Last reviewed · How we verify

NCT05382000: TIAGO

Artificial Intelligence (IA) Advanced Triage Tool for G&O Emergencies

Active, enrolled NA Last updated 17 May 2024
What this trial tests

NA trial testing Advanced triage tool for Gynecology and Obstetrics emergencies based on artificial intelligence algorithms. in Emergencies in 450 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline
11 May 2022
Primary endpoint
1 August 2024
1 December 2024

Quick facts

Lead sponsorFundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
PhaseNA
StatusActive, enrolled
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment450
Start date11 May 2022
Primary completion1 August 2024
Estimated completion1 December 2024
Sites1 location across Spain

Drugs / interventions tested

Conditions studied

Sponsor

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Who can join

18 and older, female only, with Emergencies. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Triage represents the first opportunity to classify patients who come to an Emergency Department (ED) and to be able to identify, prioritize high-risk patients and efficiently allocate the limited resources that are available. Therefore, the purpose of triage in the ED is to prioritize patients, detecting those that are urgent (that cannot wait to be attended). Urgency is defined as that clinical situation with the capacity to generate deterioration or danger to the health or life of the patient, depending on the time elapsed between its appearance and the establishment of an effective treatment, which determines a healthcare episode with significant intervention needs in a short period of time. There are currently six triage systems or models systematically structured into 5 levels. Although simple in concept, the practice of triage is challenging due to time pressure, the limitations of available information, the various medical conditions of the patients, and a great reliance on intuition on the part of the professionals who perform it. which conditions a great variability in it. On the other hand, almost half of adult ED visits nationwide are classified as level 3 in a 5-level structured triage system, which makes level 3 a heterogeneous group with patients with diverse pathologies, in which triage is not capable of accurately differentiating them, and this inability poses safety risks for the most severely ill patients ("under-triage") and may influence the accuracy and efficiency in resource allocation when patients with low acuity are overrated. Therefore, it seems necessary to develop new triage procedures that allow us to improve their accuracy and reduce inter-individual variability. TIAGO is a prospective, single-center, observational, comparative study to determine the validity of the Mediktor ® Triage and its effectiveness with respect to the current triage system and the "gold standard" (physician's diagnosis).

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Emergencies

Currently open trials in the same condition.

Other Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05382000.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing