Automated HIV Screening on Dutch Electronic Health Records with Large Language Models

Lang Zhou; Amrish Jhingoer; Yinghao Luo; Klaske Vliegenthart-Jongbloed; Carlijn Jordans; Ben Werkhoven; Tom Seinen; Erik van Mulligen; Casper Rokx; Yunlei Li

Automated HIV Screening on Dutch Electronic Health Records with Large Language Models

Lang Zhou
, Amrish Jhingoer
, Yinghao Luo
, Klaske Vliegenthart-Jongbloed
, Carlijn Jordans
, Ben Werkhoven
, Tom Seinen
, Erik van Mulligen
, Casper Rokx
, Yunlei Li

Erasmus University Rotterdam

Research output: Contribution to conference › Paper › Academic

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Abstract

Efficient screening and early diagnosis of HIV are critical for reducing transmission. This study proposes a pipeline leveraging a large language model to analyze Dutch electronic health records and determine eligibility for HIV testing, achieving high accuracy with low false negative rates.

Original language	English
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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Automated HIV Screening on Dutch EHR with Large Language ModelsFinal published version, 1.28 MBLicence: Article 25fa Dutch Copyright Act

Cite this

@conference{57021ca558d74890a0d643a6a0d97973,

title = "Automated HIV Screening on Dutch Electronic Health Records with Large Language Models",

abstract = "Efficient screening and early diagnosis of HIV are critical for reducing transmission. This study proposes a pipeline leveraging a large language model to analyze Dutch electronic health records and determine eligibility for HIV testing, achieving high accuracy with low false negative rates.",

author = "Lang Zhou and Amrish Jhingoer and Yinghao Luo and Klaske Vliegenthart-Jongbloed and Carlijn Jordans and Ben Werkhoven and Tom Seinen and \{van Mulligen\}, Erik and Casper Rokx and Yunlei Li",

year = "2025",

language = "English",

}

TY - CONF

T1 - Automated HIV Screening on Dutch Electronic Health Records with Large Language Models

AU - Zhou, Lang

AU - Jhingoer, Amrish

AU - Luo, Yinghao

AU - Vliegenthart-Jongbloed, Klaske

AU - Jordans, Carlijn

AU - Werkhoven, Ben

AU - Seinen, Tom

AU - van Mulligen, Erik

AU - Rokx, Casper

AU - Li, Yunlei

PY - 2025

Y1 - 2025

N2 - Efficient screening and early diagnosis of HIV are critical for reducing transmission. This study proposes a pipeline leveraging a large language model to analyze Dutch electronic health records and determine eligibility for HIV testing, achieving high accuracy with low false negative rates.

AB - Efficient screening and early diagnosis of HIV are critical for reducing transmission. This study proposes a pipeline leveraging a large language model to analyze Dutch electronic health records and determine eligibility for HIV testing, achieving high accuracy with low false negative rates.

M3 - Paper

ER -

Automated HIV Screening on Dutch Electronic Health Records with Large Language Models

Abstract

UN SDGs

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