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利用两个商业电子健康记录系统中的现有决策支持基础设施减轻警报负担面临的挑战:经验教训与前进方向。

Challenges to Reduce Alert Burden Using Current Decision Support Infrastructure in Two Commercial EHR Systems: Lessons Learned and Path Forward.

作者信息

Colicchio Tiago K, ElHalta David, Fiol Guilherme Del, Kawamoto Kensaku, Strasberg Howard R, Cimino James J

机构信息

Department of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, Alabama, United States.

Department of Pharmacy Services, University of Utah, Salt Lake City, Utah, United States.

出版信息

Appl Clin Inform. 2025 May;16(3):575-582. doi: 10.1055/a-2546-5954. Epub 2025 Feb 28.

Abstract

Despite the proven usefulness of appropriate clinical decision support (CDS) alerts, many CDS systems fire excessive, clinically irrelevant alerts that are often ignored by clinicians. We have developed a method to suppress false-positive alerts based on prior drug tolerance but encountered substantial barriers to integrating the method into widely adopted commercial electronic health record (EHR) systems.This study aimed to describe the challenges faced while attempting to integrate our method into the CDS infrastructure of two commercial EHR systems and provide recommendations for future research and CDS design.Using a multifaceted approach, we investigated (1) the use of emergent CDS standards (e.g., CDS Hooks) to create a scalable solution to augment off-the-shelf EHR-based alerts with patient-specific custom alerts, (2) customize CDS rules of commercial medication knowledge bases (MKBs) to reduce false-positive alerts, and (3) manually inactivate allergy documentation in patients with prior drug tolerance.We were unable to implement the standards-based approach because support for CDS Hooks was found to be tailored to specific scenarios that involve the creation of new drug allergy alerts (DAAs) but not the suppression of vendor-supplied DAAs. Likewise, we were unable to suppress alerts imported from MKBs into the EHR systems investigated because these systems do not support discrete clinical documentation changes that drive DAAs. Lastly, we determined that although manually inactivating allergy documentation in patients with prior drug tolerance is possible, doing so requires the impractical solution of creating and maintaining individual rules for each drug at the ingredient level.We describe the barriers that precluded implementation of a novel method to suppress clinically irrelevant CDS alerts in two commercial EHR systems. Overcoming these barriers will require a more flexible CDS infrastructure, as well as collaboration and shared responsibility across diverse stakeholders.

摘要

尽管适当的临床决策支持(CDS)警报已被证明有用,但许多CDS系统会触发过多与临床无关的警报,而临床医生往往会忽略这些警报。我们开发了一种基于先前药物耐受性来抑制误报警报的方法,但在将该方法集成到广泛采用的商业电子健康记录(EHR)系统中时遇到了重大障碍。本研究旨在描述在尝试将我们的方法集成到两个商业EHR系统的CDS基础设施中时所面临的挑战,并为未来的研究和CDS设计提供建议。通过多方面的方法,我们研究了:(1)使用新兴的CDS标准(如CDS Hooks)来创建一个可扩展的解决方案,以用患者特定的自定义警报增强基于现成EHR的警报;(2)定制商业药物知识库(MKB)的CDS规则以减少误报警报;(3)手动停用有先前药物耐受性患者的过敏记录。我们无法实施基于标准的方法,因为发现对CDS Hooks的支持是针对涉及创建新药物过敏警报(DAA)的特定场景,而不是抑制供应商提供的DAA。同样,我们无法抑制从MKB导入到所研究的EHR系统中的警报,因为这些系统不支持驱动DAA的离散临床记录更改。最后,我们确定,虽然手动停用有先前药物耐受性患者的过敏记录是可行的,但这样做需要在成分层面为每种药物创建和维护单独规则这种不切实际的解决方案。我们描述了在两个商业EHR系统中阻碍实施一种抑制与临床无关的CDS警报的新方法的障碍。克服这些障碍将需要更灵活的CDS基础设施,以及不同利益相关者之间的协作和共同责任。

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