News By: Gary Cramer

Modernizing the legacy systems of the clinical research enterprise can’t wait for the next advancement. By migrating legacy systems to cloud-based architectures, trial data can be logged more accurately, timelines can be improved, and opportunities for advancement can be better realized.

Even with strong protocols and qualified investigators, many clinical trials experience delays that have nothing to do with science. Instead, they originate from administrative weaknesses that quietly slow progress, inflate costs, and strain research staff. Let’s look at the administrative weaknesses that most often impede the efficiency of trials, along with practical solutions that can be put in place by organizations to enhance their performance and protect study timelines.

Patient safety, credible data, and the investigator’s responsibilities are equally important, but the investigator’s responsibilities are the most actionable, and help drive patient safety and credible data. They are also best facilitated by strong, professional relationships between investigators and other members of the clinical trials team.

As clinical trials become increasingly complex and decentralized, the role of clinical research coordinators (CRCs) has evolved beyond traditional operational responsibilities. This article explores how CRCs are driving digital transformation in clinical trials, the operational challenges they face, and the essential strategies needed to build a resilient, research-ready workforce for the future.

Artificial intelligence (AI) is rapidly reshaping clinical research, with some of its most impactful applications emerging in patient pre-screening and recruitment. By analyzing electronic health records at scale, AI can match potential trial participants to complex eligibility criteria in a fraction of the time required for manual review.