As students and faculty began settling into the routines of a new academic year at colleges and universities across the U.S., ACRP reached out to experts from graduate programs in clinical research for a snapshot of how education in this field, especially at the master’s degree level, is holding up amidst rapidly evolving changes in the research enterprise itself.
Artificial intelligence could be leveraged to reduce the administrative burden associated with laborious, site-specific documents to provide clinical trial teams more time to conduct high-priority tasks such as identifying, screening, and enrolling patients.
It’s no secret that the clinical research enterprise faces many struggles related to attracting and retaining qualified physicians to serve as principal investigators (PIs) for clinical trials. All too often, the first trial a PI completes is also their last one. However, when someone with a passion for research takes on the PI mantle as a true calling, it becomes part of their professional and personal identities.
One of the most common and important types of quality management measures in clinical research is the Corrective and Preventive Action (CAPA) plan. Learning the CAPA process will provide insight into how corrective and preventive actions are handled, along with creating an effective game plan for your use of CAPAs.
Decentralized clinical trials have emerged in popularity in the clinical research industry in recent years. Advantages and disadvantages to this clinical trial operations model are described here through the lens of quality management, participant outcomes, and data management.