How Automated Data Capture Is Reducing Clinical Trial Researcher Burnout

By: Ben Baumann, OpenClinica Co-Founder and COO

The COVID-19 pandemic has had a significant impact on clinical research, with many trials being halted or suspended to refocus resources and address the rapidly growing health crisis. While the severity of the pandemic has ceased, there is still a strain on researchers and trial coordinators, who are now facing increased workloads and stress levels in trying to make up for the lost time.

To make matters worse, the industry continually struggles to fill staff positions and meet participation requirements while trying to meet new safety and administrative protocols.

Recently, industry leaders have begun looking at automated data capture to combat team burnout and improve efficiency. Automated data capture systems can program the collection and entering of data, freeing researchers to focus on other tasks. This can lead to reduced workload and stress levels, improved accuracy of data collection, and a faster and more efficient drug development process.

Learn more about the adoption of automated data capture systems and how they’re helping to improve clinical trials.