Menu
Not yet recruiting NCT07406919

AI Telemedicine Support for Primary Care Physicians in El Salvador

No phase Interventional Artificial Intelligence (AI) in Diagnosis

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: DoctorSV AI Assistant, Standard Telemedicine Workflow (No AI).
Who it may be relevant to
Registry conditions: Artificial Intelligence (AI) in Diagnosis. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
El Salvador
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Pragmatic Randomized Clinical Trial of AI-Assisted Telemedicine to Improve Diagnostic Accuracy Among Primary Care Physicians in El Salvador

Overview

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.

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 appropr
  • 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.

Primary outcome measures

  • Diagnostic Accuracy [Time frame: Through study completion, ~ 12-16 weeks]
Secondary outcome measures (3)
  • Diagnostic Concordance [Time frame: Through study completion, ~12-16 weeks]
  • Diagnostic Accuracy Stratified by Physician Experience Level [Time frame: Through study completion, ~12-16 weeks]
  • Diagnostic Accuracy Stratified by Clinical System [Time frame: Through study completion, ~12-16 weeks.]

Eligibility criteria

Inclusion criteria

  • Must be a physician employed by the DoctorSV telemedicine program
  • Must provide written informed consent to participate in the study
  • Consultations must be for acute pathologies of the digestive, respiratory, or urinary systems, or acute ophthalmic infections manageable in primary care
  • Consultation must be the first medical contact (first visit) for the current acute episode
  • The condition must correspond to specific ICD-11 codes defined in the study protocol

Exclusion criteria

  • Physicians who are inactive on the platform for more than 4 consecutive weeks
  • Physicians who transition to work modalities other than telemedicine or reduce their working hours to less than 20 hours per week
  • Physicians whose employment contract ends (resignation, dismissal, or contract completion) during the data collection period
  • Consultations classified by the physician as requiring immediate in-person attention
  • Consultations requiring referral to another level of care or specialty for definitive management
  • Consultations interrupted or incomplete due to connectivity or system failures
  • Consultations solely for administrative purposes (e.g., certificates, repeat prescriptions without clinical evaluation)
  • Consultations that are follow-up visits or controls for a previously evaluated episode

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Double blind
Primary purpose
Diagnostic

Study locations

El Salvador · 1 center
  • Hospital Nacional El Salvador — San Salvador

Identifiers

NCT: NCT07406919 · CNEIS/2025/32

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗