aceAutomated Calculation of the Pediatric Emergency Care Applied Research Network (PECARN) Intra-Abdominal Injury Rule from Unstructured Emergency Department Notes Using a Large Language Model
Objective: The Pediatric Emergency Care Applied Research Network (PECARN) intra-abdominal injury clinical prediction rule identifies children at very low risk for clinically significant intra-abdominal injury after blunt abdominal trauma. However, retrospective evaluation of the rule's use in practice requires resource-intensive chart review. We investigated whether large language models (LLMs) can automatically calculate PECARN intra-abdominal injury risk scores from real-world unstructured emergency department…
An LLM read unstructured emergency notes and produced PECARN intra-abdominal injury risk scores closely matching clinician-derived scores, which could reduce the chart review needed to evaluate how the rule is used.
The analysis was retrospective, drew on only two urban pediatric emergency departments, and included just 196 children with complete notes, so it does not show how the model performs prospectively or elsewhere.
Evidence
- Peer-reviewedJACEP Open2026-10-08
How should this claim be treated?
Truvace Impact Record TRV-2026-1829, v1: “Automated Calculation of the Pediatric Emergency Care Applied Research Network (PECARN) Intra-Abdominal Injury Rule from Unstructured Emergency Department Notes Using a Large Language Model.” Truvace, 2026-10-18. /record/TRV-2026-1829 (accessed at citation time). sha256 66431d0f2c232421…
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