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Quantifying the Quality of Corrective Actions in Medical Safety Incident Reports Using a Hybrid Rule-Based and Large-Language-Model Classification System: A Cross-Sectional Pilot Feasibility Analysis of 11,507 Japanese National Reports (2010, Interim)

2026-08-06

Abstract excerpt

<h4>Background</h4> Whether corrective actions documented in medical safety incident reports rely on individual vigilance (“Safety-I”) or on structural, system-level intervention (“Safety-II”) has not been quantitatively evaluated on a national scale in Japan. We developed an automated classification pipeline to assign corrective-action free-text to a 7-level maturity scale (L0–L6) and computed two summary indice...

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Literature Corpus work
ef65d93e-0079-5cd7-aeb6-2f69218f9e1f
DOI
10.64898/2026.08.04.26359750
Open publication

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Quantifying the Quality of Corrective Actions in Medical Safety Incident Reports Using a Hybrid Rule-Based and Large-Language-Model Classification System: A Cross-Sectional Pilot Feasibility Analysis of 11,507 Japanese National Reports (2010, Interim)DOI 10.64898/2026.08.04.26359750
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