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Creating a lung ultrasound information score to measure the information content of pediatric point-of-care lung ultrasound reports.
medRxiv · · Preprint · Open access
Dinh, Vidal + 3 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
A criteria-based, regex-assignable lung ultrasound information score was implemented for pediatric point-of-care reports, scoring 415/427 ultrasounds and distinguishing report detail from severity.
- Why it matters: Reporting interfaces need a way to compare how much information ultrasound reports contain, without conflating that detail with disease severity.
- What they did: Subject matter experts built a weighted information score using regex-assignable criteria, then packaged it as Stata code and tested it on point-of-care lung ultrasounds from a single pediatric emergency department (30/November/2019–14/August/2021).
- The result: The score behaved as intended, with 220/415 (53%) scoring zero, modest correlation with Guiraud’s R, and limited dependence on report length while remaining distinct from ultrasound severity.
The findingWhy it mattersWhat they didThe result
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