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AI Telemedicine Support for Primary Care Physicians in El Salvador

NCT07406919 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 180

Last updated 2026-02-17

No results posted yet for this study

Summary

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.

Conditions

  • Artificial Intelligence (AI) in Diagnosis

Interventions

DEVICE

DoctorSV AI Assistant

An AI tool integrated into the telemedicine platform, built on Google's Gemini Large Language Models (LLMs). The system operates via two modules: (1) a clinical history assistant that supports structured documentation of patient information in real-time and (2) a pre-diagnosis tool that analyzes documented clinical data to generate differential diagnosis suggestions for the physician's consideration. The model uses contextual prompting to ensure suggestions are culturally and clinically appropriate for El Salvador.

OTHER

Standard Telemedicine Workflow (No AI)

Standard primary care consultation via videocall without the assistance of artificial intelligence tools. Physicians rely solely on their own clinical judgment and manual documentation without automated summaries or diagnostic prompts.

Sponsors & Collaborators

  • Hospital El Salvador

    lead OTHER_GOV

Principal Investigators

  • Manuel Bello, MD · Hospital Nacional El Salvador

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-28
Primary Completion
2026-08-31
Completion
2026-08-31

Countries

  • El Salvador

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07406919 on ClinicalTrials.gov