Evaluation of the Validity and Reliability of ANKUTRIAGE, a New Decision Support System in Pediatric Emergency Triage
Bibliographic record
Abstract
BACKGROUND: The intensity of emergency services is an increasing health problem all over the world, necessitating an effective triage system. The aim of this study was to evaluate the validity and reliability of the "ANKUTRIAGE" in children. METHODS: This prospective, longitudinal study was carried out at a pediatric emergency department. ANKUTRIAGE, a 5-level computer-aided triage decision support system, was developed. Patients younger than 18 years who do not need emergency intervention, who had complete vital sign measurements, who gave consent for the study, and who were admitted to the emergency service during working hours with trained personnel were included. For validity, agreement between the urgency levels determined by ANKUTRIAGE and the reference triage systems: Pediatric Canadian Triage and Acuity Scale and Emergency Severity Index, was evaluated. In addition, the association of urgency levels with clinical outcomes was studied. To assess reliability, patients were evaluated by 2 blinded healthcare professionals using ANKUTRIAGE and a quadratic weighted κ was estimated. RESULTS: A total of 1232 children with a median age of 4.00 years were included. ANKUTRIAGE acuity levels significantly correlated with the number of resources used, the number of patients undergoing life-saving procedures, pediatric intensive care unit, and overall hospitalization rates, respectively ( P < 0.001, P < 0.001, P < 0.001, P < 0.001). The agreement of ANKUTRIAGE with Pediatric Canadian Triage and Acuity Scale was found to be 0.94 (95% confidence interval [CI], 0.93-0.94), with an Emergency Severity Index of 0.75 (95% CI, 0.70-0.80). The interrater agreement between 2 evaluators who used ANKUTRIAGE reflected as excellent consistency 0.92 (95% CI, 0.89-0.95; κ > 0.8). CONCLUSIONS: ANKUTRIAGE demonstrated high agreement with clinical outcomes and with proven triage systems and reflected high reliability between users. ANKUTRIAGE will enable a more standardized and practical triage, especially in crowded pediatric emergency departments and in situations where triage is performed by health professionals with different experience and professions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".