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Recruiting NCT06893068

NCT06893068 Clinical Intelligent Management System Pragmatic RCT

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Clinical Trial Summary
NCT ID NCT06893068
Status Recruiting
Phase
Sponsor Tsinghua University
Condition Primary Care Diseases
Study Type INTERVENTIONAL
Enrollment 204 participants
Start Date 2025-04-13
Primary Completion 2025-06-30

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
AI-based clinical intelligent management system

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 204 participants in total. It began in 2025-04-13 with a primary completion date of 2025-06-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

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.

Eligibility Criteria

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

Contact & Investigator

Central Contact

Jing Gu

✉ g950324@163.com

📞 86+(510)82335104

Principal Investigator

Tien Yin Wong

PRINCIPAL INVESTIGATOR

Tsinghua University

Frequently Asked Questions

Who can join the NCT06893068 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Primary Care Diseases. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06893068 currently recruiting?

Yes, NCT06893068 is actively recruiting participants. Contact the research team at g950324@163.com for enrollment information.

Where is the NCT06893068 trial being conducted?

This trial is being conducted at Wuxi, China.

Who is sponsoring the NCT06893068 clinical trial?

NCT06893068 is sponsored by Tsinghua University. The principal investigator is Tien Yin Wong at Tsinghua University. The trial plans to enroll 204 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: July 2026  ·  Data Methodology