NCT06725901

Brief Summary

This study evaluates a diagnostic support platform, DIAGEN-IA, designed to identify pediatric neurological diseases with a genetic basis. Conducted at Carlos Van Buren Hospital in Chile, it aims to determine if the platform reduces inappropriate referrals to clinical geneticists, improves diagnostic evaluations, enhances referral quality, and increases user satisfaction. A prospective before-and-after design will compare outcomes across two phases: baseline data collection and an intervention phase using DIAGEN-IA. Healthcare professionals will use the platform to guide referrals and diagnostic studies. Outcomes include referral appropriateness, completeness of evaluations, quality of referrals, and user satisfaction.

Trial Health

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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
9

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Dec 2024

Geographic Reach
1 country

1 active site

Status
recruiting

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

December 5, 2024

Completed
5 days until next milestone

First Posted

Study publicly available on registry

December 10, 2024

Completed
Same day until next milestone

Study Start

First participant enrolled

December 10, 2024

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 30, 2025

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2025

Completed
Last Updated

May 29, 2025

Status Verified

May 1, 2025

Enrollment Period

11 months

First QC Date

December 5, 2024

Last Update Submit

May 22, 2025

Conditions

Keywords

Neurogenetic disordersGenetic diseasePediatricsClinical Decision Support SystemsReferral and ConsultationBayesian Network

Outcome Measures

Primary Outcomes (1)

  • Proportion of Inappropriate Referrals

    The primary outcome of this study is the proportion of referrals deemed inappropriate by clinical geneticists. Appropriateness is assessed using a 5-point Likert scale, where referrals scoring 1 or 2 are classified as inappropriate. This evaluation considers all referral requests received during the study period, regardless of whether an in-person evaluation occurred.

    6 months

Secondary Outcomes (2)

  • Completeness of Initial Diagnostic Evaluations

    6 months

  • User Satisfaction

    1 and 6 months

Study Arms (1)

Web-Based Application

EXPERIMENTAL

The intervention involves the use of the DIAGEN-IA platform, a diagnostic support application designed to assist in identifying pediatric neurological diseases with a genetic basis. DIAGEN-IA employs a Bayesian network model, integrating ontologies such as ORDO, HPO, and HOOM to link phenotypic characteristics entered by physicians with suggested diagnoses and recommended tests. Participating pediatric neurologists will receive training to use the application during the 6-month intervention phase. The platform enables clinicians to input clinical data and complementary test results, generating a list of potential diagnoses and corresponding diagnostic tests. The results can be exported in PDF format for integration into the patient's medical record. Throughout the intervention, platform usage will be monitored, including login frequency, duration of use, and the number of evaluations performed.

Device: Web-Based Application

Interventions

The intervention involves the DIAGEN-IA platform, a diagnostic support tool designed to identify pediatric neurological diseases with a genetic basis. Using a Bayesian network model and integrating ontologies such as ORDO, HPO, and HOOM, DIAGEN-IA links phenotypic data entered by physicians to suggested diagnoses and tests. Pediatric neurologists will be trained to use the platform during a 12-month intervention. DIAGEN-IA allows clinicians to input clinical and diagnostic data, generating differential diagnoses and recommended tests, with results exportable in PDF for integration into medical records. Platform usage will be tracked, including login frequency, time spent, and evaluations performed.

Web-Based Application

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Neuropediatricians working in the Carlos Van Buren Hospital.
  • Participants providing care to pediatric patients (under 18 years of age).
  • Native Spanish speakers or those with certified C1-level Spanish proficiency according to the Common European Framework of Reference for Languages.
  • Professionals responsible for referring pediatric patients with suspected rare diseases to a clinical geneticist.

You may not qualify if:

  • Refusal to participate.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hospital Carlos Van Buren

Valparaíso, Región de Valparaíso, 2341131, Chile

RECRUITING

Related Links

MeSH Terms

Conditions

Genetic Diseases, Inborn

Condition Hierarchy (Ancestors)

Congenital, Hereditary, and Neonatal Diseases and Abnormalities

Study Officials

  • Nicole Nakousi-Capurro, MD

    Hospital Carlos Van Buren

    STUDY DIRECTOR

Central Study Contacts

Nicole Nakousi-Capurro, MD

CONTACT

Carla Taramasco, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Masking Details
The data analyst will be masked to trial results.
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Model Details: This is a before and after study.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Methodologist

Study Record Dates

First Submitted

December 5, 2024

First Posted

December 10, 2024

Study Start

December 10, 2024

Primary Completion

October 30, 2025

Study Completion

December 30, 2025

Last Updated

May 29, 2025

Record last verified: 2025-05

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