从数据孤岛到用于药物警戒的标准化、关联化和可 FAIR 化数据：观察性医疗保健数据的当前进展与挑战 - Suppr

From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data.

作者信息

Koutkias Vassilis

机构信息

Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th Km. Charilaou-Thermi Road, Thermi, P.O. Box 60631, 57001, Thessaloniki, Greece.

出版信息

Drug Saf. 2019 May;42(5):583-586. doi: 10.1007/s40264-018-00793-z.

DOI:10.1007/s40264-018-00793-z

PMID:30666591

Abstract

摘要

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From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data.从数据孤岛到用于药物警戒的标准化、关联化和可 FAIR 化数据：观察性医疗保健数据的当前进展与挑战

Drug Saf. 2019 May;42(5):583-586. doi: 10.1007/s40264-018-00793-z.

Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records.迈向药物安全监测与药物警戒：从电子健康记录中检测用药及药物不良事件的当前进展

Drug Saf. 2019 Jan;42(1):95-97. doi: 10.1007/s40264-018-0766-8.

Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance.基于受控词汇的药物不良反应信号词典的开发，用于多中心电子病历为基础的药物警戒。

Drug Saf. 2019 May;42(5):657-670. doi: 10.1007/s40264-018-0767-7.

[Pharmacovigilance in Germany : It is about time].[德国的药物警戒：时机已到]

Internist (Berl). 2016 Jun;57(6):616-23. doi: 10.1007/s00108-016-0068-0.

Pharmacogenovigilance: a pharmacogenomics pharmacovigilance program.药物基因组学药物警戒：一项药物基因组学药物警戒计划。

Pharmacogenomics. 2014 Apr;15(6):845-56. doi: 10.2217/pgs.14.44.

CPCSSN's role in improving pharmacovigilance.中国药品不良反应监测网络在改善药物警戒方面的作用。

Can Fam Physician. 2014 Jul;60(7):678-80.

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.基于电子健康记录的药物警戒中的自然语言处理：系统综述。

Drug Saf. 2017 Nov;40(11):1075-1089. doi: 10.1007/s40264-017-0558-6.

Pharmacovigilance in Russia: current state of affairs, challenges, and prospects.俄罗斯的药物警戒：现状、挑战与前景

Curr Med Res Opin. 2017 Dec;33(12):2161-2166. doi: 10.1080/03007995.2017.1336082. Epub 2017 Jun 25.

Adverse Drug Event Reporting Rates After the Implementation of an EHR Integrated Reporting System.电子健康记录集成报告系统实施后的药品不良事件报告率

Stud Health Technol Inform. 2019 Aug 21;264:1652-1653. doi: 10.3233/SHTI190580.

Using real-world healthcare data for pharmacovigilance signal detection - the experience of the EU-ADR project.利用真实世界医疗保健数据进行药物警戒信号检测——欧盟药物不良反应（EU-ADR）项目的经验

Expert Rev Clin Pharmacol. 2015 Jan;8(1):95-102. doi: 10.1586/17512433.2015.992878.

引用本文的文献

Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?观点综述：生成式人工智能会使通用数据模型在分布式数据网络的未来分析中过时吗？

Ther Adv Drug Saf. 2025 Apr 21;16:20420986251332743. doi: 10.1177/20420986251332743. eCollection 2025.

Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data.利用大规模行政索赔数据通过关联规则挖掘进行药物不良反应信号的早期检测。

Drug Saf. 2023 Apr;46(4):371-389. doi: 10.1007/s40264-023-01278-4. Epub 2023 Feb 24.

Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches.药物安全性的计算进展：基于知识工程方法的系统综述与图谱综述

Front Pharmacol. 2019 May 17;10:415. doi: 10.3389/fphar.2019.00415. eCollection 2019.

本文引用的文献

Drug Saf. 2019 May;42(5):657-670. doi: 10.1007/s40264-018-0767-7.

Deconstructing the Pharmacovigilance Hype Cycle.解构药物警戒炒作周期

Clin Ther. 2018 Dec;40(12):1981-1990.e3. doi: 10.1016/j.clinthera.2018.10.021.

Effect of vocabulary mapping for conditions on phenotype cohorts.条件词汇映射对表型队列的影响。

J Am Med Inform Assoc. 2018 Dec 1;25(12):1618-1625. doi: 10.1093/jamia/ocy124.

MIRACUM: Medical Informatics in Research and Care in University Medicine.MIRACUM：大学医学研究与医疗中的医学信息学

Methods Inf Med. 2018 Jul;57(S 01):e82-e91. doi: 10.3414/ME17-02-0025. Epub 2018 Jul 17.

: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies.通过FAIR原则和语义网技术推进药物警戒信号的信息搜索、共享和重用。

Front Pharmacol. 2018 Jun 26;9:609. doi: 10.3389/fphar.2018.00609. eCollection 2018.

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.利用观察性医疗保健数据生成和评估患者水平预测模型的标准化框架的设计与实现。

J Am Med Inform Assoc. 2018 Aug 1;25(8):969-975. doi: 10.1093/jamia/ocy032.

The hope, hype and reality of Big Data for pharmacovigilance.大数据用于药物警戒的希望、炒作与现实。

Ther Adv Drug Saf. 2018 Jan;9(1):5-11. doi: 10.1177/2042098617736422. Epub 2017 Oct 31.

If these data could talk.如果这些数据会说话。

Sci Data. 2017 Sep 5;4:170114. doi: 10.1038/sdata.2017.114.

From Big Data to Smart Data for Pharmacovigilance: The Role of Healthcare Databases and Other Emerging Sources.从大数据到药物警戒的智能数据：医疗数据库和其他新兴来源的作用。

Drug Saf. 2018 Feb;41(2):143-149. doi: 10.1007/s40264-017-0592-4.

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.与治疗证据标准化相关的大规模不良反应（LAERTES）：一个将药物警戒证据来源与临床数据相链接的开放式可扩展系统。

J Biomed Semantics. 2017 Mar 7;8(1):11. doi: 10.1186/s13326-017-0115-3.

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From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data.

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