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Pragmatic Randomized Clinical Trial of AI-Assisted Telemedicine to Improve Diagnostic Accuracy Among Primary Care Physicians in El Salvador
The goal of this clinical trial is to learn whether access to an artificial intelligence (AI) clinical decision support assistant can improve diagnostic accuracy during real-world telemedicine consultations among primary care physicians in El Salvador. The main questions it aims to answer are: * Does access to the AI assistant increase the proportion of correct diagnoses compared to telemedicine without AI assistance? * Does the effect of the AI assistant differ according to the physician's prior experience using AI in telemedicine? Researchers will compare physicians with the AI assistant enabled to physicians with the AI assistant temporarily disabled to see if access to AI improves diagnostic accuracy. Participants (physicians) will: * Provide telemedicine consultations as part of their routine clinical duties. * Be randomly assigned to either have the AI assistant enabled or disabled during the study period. * Continue documenting clinical encounters in the electronic platform as usual. * Have their anonymized consultation notes reviewed by an independent expert panel to determine diagnostic accuracy.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Hospital Nacional El Salvador
San Salvador, El Salvador
Start Date
February 1, 2026
Primary Completion Date
August 1, 2026
Completion Date
August 1, 2026
Last Updated
February 17, 2026
180
ESTIMATED participants
DoctorSV AI Assistant
DEVICE
Standard Telemedicine Workflow (No AI)
OTHER
Lead Sponsor
Hospital El Salvador
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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