Evaluating online doctor–patient communication quality and its effects: Text analysis approach

This research contributes to the theoretical understanding of doctor-patient communication in digital healthcare by extending existing frameworks and providing robust empirical evidence. The findings offer new insights into the mechanisms underlying online medical interactions and present fresh perspectives for optimizing communication models. From a practical standpoint, the study provides actionable recommendations for platform operators, including the implementation of targeted communication training programs for doctors to enhance their ability to deliver relevant and comprehensible information, as well as the development of terminology conversion systems to facilitate patient understanding of medical jargon, thereby improving overall communication quality.