Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
J Am Med Inform Assoc. 2022 Oct 7;29(11):1972-1975. doi: 10.1093/jamia/ocac150.
To identify common medication route-related causes of clinical decision support (CDS) malfunctions and best practices for avoiding them.
Case series of medication route-related CDS malfunctions from diverse healthcare provider organizations.
Nine cases were identified and described, including both false-positive and false-negative alert scenarios. A common cause was the inclusion of nonsystemically available medication routes in value sets (eg, eye drops, ear drops, or topical preparations) when only systemically available routes were appropriate.
These value set errors are common, occur across healthcare provider organizations and electronic health record (EHR) systems, affect many different types of medications, and can impact the accuracy of CDS interventions. New knowledge management tools and processes for auditing existing value sets and supporting the creation of new value sets can mitigate many of these issues. Furthermore, value set issues can adversely affect other aspects of the EHR, such as quality reporting and population health management.
Value set issues related to medication routes are widespread and can lead to CDS malfunctions. Organizations should make appropriate investments in knowledge management tools and strategies, such as those outlined in our recommendations.
确定临床决策支持(CDS)功能障碍中常见的与用药途径相关的药物原因,以及避免这些原因的最佳实践。
对来自不同医疗机构的与用药途径相关的 CDS 功能障碍的案例进行了系列分析。
共确定并描述了 9 个案例,包括假阳性和假阴性警报场景。一个常见的原因是在设定值时包含非全身可用的药物途径(例如,眼药水、滴耳液或局部制剂),而实际上只应考虑全身可用的途径。
这些值集错误很常见,存在于医疗机构和电子病历(EHR)系统中,影响许多不同类型的药物,并且可能会影响 CDS 干预措施的准确性。新的知识管理工具和审核现有值集以及支持创建新值集的流程,可以缓解许多此类问题。此外,值集问题会对 EHR 的其他方面产生不利影响,例如质量报告和人群健康管理。
与用药途径相关的药物值集问题广泛存在,可能导致 CDS 功能障碍。各组织应在知识管理工具和策略方面进行适当的投资,如我们的建议中所概述的那样。