Using AI in the production of promotional tools for prescription drugs value creation and empowerment.

Abstract

This study aims to explore the application of a human-centered AI ecosystem in the production of medical information content. Although medical communication involves diverse stakeholders, considerable time is dedicated to regulatory adherence and quality assurance, thereby reducing opportunities for medical writers to concentrate on value creation. To address this issue, we developed a document-checking and suggestion system employing rule-based artificial intelligence and large-scale language models (LLMs). Consequently, the system organized documents in PDF and Word formats and efficiently checked each meaningful unit. Furthermore, the system includes functionality to facilitate risk assessment by incorporating custom rules that integrate the tacit knowledge of medical writers. This study examines the importance of implementing a human-centered AI ecosystem by posing the question: ‘How can AI extend beyond efficiency to foster the development of advanced competencies among medical writers?’