Ekstrom Heidi L, Kharbanda Elyse O, Ballard Dustin W, Vinson David R, Vazquez-Benitez Gabriela, Chettipally Uli K, Dehmer Steven P, Kunisetty Gopikrishna, Sharma Rashmi, Rauchwerger Adina S, O'Connor Patrick J, Kharbanda Anupam B
HealthPartners Institute, Minneapolis, Minnesota, US.
The Permanente Medical Group, Oakland, California, US.
EGEMS (Wash DC). 2019 Apr 12;7(1):15. doi: 10.5334/egems.282.
Appendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Health Care Systems Research Network (HCSRN).
To describe the development and implementation of a clinical decision support tool (Appy CDS) built independently but synergistically at two large HCSRN affiliated health systems using well-established platforms, and to assess the tool's Triage component, aiming to identify pediatric patients at increased risk for appendicitis.
Despite differences by site in design and implementation, such as the use of alerts, incorporating gestalt, and other workflow variations across sites, using simple screening questions and automated exclusions, both systems were able to identify a population with similar appendicitis rates (11.8 percent and 10.6 percent), where use of the full Appy CDS would be indicated.
These 2 HCSRN sites designed Appy CDS to capture a population at risk for appendicitis and deliver CDS to that population while remaining locally relevant and adhering to organizational preferences. Despite different approaches to point-of-care CDS, the sites have identified similar cohorts with nearly identical background rates of appendicitis.
The full Appy CDS tool, providing personalized risk assessment and tailored recommendations, is undergoing evaluation as part of a pragmatic cluster randomized trial aiming to reduce reliance on advanced diagnostic imaging. The novel approaches to CDS we present could serve as the basis for future ED interventions.
阑尾炎是儿童常见的外科急症,但诊断可能具有挑战性。一个名为“阿皮临床决策支持系统(Appy CDS)”的基于电子健康记录(EHR)的临床决策支持(CDS)系统,旨在帮助指导医疗保健系统研究网络(HCSRN)内患有急性腹痛的儿科患者的管理。
描述一个临床决策支持工具(Appy CDS)的开发与实施情况,该工具在两个大型HCSRN附属医疗系统中利用成熟平台独立但协同构建,并评估该工具的分诊组件,旨在识别阑尾炎风险增加的儿科患者。
尽管各站点在设计和实施方面存在差异,如使用警报、纳入整体情况以及各站点的其他工作流程差异,通过使用简单的筛查问题和自动排除,两个系统都能够识别出阑尾炎发病率相似的人群(分别为11.8%和10.6%),在这些人群中应使用完整的Appy CDS。
这两个HCSRN站点设计了Appy CDS,以识别有阑尾炎风险的人群,并为该人群提供临床决策支持,同时保持与当地的相关性并遵循组织偏好。尽管在床边临床决策支持方面采用了不同方法,但各站点已识别出阑尾炎背景发病率几乎相同的相似队列。
完整的Appy CDS工具,提供个性化风险评估和量身定制的建议,正在作为一项务实的整群随机试验的一部分进行评估,旨在减少对先进诊断成像的依赖。我们展示的临床决策支持新方法可作为未来急诊科干预措施的基础。