Intelligent Compliance in Clinical Trial Disclosure

This white paper discusses the evolving landscape of clinical trial disclosure, highlighting the complexities introduced by increasing regulatory demands and the need for transparency. It outlines how artificial intelligence (AI) can transform the disclosure process by automating tasks, enhancing accuracy, and improving compliance. The paper details the challenges sponsors face in navigating diverse global regulations and the importance of maintaining consistent and accurate disclosures across multiple registries. It emphasizes the necessity of human oversight in AI applications to mitigate risks associated with data privacy and interpretation errors. The document also presents key use cases for AI in clinical trial disclosure, including intelligent data ingestion, language translation, and ensuring conformance to registry requirements. By leveraging AI strategically, organizations can improve the efficiency of their disclosure processes while meeting the growing expectations for transparency and patient engagement in clinical research.