Using AI to train doctors in pediatric care
Official title: Utilizing Artificial Intelligence-driven Virtual Standardized Pediatric Patients to Enhance the Capabilities of Primary Healthcare Doctors in China for Managing Common Pediatric Diseases: a Randomized Controlled Trial
Run by Southern Medical University, China · NCT06699433 · Data updated 2026-11-12
This study is testing whether using virtual patients powered by AI can help train doctors in China to better care for children with common health issues.
Quick facts
| Study type | Interventional |
|---|---|
| Sex | All |
| Enrollment | 459 (estimated) |
| Sponsor | Southern Medical University, China Academic / other |
| Locations | 3 sites (Guiyang, Guizhou and 2 other locations) |
| Status | Recruiting |
| Started | December 2024 |
| Main results expected | December 2024 |
| Study ends | January 2025 |
| Registry record updated | December 19, 2024 |
| Trial ID | NCT06699433 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are practicing doctors and rural doctors working in primary and secondary healthcare institutions.
✕Probably not a fit
Patients receiving care from specialized medical institutions or those not involved in general practice, internal medicine, surgery, or pediatrics may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to enhance pediatric healthcare in China by utilizing artificial intelligence-driven virtual standardized patients (VSPs) to simulate clinical cases of common pediatric conditions. The approach focuses on providing training tools for primary care doctors in various healthcare settings, including community health centers and clinics. By leveraging internet and virtual simulation technologies, the study seeks to improve the management of conditions such as pneumococcal pneumonia and acute appendicitis, addressing the significant challenges faced by the pediatric healthcare system. The interventions include case teaching manuals and videos to support the training process.
Why it matters
Potential benefit: If successful, this could significantly improve the quality of pediatric care provided by primary healthcare practitioners.
How similar studies have gone: While the use of virtual standardized patients in medical education is gaining traction, this specific application in pediatric care is relatively novel and untested.
Who can join: the full rules
Show full inclusion / exclusion criteria
1. Inclusion and Exclusion Criteria for Research Institutions Inclusion Criteria: * Primary and secondary hospitals * Community health centers (stations) and clinics, as well as township health centers and village health clinics Exclusion Criteria: * Specialized medical institutions (such as specialized hospitals and dental clinics) * Public health prevention and treatment institutions (such as tuberculosis prevention centers) * Ethnic medicine institutions (such as Mongolian and Tibetan hospitals) * Hospitals above the secondary level * Hospitals that have not yet been graded (due to their short establishment time and potentially unstable operations) 2. Inclusion and exclusion criteria for research subjects Inclusion Criteria: * Practicing (assistant) doctors and rural doctors working in medical institutions that meet the above conditions * With a scope of practice only including general practice, internal medicine, surgery, and pediatrics Exclusion Criteria: -None
Where it's running
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Yuntan Street Community Health Center
Guiyang, Guizhou, China Recruiting -
Jinxi County People's Hospital
Fuzhou, Jiangxi, China Recruiting -
Honghe County People's Hospital
Yisa, Yunnan, China Recruiting
Study contacts
- Principal investigator: Yao Zhao, Doctor — National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Study coordinator: Luo
- Email: huanyuanluo33@gmail.com
- Phone: +86-19566890018
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.