Research & Publications
Evidence-Based Innovation in AI-Powered Regulatory Writing
At PHAROS Labs, we bridge cutting-edge AI research with real-world regulatory medical writing. Our work examines how generative AI accelerates AMNOG benefit assessment dossiers and HTA documentation—connecting faster evidence synthesis to earlier drug approvals and improved patient outcomes. Through peer-reviewed conference presentations and data-driven analysis, we’re building the evidence base for trustworthy AI in healthcare documentation.
Beyond Productivity: How Professional Identity Shapes Generative AI Adoption Among Medical Writing Professionals
Survey of 27 medical writers shows Perceived Usefulness is the only significant driver of AI adoption (β=0.522, p=0.028), while trust in AI does not predict professional identity threat (β=-0.032, p=0.901). With 96% using Regulaido and strong regulatory compliance confidence (M=6.22/7), successful GenAI integration depends on clear regulatory guidance and hybrid workflows that preserve strategic judgment while leveraging AI for routine tasks.
Mapping Writer-AI Conversations for HTA: An Analysis of 12,500 Messages
Analysis of 12,500 messages from 32 HTA writers revealed that AI assistants function as specialized toolboxes—primarily used for Information Extraction & Retrieval (27.2%) and Text Generation & Drafting (17.2%), focusing on Clinical Study Documentation (22.5%). User engagement follows intermittent, project-based patterns rather than daily use, suggesting AI tools should prioritize task-specific interfaces over generic chat functionality.
