Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois; Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Clin Ther. 2021 Oct;43(10):1681-1688. doi: 10.1016/j.clinthera.2021.09.009. Epub 2021 Oct 10.
This review summarizes how interventions in the electronic health record (EHR) can optimize antimicrobial stewardship across the continuum of antimicrobial decision making, from diagnosis of infection to discontinuation of therapy. In addition, opportunities to optimize provider communication and patient education are identified.
A narrative review was conducted to identify how interventions in the EHR can influence antimicrobial prescribing behavior. Examples from pediatrics were specifically identified. Interventions were then categorized into high-impact/low-effort, high-impact/high-effort, and low-impact/low-effort groupings based on historical experience.
EHR-based interventions can be used for stratifying patients at risk for infection and are useful in identifying patients with new-onset infections. Additional tools include automatically updated antibiograms tailored to specific patient populations, timely authorization of restricted antimicrobials, and more accurate allergy labeling. Medical errors can be reduced and communication between providers can be improved by standardized data fields. Clinical decision support tools can guide appropriate selection of therapy, and visual prompts can reduce unnecessarily prolonged therapy. Benchmarking of antimicrobial use, tailored patient education, and improved communication during transitions of care are enhanced through EHR-based interventions.
Prescribing behavior can be modified through a range of interventions in the EHR, including tailored education, alerts, prompts, and restrictions on provider behavior. Further studies are needed to compare the effectiveness of various strategies.
本综述总结了如何通过电子健康记录(EHR)中的干预措施来优化抗菌药物管理,贯穿抗菌药物决策的全过程,从感染的诊断到治疗的停止。此外,还确定了优化医患沟通和患者教育的机会。
进行了叙述性综述,以确定 EHR 中的干预措施如何影响抗菌药物的处方行为。特别确定了儿科的例子。然后根据以往经验将干预措施分为高影响力/低努力、高影响力/高努力和低影响力/低努力三个组。
基于 EHR 的干预措施可用于对感染风险患者进行分层,并有助于识别新发感染患者。其他工具包括针对特定患者群体自动更新的抗生素药敏谱、及时授权限制使用的抗菌药物以及更准确的过敏标签。通过标准化数据字段可以减少医疗错误并改善医患之间的沟通。临床决策支持工具可指导选择合适的治疗方案,而视觉提示可减少不必要的延长治疗。通过基于 EHR 的干预措施可以增强抗菌药物使用的基准测试、针对患者的教育以及在医疗保健过渡期间的沟通。
可以通过 EHR 中的一系列干预措施来改变处方行为,包括有针对性的教育、警报、提示以及对提供者行为的限制。需要进一步的研究来比较各种策略的有效性。