09.11.25 -- Automation Is Not Just AI

As much as eConsent helps staff, participants are also likely to prefer it over traditional paper methods. Explore the benefits of eConsent and some strategic steps sites can take right now to adopt the process.

For sponsors ready to improve vendor management, technology platforms with the right framework can help you tighten budget controls, improve data integrity, or foster collaborative vendor relationships.

AI is transforming clinical data review by automating processes and enhancing efficiency through four stages of evolution – automation, regulatory alignment, data analysis, and human oversight.

Interactive Response Technology (IRT) can transform site operations by replacing error-prone manual processes with real-time, automated systems that relieve some of the burden on trial sites.

The effort to build a single home for sites to access their trial systems has demonstrated that the industry is ready to forego competitive discourse to deliver benefits to sites and patients.

DHT-derived endpoints, especially percentile-based metrics, hold promise for robust, scalable measurement in clinical trials—provided they're chosen statistically and with adherence in mind.

As the demand for patient-centric clinical trials grows, eSource platforms will play an increasingly vital role in facilitating efficient, compliant, and innovative research methodologies.

Direct outreach to potential participants and communication with their healthcare providers is key to boosting trial awareness and participation, thereby achieving recruitment targets.

Clinical technology must serve both scientific rigor and human experience—and Castor is positioning itself at the forefront of this participant-led future.