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InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm
Carl A Starvaggi1,2,3, Sophie Affentranger1,4, Noelie Lengeler1,5
1Division of Pediatric Emergency Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, Bern, Switzerland.
Mayo Clinic Proceedings. Digital Health
|June 26, 2025
Summary
The InfoKids+ pediatric risk stratification algorithm showed poor agreement with nurse-based triage, leading to significant over-referrals. Rigorous validation is crucial before deploying such electronic risk stratification algorithms.
Area of Science:
- Pediatric Emergency Medicine
- Health Informatics
- Clinical Decision Support Systems
Background:
- Pediatric emergency departments (PEDs) face challenges in efficiently and accurately stratifying patient acuity.
- Electronic risk stratification algorithms (eRSAs) offer potential solutions but require thorough validation.
- The InfoKids+ eRSA was developed based on the InfoKids parental guidance application.
Purpose of the Study:
- To prospectively validate the performance of the InfoKids+ pediatric acuity electronic risk stratification algorithm (eRSA).
- To compare the InfoKids+ eRSA's triage accuracy against a standard nurse-based triage system (nbTS).
Main Methods:
- A prospective validation study was conducted in a Swiss university hospital's PED.
- 1990 participants' acuity levels were assessed using InfoKids+ and compared to nbTS.
- Primary outcomes included level of agreement and rate of alignment between the two triage methods.
Main Results:
- InfoKids+ demonstrated slight agreement with the nbTS (κlw=0.08).
- Significant discrepancies were observed in triage urgency: InfoKids+ classified 89% as urgent vs. 41% by nbTS (P<.001).
- Alignment with the reference standard occurred in only 45% of cases, with 50% over-referrals and 5% under-referrals.
Conclusions:
- The InfoKids+ eRSA exhibited notable discrepancies when compared to conventional nurse-based triage.
- The findings underscore the necessity for rigorous validation of eRSAs for accuracy and patient safety.
- Ensuring the safety and efficacy of algorithmic triage tools is critical to prevent harm and optimize resource allocation.
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