Primary Care Diseases
Conditions
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.
Interventions
DEVICEAI model
The clinical intelligent AI system is equipped with an AI agent doctor, enabling patients to conduct self-consultations and receive care anytime and anywhere without the need for a real doctor.
Sponsors
Tsinghua University
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
for primary care physicians: * Fluent in the local languages spoken at each center. * With the general practice medical qualifications. * Agree to participate in the study and sign the informed consent form. Inclusion criteria for simulated patient volunteers: * Age ≥ 18 years. * Fluent in the local languages spoken at each center. * Able to use electronic devices with intelligent systems. * Able to accurately express symptoms and participate throughout the process. * Agree to participate in the study and sign the informed consent form. Exclision criteria: N/A
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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.) |
Countries
China
Outcome results
None listed