Primary Care Diseases
Conditions
Brief summary
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.
Interventions
DEVICEAI-based clinical intelligent management system
The clinical intelligent management system, integrated with AR glasses and powered by a multimodal foundational model, is designed to improve the quality of outpatient care at community health service centers.
Sponsors
Tsinghua University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age ≥18 years * Receiving care at a community health service center * Able to understand and comply with the study procedures * Agrees to participate in the study and signs the informed consent form
Exclusion criteria
* Patients with severe mental illness * Patients unable to independently complete the questionnaire * Patients expected to be unable to complete follow-ups within three months
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Comprehensive Assessment of clinical performance | From enrollment to the end of treatment at 3 months of all recruited cases | Primary Care Quaility Assessment Scales (range: 0 to 100 for each case; the higher scores means the better performance) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| AI-System's appraisal | At the end of 3 months | System usability was accessed by participating doctors of an AI-assisted group using the Health Information Technology Usability Evaluation Scale, 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
Contacts
Primary ContactJing Gu
Outcome results
None listed