03.21.25 -- Tired Of Manually Reviewing Disparate Data? Try Integrated Data Review

Achieve earlier detection of potential adverse cardiac events and refine patient selection for future trial phases by implementing advanced QT monitoring tools.

Stakeholders should ask these questions when aiming to enhance the integrity and efficiency of their clinical trials while minimizing risks associated with inadequate eClinical solutions.

As the healthcare landscape evolves, maintaining accurate and timely information delivery becomes vital for building strong HCP relationships and improving patient outcomes.

With the appropriate training data, AI has the capability to automate information gathering, document creation, and workflow management.

Read on as authors explore accessing real-time clinical trial data for proactive study management, using adverse event data to enhance safety and performance, and tools to improve design.

Dr. Andy Liu presents a case study determining which digital measure of physical activity would be a well-defined and reliable clinical endpoint in a trial including patients with diabetes.