Medical anamnesis is fundamental to clinical decision-making, yet outpatient consultations often provide limited time for systematic information collection. This study investigates whether structured anamnesis acquisition can be redistributed to a pre-consultation phase using a framework-driven large language model...
E. Zaitseva, Simon Ochotnicky, Miriam Fandakova et al.· Frontiers in Digital Health· 0 citations
The results suggest that specialized, locally deployable fine-tuned models, combined with bounded interaction design, standardized output constraints, and workflow-oriented system integration, provide a secure, practical, and effective pathway for incorporating LLM-based decision support into routine pre-ambulatory cli...