TriageNCT07312968
AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.
An observational study of Triage, run by University of Catanzaro at 1 site in Italy.
Trial 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… Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Triage
- What is being tested?
- Observation
- How many people
- 1,500 participants
- Where
- 1 siteItaly
- Study dates
- 1 Nov 2025to 30 Nov 2027
- How long will I take part?
- 6 Months
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: All individuals who request access to the ER will be duly considered.
Who may be able to join
- all
Who cannot join
- Patients labelled with red codes and serious injuries.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data
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.
- Conditions
- Triage
- Being tested
- Observation
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ObservationOther
there is no intervetiuons
What is being measured
The primary outcome is the main question the study is designed to answer.
Numbers of Undertriaged
The investigators will measure the number of misclassifications
Measured: 12 monthds
Undertriaged
The investigators will measure the ability to predict undertriage
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Dec 2025
- Study start1 Nov 2025
- Primary completionNov 2026 (estimated)
- Study completion30 Nov 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for TriageStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 1,500 participants (actual)
- Target duration
- 6 Months
Sponsor and investigators
- Lead sponsor
- University of Catanzaro
- Sponsor type
- University, hospital or other
- Collaborators
- Azienda Ospedaliera Universitaria Renato Dulbecco
- Responsible party
- Principal investigator, Pietro Hiram Guzzi, University of Catanzaro
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07312968
- Sponsor's protocol ID
- AI4Triage
- Status last verified
- Dec 2025
- First submitted
- 17 Dec 2025
- Last updated
- 6 Jan 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 6 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data
- ClinicalTrials.gov ID
- NCT07312968
- Acronym / sponsor ID
- AI4Triage
- Conditions
- Triage
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 1,500 participants (actual)
- Lead sponsor
- University of CatanzaroUniversity, hospital or other
- Collaborators
- Azienda Ospedaliera Universitaria Renato Dulbecco
- Study start
- 1 Nov 2025 (actual)
- Primary completion
- Nov 2026 (estimated)
- Study completion
- 30 Nov 2027 (estimated)
- First posted
- 31 Dec 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 6 Months
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- All individuals who request access to the ER will be duly considered.
Key inclusion criteria (1 listed)
- all
Key exclusion criteria (1 listed)
- Patients labelled with red codes and serious injuries.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Observationthere is no intervetiuons | Other | – |
Primary outcome
Numbers of Undertriaged
Time frame: 12 monthds
The investigators will measure the number of misclassifications
Undertriaged
Time frame: 12 months
The investigators will measure the ability to predict undertriage
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Jan 2026.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Triage, run by University of Catanzaro at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 6 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Numbers of Undertriaged (time frame: 12 monthds). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Jan 2026.