The Role Of Artificial Intelligence (AI) In Clinical Outcome Assessments (COAs)

By Mark Wade, Global Practice Leader, COA SME

Venturing into the realm of content creation, Artificial Intelligence (AI) emerges as the avant-garde frontier, revolutionizing the way language assets are generated and reused. This paradigm shift, prominently exemplified by the widespread adoption of generative AI tools like ChatGPT, has not only streamlined the curation of documentation but has also redefined the roles of authors, often transforming them into editors. The allure of AI lies in its capacity to save significant time and effort in the content creation process.

While the impact of AI on non-scientific documentation is palpable, the question arises: can clinical documentation be subjected to the same treatment? The intricacies and specificities inherent in clinical content introduce unique challenges that may necessitate a nuanced approach. Unlike more generic forms of documentation, clinical content requires a meticulous and specialized understanding of scientific nuances, regulatory intricacies, and patient-centric considerations. Therefore, exploring the application of AI in the context of clinical documentation involves navigating a complex landscape, where considerations extend beyond language generation to encompass the precision and context inherent in scientific and medical communication. This nuanced examination prompts a deeper exploration of the compatibility of AI tools with the distinctive requirements of clinical documentation.