Clinical Intelligent Management System - Multilingual Exploration

Not Applicable

Recruiting

• Conditions: Primary Care Diseases

• Registration Number: NCT06923410
• Lead Sponsor: Tsinghua University

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2025-04-02
• Study First Submitted QC: 2025-04-09
• Study First Posted: 2025-04-11
• Study Start: 2025-04-15
• Status Verified: 2025-05
• Last Update Submitted: 2025-05-13
• Last Update Posted: 2025-05-16
• Primary Completion: 2025-06-30
• Study Completion: 2025-07-31

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 40

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Comprehensive Assessment of physician's clinical abilities	Immediately after the simulated consultation	Clinical Abilities Assessment Scales for Primary Care (range: 0 to 100 for each case; the higher scores means the better performance)

Secondary Outcome Measures

Name	Time	Method
System's Usability	Immediately after the simulated consultation with AI system	System Usability Evaluation Scale accessed by participating simulated patients, rated on a five-point Likert scale from strongly disagree (1) to strongly agree (5). (A higher scale value indicates higher perceived usability of the technology.)

Trial Locations

Locations (1)

Tiantongyuan North Community Healthcare Center; 🇨🇳 Beijing, Beijing, China