#36 | GMJ Podcast | Artificial Intelligence and Doctor–Patient Communication — Evidence from Georgian Clinics

In this episode of the GMJ Podcast — the official podcast of the Georgian Medical Journal — we present a newly published original research article examining the impact of artificial intelligence–generated health information on doctor–patient communication in outpatient clinical settings in Georgia.The study investigates how the growing use of AI-driven digital health tools is influencing clinical encounters. Patients increasingly attend consultations after interacting with AI systems, symptom checkers, and other algorithm-based platforms, introducing new dynamics into communication between patients and physicians.Using a convergent mixed-methods design, the research combines quantitative survey data from patients and physicians with qualitative insights from physician interviews. The findings demonstrate that a substantial proportion of patients use AI-based health information prior to consultations, while physicians frequently encounter AI-informed patients in routine practice.The study highlights that AI-generated information is variable in accuracy and often requires professional interpretation. Consultations involving AI-informed patients may require additional time, and many patients do not disclose their use of AI tools, creating communication gaps.These findings suggest that artificial intelligence is reshaping the informational environment of clinical care and redefining the role of the physician.Read the articlehttps://gmj.ge/index.php/pub/article/view/21PDF versionhttps://gmj.ge/index.php/pub/article/view/21/10DOIhttps://doi.org/10.5281/zenodo.19057370Citation:Artificial Intelligence–Informed Patients and the Transformation of Doctor–Patient Communication: Evidence from a Mixed-Methods Study in Georgian Outpatient Clinics. Georgian Medical Journal. 2026.https://doi.org/10.5281/zenodo.19057370