Clinical Research Directory

Clinical Intelligent Management System Pragmatic RCT

This study aims to evaluate the effectiveness of a clinical intelligent management system, based on a multimodal foundational model, in improving the quality of primary care at a community health service center. Using a prospective, randomized controlled, single-blind study design, the trial will include primary care physicians and adult patients seeking care at the Tiantongyuanbei Community Health Service Center and Shanghai Health and Medical Center. Physicians in the intervention group will utilize the intelligent management system with AR glasses to aid in diagnosis and treatment, while patients will engage with the system's patient interface to access health education, follow-up reminders, and AI-powered home consultation features. In contrast, physicians in the control group will provide routine diagnoses and treatments, with their patients receiving standard health education and follow-up care. The trial was designed with the assistance of a digital twin-based clinical research system (termed X Town). By comprehensively evaluating diagnostic quality, physicians' clinical abilities, patient-reported outcomes, and system appraisals, this study will assess the effectiveness of the clinical intelligent management system in enhancing the quality of primary care and patient management.

Clinical Intelligent Management System - Multilingual Exploration

This study aims to explore the diagnostic and therapeutic performance of a multimodal foundation model-based clinical intelligent management system in simulated outpatient scenarios. Specifically, it will compare the system's AI agent with general practitioners from different linguistic and cultural backgrounds worldwide, as well as various dialect and minority language regions in China. The study will be conducted across multiple centers in diverse regions to comprehensively evaluate the system's adaptability. Using a prospective, single-blind design, each center will recruit primary care physicians. Standardized simulated patients across all centers will be trained based on the same set of standardized cases and then will consult with four real physicians and the AI agent, ensuring consistency. By comparing diagnostic and treatment quality, patient satisfaction, and clinical outcomes, this study aims to explore the system's effectiveness in enhancing primary care and patient management across different regions and linguistic environments.