Artificial Intelligence-driven Virtual Standardized Pediatric Patients Trial
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
1 other identifier
interventional
459
1 country
3
Brief Summary
Background: China's healthcare system for children faces significant challenges, particularly due to the limited pediatric service capacity of primary healthcare institutions. A shortage of effective and accessible training tools for primary care doctors further hinders progress in addressing this gap. Technological advancements, especially in artificial intelligence, offer a potential solution to improve pediatric care. Artificial intelligence-driven virtual standardized patients (VSPs), leveraging internet and virtual simulation technologies, simulate clinical cases with specific disease characteristics, providing an innovative, efficient, and flexible training method. VSPs are increasingly utilized in medical education, clinical reasoning, and licensure exams. This study focuses on using VSPs to improve the management of common pediatric conditions, which are major health concerns for children and impose significant psychological and financial burdens on families. Methods: This study will involve a three-arm randomized controlled trial to evaluate the effectiveness of a virtual pediatric standardized patient platform in enhancing primary care doctors' management of common pediatric diseases. At least 459 participants, including general practitioners, internal medicine practitioners, surgeons, and pediatricians from more than 10 provinces across China, will be randomly assigned to one of three groups: the virtual patient platform group, the case teaching manual group, or the case teaching video group. Five virtual patient cases covering pneumococcal pneumonia, rotavirus enteritis with hypovolemic shock, hand-foot-and-mouth disease, acute appendicitis, and respiratory failure will be developed, along with corresponding case teaching materials. After a two-week learning period, participants' disease management abilities will be assessed using clinical vignettes. The primary outcome is adherence to best clinical practice guidelines, categorized into full adherence, partial adherence, and nonadherence. Discussion: This study aims to leverage artificial intelligence for capacity enhancement, targeting the shortcomings of primary care pediatrics and using VSP to help enhance primary care pediatrics capacity. It is a randomized controlled trial involving over 300 primary healthcare institutions across more than 10 provinces in China, ensuring broad and representative participation from both developed and underdeveloped regions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2024
Shorter than P25 for not_applicable
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 1, 2024
CompletedFirst Posted
Study publicly available on registry
November 21, 2024
CompletedStudy Start
First participant enrolled
December 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2025
CompletedDecember 19, 2024
December 1, 2024
Same day
November 1, 2024
December 15, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Doctor adherence to best clinical practice guidelines
Doctor adherence to best clinical practice guidelines, i.e., the extent to which doctors consistently make judgments and treatments based on best clinical practice guidelines and progression of the disease. Ordered categorical variable, consisting of three grades: full adherence, partial adherence, and nonadherence. It will be measured using clinical vignette method.
Through study completion, an average of 6 months
Secondary Outcomes (8)
Dichotomous variable of doctor adherence to best clinical practice guidelines
Through study completion, an average of 6 months
The degree of accuracy of a doctor's diagnosis according to best clinical practice guidelines
Through study completion, an average of 6 months
Doctor score of examination that is directly related to handling the disease
Through study completion, an average of 6 months
Doctor score of examination that is related to expansion skills of handling the disease
Through study completion, an average of 6 months
The level at which the doctor focuses on meeting the actual needs of the patient and gives due consideration to the patient's feelings
Through study completion, an average of 6 months
- +3 more secondary outcomes
Study Arms (3)
Virtual standardized patients (VSPs) training
EXPERIMENTALVirtual standardized patients (VSPs), utilizing internet and virtual simulation technology, emulate patients with specific disease characteristics and clinical manifestations. With advantages in safety, flexibility, convenience, and efficiency, VSPs are used in medical education, clinical reasoning training, and licensure examinations. Doctors will interact with VSPs to conduct clinical simulations and training, including consultations, physical examinations, auxiliary examinations, and treatment decision-making, to enhance their capabilities for managing common pediatric diseases
Case teaching manuals
EXPERIMENTALDoctors will use case teaching manuals to enhance their capabilities for managing common pediatric diseases
Case teaching videos
EXPERIMENTALDoctors will use case teaching videos to enhance their capabilities for managing common pediatric diseases
Interventions
Virtual standardized patients (VSPs), utilizing internet and virtual simulation technology, emulate patients with specific disease characteristics and clinical manifestations. With advantages in safety, flexibility, convenience, and efficiency, VSPs are used in medical education, clinical reasoning training, and licensure examinations. Doctors will interact with VSPs to conduct clinical simulations and training, including consultations, physical examinations, auxiliary examinations, and treatment decision-making, to enhance their capabilities for managing common pediatric diseases
Doctors will use case teaching manuals to enhance their capabilities for managing common pediatric diseases
Doctors will use case teaching videos to enhance their capabilities for managing common pediatric diseases
Eligibility Criteria
You may not qualify if:
- Primary and secondary hospitals
- Community health centers (stations) and clinics, as well as township health centers and village health clinics
- 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)
- 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
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
Yuntan Street Community Health Center
Guiyang, Guizhou, 550081, China
Jinxi County People's Hospital
Fuzhou, Jiangxi, 344899, China
Honghe County People's Hospital
Yisa, Yunnan, 654499, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Yao Zhao, Doctor
National Clinical Research Center for Child Health and Disorders, Chongqing, China
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
November 1, 2024
First Posted
November 21, 2024
Study Start
December 1, 2024
Primary Completion
December 1, 2024
Study Completion
January 1, 2025
Last Updated
December 19, 2024
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Starting 6 months after publication
- Access Criteria
- All collected IPDs will be provided in a timely manner to anyone who has a valid reason for requesting data from the corresponding author.
All collected IPD, all IPD that underlie results in a publication, are to be shared.