流行病学调查自动化ragp - line的实施和验证:绩效分析和意大利卫生监测系统的适用性。

Q3 Medicine

Recenti progressi in medicina Pub Date : 2025-10-01 DOI:10.1701/4573.45799

Giuseppe Vella, Francesca Sala, Vincenzo Pisciotta, Concetta Anzalone

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引用次数: 0

摘要

我们实现了一个用于自动化流行病学调查的三阶段人工智能管道：结构化PDF数据提取、rag驱动的报告生成和最终文档组装。专家验证（n=200）在完整性（4.7）、准确性（4.5）、相关性（4.6）、清晰度（4.8）和及时性（4.4）方面获得高分，评分者间κ=0.85，减少了60%的时间。该系统可扩展以服务于其他监控系统。

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Implementazione e validazione di una pipeline RAG-based per l’automazione delle indagini epidemiologiche: analisi di performance e applicabilità nel contesto dei sistemi di sorveglianza sanitaria italiana.

We implemented a three-phase AI pipeline for automating epidemiological investigations: structured PDF data extraction, RAG-driven report generation, and final document assembly. Expert validation (n=200) yielded high scores for completeness (4.7), accuracy (4.5), relevance (4.6), clarity (4.8), and timeliness (4.4), with inter-rater κ=0.85 and a 60% time reduction. The system is scalable to serve other surveillance systems.

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来源期刊

Recenti progressi in medicina Medicine-Medicine (all)

CiteScore

0.90

自引率

0.00%

发文量

143

期刊介绍： Giunta ormai al sessantesimo anno, Recenti Progressi in Medicina continua a costituire un sicuro punto di riferimento ed uno strumento di lavoro fondamentale per l"ampliamento dell"orizzonte culturale del medico italiano. Recenti Progressi in Medicina è una rivista di medicina interna. Ciò significa il recupero di un"ottica globale e integrata, idonea ad evitare sia i particolarismi della informazione specialistica sia la frammentazione di quella generalista.