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

NCT05382000 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 450

Last updated 2024-05-17

No results posted yet for this study

Summary

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).

Conditions

  • Emergencies

Interventions

DIAGNOSTIC_TEST

Advanced triage tool for Gynecology and Obstetrics emergencies based on artificial intelligence algorithms.

After the conventional triage, a second independent doctor will make the suit with the Mediktor Hospital tool.. In less than 3 minutes and with an average of 14 questions, Mediktor performs an interrogation very similar to what an emergency doctor would do. The professional version allows the health professional to modify the course of the questions in the middle of the evaluation, if he considers it necessary to go deeper into some aspect of the anamnesis. The system allows you to see in real time the diseases that Mediktor considers possible during the evaluation. At the end of the triage process, Mediktor offers the level of urgency and a list of possible diagnoses based on the signs and symptoms answered. The professional can change the level of urgency if he considers it beneficial for the patient. Once the two triages (Conventional and Mediktor) have been carried out, the patient will be seen according to the care protocols of the center.

Sponsors & Collaborators

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

    lead OTHER

Principal Investigators

  • Josep Estadella Tarriel · Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-11
Primary Completion
2024-08-01
Completion
2024-12-01

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05382000 on ClinicalTrials.gov