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NCT06893068
Clinical Intelligent Management System Pragmatic RCT
NA trial testing AI-based clinical intelligent management system in Primary Care Diseases in 204 participants. Currently enrolling.
30 June 2025
Quick facts
| Lead sponsor | Tsinghua University |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | supportive care |
| Enrollment | 204 |
| Start date | 13 April 2025 |
| Primary completion | 30 June 2025 |
| Estimated completion | 31 July 2025 |
| Sites | 1 location across China |
Drugs / interventions tested
- AI-based clinical intelligent management system
Conditions studied
- Primary Care Diseases — all drugs for Primary Care Diseases →
Sponsor
Tsinghua University
Who can join
18 and older, any sex, with Primary Care Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06893068
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Primary Care Diseases
Currently open trials in the same condition.
- NCT06923410 — Clinical Intelligent Management System - Multilingual Exploration · NA · recruiting
Other Tsinghua University trials
Trials by the same sponsor.
- NCT07171086 — AI-POCUS for Maternal and Neonatal Health in Ethiopia · Phase 4 · not yet recruiting
- NCT06980467 — Evaluation of AI-Generated Clinical Advice by Physicians · NA · not yet recruiting
- NCT06962423 — AI-driven Automated Biomedical Research · NA · not yet recruiting
- NCT06923410 — Clinical Intelligent Management System - Multilingual Exploration · NA · recruiting
- NCT06827964 — Practice of Nutrition Package in Myanmar · NA · not yet recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06893068 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Tsinghua University
- Last refreshed: 16 May 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06893068.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing