotely as needed, while adjusting their standard operating procedures to account for the evolving lockdowns. The continuing popularity of web-based technology solutions supported a rapid transition. It enabled these teams to continue working with minimal disruption.
Today, clinical trials are a mix of traditional, hybrid, and virtual or decentralized designs. Most trials lie somewhere on a continuum between traditional site-based and entirely virtual, decentralized models. Technology plays a key role, and a flexible platform is critical for success. Automation has the potential to increases data quality while reducing the time and resources required to manage data, and it will continue to drive innovations in this area. The initial investments in new technologies to enable virtual or decentralized practices has the potential to result in significant efficiencies over time.
Our latest whitepaper explores this evolution through an industry survey of sponsors and CROs and the factors driving technological innovation – such as accelerated patient recruitment, improved efficiency, and reduced costs.
- The Evolution of Clinical Trials
- Changes in Practice
- Challenges to Innovation
- The Potential to Reduce and Eliminate Traditional Barriers
- Considerations for Choosing Technology Solutions
- A Rapidly Evolving Landscape
Download the whitepaper: