Ignite Creation Date:
2026-03-26 @ 3:16 PM
Ignite Modification Date:
2026-03-31 @ 12:24 AM
Study NCT ID:
NCT07312968
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2026-01-06
First Post:
2025-12-17
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2026-03-25'}, 'interventionBrowseModule': {'meshes': [{'id': 'D019370', 'term': 'Observation'}], 'ancestors': [{'id': 'D008722', 'term': 'Methods'}, {'id': 'D008919', 'term': 'Investigative Techniques'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 1500}, 'targetDuration': '6 Months', 'patientRegistry': True}, 'statusModule': {'overallStatus': 'ACTIVE_NOT_RECRUITING', 'startDateStruct': {'date': '2025-11-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-12', 'completionDateStruct': {'date': '2027-11-30', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-12-31', 'studyFirstSubmitDate': '2025-12-17', 'studyFirstSubmitQcDate': '2025-12-17', 'lastUpdatePostDateStruct': {'date': '2026-01-06', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2025-12-31', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-11', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Numbers of Undertriaged', 'timeFrame': '12 monthds', 'description': 'The investigators will measure the number of misclassifications'}, {'measure': 'Undertriaged', 'timeFrame': '12 months', 'description': 'The investigators will measure the ability to predict undertriage'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Triage']}, 'descriptionModule': {'briefSummary': '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.\n\nThe 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.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT', 'OLDER_ADULT'], 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'All individuals who request access to the ER will be duly considered.', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* all\n\nExclusion Criteria:\n\n* Patients labelled with red codes and serious injuries.'}, 'identificationModule': {'nctId': 'NCT07312968', 'briefTitle': 'AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.', 'organization': {'class': 'OTHER', 'fullName': 'University of Catanzaro'}, 'officialTitle': 'AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data', 'orgStudyIdInfo': {'id': 'AI4Triage'}}, 'armsInterventionsModule': {'interventions': [{'name': 'Observation', 'type': 'OTHER', 'description': 'there is no intervetiuons'}]}, 'contactsLocationsModule': {'locations': [{'city': 'Catanzaro', 'country': 'Italy', 'facility': 'University of Catanzaro', 'geoPoint': {'lat': 38.88247, 'lon': 16.60086}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'University of Catanzaro', 'class': 'OTHER'}, 'collaborators': [{'name': 'Azienda Ospedaliero Universitaria Renato Dulbecco', 'class': 'UNKNOWN'}], 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Full Professor', 'investigatorFullName': 'Pietro Hiram Guzzi', 'investigatorAffiliation': 'University of Catanzaro'}}}}