Patient Clinician Interaction

Patient-clinician interaction research aims to improve healthcare delivery by analyzing and optimizing communication dynamics. Current efforts focus on leveraging machine learning, including vision transformers and large language models, to automatically assess clinician workload, generate clinical documentation, and evaluate the performance of AI models in simulated patient interactions. These advancements offer the potential to enhance efficiency, reduce errors, and improve the quality of patient care through automated tools for workload monitoring, documentation assistance, and AI model validation.