NCT07312968

Brief Summary

Artificial intelligence, and in particular Graph Neural Networks (GNNs), have shown enormous potential in the analysis of complex clinical data. Thanks to their ability to model relationships between variables, GNNs represent a significant evolution compared to traditional models, enabling better interpretation of medical information and supporting data-driven decision-making in complex contexts such as emergency medicine. The application of GNNs to clinical triage and to the prediction of length of stay can improve clinical efficiency by optimizing resource allocation and patient management. This observational study aims to evaluate the accuracy of predictions with respect to real clinical data, contributing to the development of advanced predictive tools to support healthcare decision-making processes.

Trial Health

75
On Track

Trial Health Score

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

Enrollment
1,500

participants targeted

Target at P75+ for all trials

Timeline
19mo left

Started Nov 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress25%
Nov 2025Nov 2027

Study Start

First participant enrolled

November 1, 2025

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

December 17, 2025

Completed
14 days until next milestone

First Posted

Study publicly available on registry

December 31, 2025

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2026

Expected
1.1 years until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2027

Last Updated

January 6, 2026

Status Verified

December 1, 2025

Enrollment Period

1 year

First QC Date

December 17, 2025

Last Update Submit

December 31, 2025

Conditions

Triage

Outcome Measures

Primary Outcomes (2)

  • Numbers of Undertriaged

    The investigators will measure the number of misclassifications

    12 monthds

  • Undertriaged

    The investigators will measure the ability to predict undertriage

    12 months

Interventions

ObservationOTHER

there is no intervetiuons

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

All individuals who request access to the ER will be duly considered.

You may qualify if:

  • all

You may not qualify if:

  • Patients labelled with red codes and serious injuries.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Catanzaro

Catanzaro, Italy

Location

MeSH Terms

Interventions

Observation

Intervention Hierarchy (Ancestors)

MethodsInvestigative Techniques

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
6 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Full Professor

Study Record Dates

First Submitted

December 17, 2025

First Posted

December 31, 2025

Study Start

November 1, 2025

Primary Completion (Estimated)

November 1, 2026

Study Completion (Estimated)

November 30, 2027

Last Updated

January 6, 2026

Record last verified: 2025-12

Locations

IT(1)