Clinical Researcher

Ethical compliance is the backbone of trustworthy clinical research. However, violations continue to occur, jeopardizing participant safety and data integrity. This article highlights key examples of ethical violations in clinical trials, outlines how clinical research professionals can detect them, and provides guidance on reporting procedures.

With recent integrations of artificial intelligence (AI) into many processes and workflows we touch on a day-to-day basis, it is imperative that ACRP and The Academy of Clinical Research Professionals (The Academy) investigate the use and utility of incorporating AI into the exam development process.

A customer service approach is used to ensure that the Clinical Research Center (CRC) at The Ohio State University Wexner Medical Center meets the needs of investigators and staff to ensure study timelines are met and that their recruited participants are satisfied with the research experience. The CRC had already been using Research Electronic Data Capture (REDCap) for data capture, but thanks to staff innovation, it was determined that many of their antiquated workflows could be efficiently improved by using this tool.

To address ongoing challenges related to principal investigator shortages and broader clinical research staffing, the field needs innovative and practical solutions. Early intervention programs, already effective in increasing the number of physicians in rural areas, could potentially be adapted to provide early practical exposure to careers in clinical research.

The use of artificial intelligence (AI) has become pervasive throughout different fields from agriculture to finance, and healthcare is no exception. While AI has several usages in clinical settings and public health, such as diagnostics, robot-assisted surgery, patient medication reminders, and COVID-19 case surge prediction, here we focus on areas in which AI tools can be used to facilitate clinical research.