A call to action for adverse drug event (ADE) detection and prevention.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-03-28 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1507967
John McCue, C David Butler, Raymond C Love, Shelly Spiro, Roy Guharoy
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引用次数: 0

Abstract

Injury from medication use, known as an adverse drug event (ADE) accounts for millions of emergency department visits globally and thousands of hospitalizations annually within the United States. Efforts to prevent and detect ADEs within healthcare systems are complicated by data quality, lack of data standardization, and actionable clinical decision support systems. United States Pharmacopeia (USP) proposes the use of an ADE value set, a standardized grouping of medical terms, to improve the identification, documentation, and use of ADE information in EHRs. Artificial Intelligence and Machine Learning capabilities would be further strengthened through the standardization of ADE data and information.

对药物不良事件(ADE)检测和预防的行动呼吁。
药物使用造成的伤害,被称为药物不良事件(ADE),每年在美国造成数百万急诊就诊和数千住院。在医疗保健系统中预防和检测ade的工作因数据质量、缺乏数据标准化和可操作的临床决策支持系统而变得复杂。美国药典(USP)建议使用ADE值集,即医学术语的标准化分组,以改进电子病历中ADE信息的识别、记录和使用。通过ADE数据和信息的标准化,人工智能和机器学习能力将进一步加强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
0.00%
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0
审稿时长
13 weeks
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