Strengthening Signal Detection by Proactive Adverse Event Case Identification in Electronic Health Records Using a Text-Mining Tool.

IF 5.9 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Gabriëlla von Kreijfelt, Juliëtte Zwaveling, Jette A van Lint, Loes E Visser, Agnes C Kant
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引用次数: 0

Abstract

Background: The spontaneous reporting system is the cornerstone of pharmacovigilance but is limited by substantial underreporting, which may delay safety signal detection.

Objective: The aim of this study was to evaluate the electronic health record-adverse event search method for identifying and reporting additional potential adverse drug reactions in electronic health records to strengthen routine signal detection.

Methods: Between August 2022 and August 2025, targeted searches for adverse drug reactions were conducted in approximately 2,750,000 electronic health records from two Dutch hospitals using a data collection text-mining tool. Search criteria were derived from information in spontaneous reports of specific drug-adverse event associations. Structured (e.g. laboratory results, medication prescriptions) and unstructured (e.g. clinical notes, hospital discharge letters) data were used to identify potential adverse drug reactions. Identified cases were manually verified and, when relevant, reported to the Netherlands Pharmacovigilance Centre Lareb and analysed alongside spontaneous reports for signal detection.

Results: A total of 147 electronic health record-derived cases were reported for 41 drug-adverse event associations. These contributed to 34 signal detection analyses, supporting the assessment of seven safety signals. In 75% of the cases, a suspected causal relationship was documented by healthcare professionals in clinical notes. Electronic health record-derived cases accounted for up to 73% of the reports included in the seven detected signals.

Conclusions: This study demonstrates that electronic health records can be used as an additional source of individual case safety reports in routine pharmacovigilance practice, supporting the further assessment of selected potential safety signals. Despite limitations related to efficiency, this proactive approach has potential to address underreporting and complement the spontaneous reporting system, strengthening signal detection.

使用文本挖掘工具在电子健康记录中通过主动不良事件案例识别加强信号检测。
背景:自发报告制度是药物警戒的基石,但由于严重漏报而受到限制,这可能会延迟安全信号的检测。目的:探讨利用电子病历不良事件检索方法识别和报告电子病历中额外的潜在药物不良反应,加强常规信号检测。方法:在2022年8月至2025年8月期间,使用数据收集文本挖掘工具对来自两家荷兰医院的约275万份电子健康记录进行药物不良反应的针对性搜索。搜索标准来源于特定药物不良事件关联的自发报告信息。结构化(如实验室结果、药物处方)和非结构化(如临床记录、出院信)数据用于确定潜在的药物不良反应。已确定的病例经人工核实,并在相关情况下向荷兰药物警戒中心Lareb报告,并与自发报告一起进行分析,以检测信号。结果:共报告147例电子健康记录衍生病例,41例药物不良事件关联。这些有助于34个信号检测分析,支持7个安全信号的评估。在75%的病例中,医疗保健专业人员在临床记录中记录了可疑的因果关系。在七个检测到的信号中包含的报告中,电子健康记录衍生病例占73%。结论:本研究表明,在常规药物警戒实践中,电子健康记录可以作为个案安全报告的额外来源,支持对选定的潜在安全信号的进一步评估。尽管存在效率方面的限制,但这种积极主动的方法有可能解决漏报问题,并补充自发报告系统,加强信号检测。
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来源期刊
Drug Safety
Drug Safety 医学-毒理学
CiteScore
7.60
自引率
7.10%
发文量
112
审稿时长
6-12 weeks
期刊介绍: Drug Safety is the official journal of the International Society of Pharmacovigilance. The journal includes: Overviews of contentious or emerging issues. Comprehensive narrative reviews that provide an authoritative source of information on epidemiology, clinical features, prevention and management of adverse effects of individual drugs and drug classes. In-depth benefit-risk assessment of adverse effect and efficacy data for a drug in a defined therapeutic area. Systematic reviews (with or without meta-analyses) that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by the PRISMA statement. Original research articles reporting the results of well-designed studies in disciplines such as pharmacoepidemiology, pharmacovigilance, pharmacology and toxicology, and pharmacogenomics. Editorials and commentaries on topical issues. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Drug Safety Drugs may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.
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