Triage

This study evaluates a certified artificial intelligence (AI) based software system that automatically interprets laboratory test results in combination with a structured, dynamically generated medical history questionnaire. The purpose of the study is to determine how accurately and how safely the system assigns a patient to a category of urgency of medical contact, and how closely the interpretations produced by the system correspond to the assessment of an expert physician. Adults treated at two university hospitals in Katowice, Poland, who are referred for laboratory testing, complete an electronic medical history questionnaire after their laboratory results become available. The system then generates an interpretation for each laboratory result, including a category of urgency of medical contact, a suggested medical specialty and suggested further laboratory tests. The attending physician independently records a clinical assessment of the same laboratory results and medical history without access to the output of the system. An independent expert physician subsequently establishes the reference assessment, blinded to the authorship of the assessments being compared. The interpretation report is released to the participant only after the assessment of the attending physician has been recorded and locked. The study is conducted in two phases. The first phase (609 participants) is exploratory and uses the initial version of the system. The second phase (290 participants) is confirmatory and uses the final, frozen version of the system. All outcome measures are assessed in both phases; the pre-specified confirmatory hypothesis test applies to the second phase. The endpoints of this study are properties of the software system, namely the concordance of its output with an expert reference assessment. Health outcomes of participants are not measured.

This multicenter prospective observational cohort study evaluates how well the initial triage category assigned by the Turkish Ministry of Health three-level color-coded triage system (Red-Yellow-Green) predicts serious clinical outcomes in children aged 0-18 years who present with fever to pediatric emergency departments. The study additionally assesses whether physiological parameters recorded at triage (heart rate, respiratory rate, oxygen saturation, capillary refill time, AVPU level of consciousness, and general appearance) provide independent and incremental prognostic value beyond the assigned triage category. Ten centers across Turkey will enroll consecutive eligible febrile children over a 3-month period. Routine clinical care and triage decisions are not altered by the study. The primary outcome is a composite serious clinical outcome. The study is reported in accordance with the STROBE and TRIPOD statements.

Although the Manchester Triage System (MTS) is widely used and validated internationally, it has some limitations. Its accuracy is moderate, especially for children and the elderly. Rising patient numbers and overcrowded emergency departments increase wait times, sometimes beyond safe limits. In Slovenia, MTS has been in use for 14 years without major updates, despite a significant rise in emergency visits. The yellow triage category (60-minute wait time) includes a very diverse group of patients, some of whom might require faster care. Older patients, in particular, often show atypical symptoms and may be under-triaged. Including rapid bedside lab tests, like blood lactate levels, could improve risk assessment and triage accuracy. Elevated lactate is linked with higher mortality and can help identify critically ill patients more effectively. The proposed study is a prospective, randomized trial involving two groups of patients in the yellow triage category, all of whom will have their capillary blood lactate levels measured. Patients with normal lactate levels will be excluded. Only patients with elevated lactate will be compared. The test group will be re-triaged to the orange category and treated more urgently. The control group, despite also having high lactate levels, will remain in the yellow category, and their elevated lactate values will not be shared with the treating physician. Randomization will be based on the patient's birth date (even days = test group, odd days = control group). Only the nurse will know the result, maintaining physician blinding to avoid the Hawthorne effect-changes in behavior due to awareness of being studied. Standard lab tests will be performed later during treatment as deemed necessary by the attending doctor.

Emergency department (ED) overcrowding is a growing issue, affecting patient safety, healthcare quality, and hospital efficiency. One strategy to manage low-acuity patients is triage-based redirection, where patients with non-urgent conditions are offered the option to receive care at external medical facilities instead of the ED. This monocentric, prospective observational study will be conducted at Fribourg Cantonal Hospital, Switzerland, and evaluates the impact of a new electronic triage and redirection system (Logibec Réorientation). The study compares two triage processes: Current practice - Redirection based on the Swiss Emergency Triage Scale (SETS), limited to low-acuity patients (SETS 4). New practice - Redirection using the Logibec software, allowing redirection of both low-acuity (SETS 4) and semi-urgent (SETS 3) patients based on predefined criteria. The primary objective is to assess whether the new triage-based redirection reduces the number of ED consultations per patient within 48 hours of their initial visit. Secondary outcomes include: Number of consultations in the ED or other medical facilities within 7 days Rate of hospital admissions within 7 days Patient satisfaction with redirection Evolution of health literacy over 6 months Number of ED visits over 6 months Participants are adult patients (≥18 years old) classified as SETS 3-4 and identified as eligible for redirection by the Logibec software. Data will be collected through phone interviews and questionnaires over a 6-month follow-up period. This study aims to improve triage efficiency, patient flow management, and healthcare accessibility, while ensuring patient safety in the redirection process.