B-262 Push, Chat, Loop Me In: Evaluating the Performance of a Tiered Closed-Loop Critical Result Notification System

IF 8.3 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Erika Vargas, Kyana Garza, Ming Jin, Abraham Qavi, Haik Mkhikian
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引用次数: 0

Abstract

Background Timely communication of critical laboratory results is essential for patient safety and regulatory compliance. Although traditional phone-call based notification workflows are common, they can be labor intensive for laboratory staff and prone to delays related to paging, call back, and provider availability. Closed-loop notification systems can modernize these workflows through automated push alerts and secure messaging, reducing communication barriers while maintaining timely acknowledgement of critical results. At our institution, a closed-loop notification system using automated push alerts was implemented to replace traditional phone-call based reporting as the primary communication method. One year later, the escalation pathway was further enhanced by incorporating secure chat messaging as a secondary step for unacknowledged push alerts, with phone-call notification reserved only for results not acknowledged electronically. Here, we evaluate the performance of our closed-loop notification system to effectively communicate critical results while improving workflow efficiency and reliability. Methods All chemistry critical values occurring in inpatient and emergency department (ED) settings from November 2024-January 2026 at UC Irvine Medical Center were analyzed retrospectively. Three notification pathways were evaluated, each with an expected turnaround time (TAT) =30 min: (1) verbal phone communication, (2) automated push notification with follow-up phone call if no response within 15 minutes, and (3) tiered closed-loop system including automated push notification followed by secure chat message if no response after 15 minutes, and phone call if no response after 20 minutes. Notification TAT was defined as the interval from result verification to clinician acknowledgement. Critical value data were extracted monthly from Epic Beaker using a customized report. Median TAT, 95th percentile TAT, and electronic acknowledgement patterns were calculated using Microsoft Excel. Results Historically, all critical results at our institution were communicated exclusively via telephone. Prior to November 2024, the median TAT for chemistry results was consistently 2 minutes; however, the percentage of critical values communicated within 30 minutes ranged from 94 to 96%. Following implementation of a closed-loop system, approximately 80% of inpatient and ED chemistry critical results qualified for an automatic push alert. During the initial implementation period from November to December 2024, less than 50% of push notifications were acknowledged by clinicians, requiring phone calls for the remaining critical results, likely reflecting limited provider and lab staff familiarity with the new notification workflow. Over time, push notification acknowledgement rates improved, reaching a peak of 70%, with a reduction in median TAT from 6 minutes to 2 minutes. Overall, approximately 96% of critical chemistry results were acknowledged within 30 minutes. With the introduction of secure chat in December 2025, several improvements were noted, including an increase in the electronic acknowledgement rate to 81%. The median TAT was 3 min and 92% of chemistry critical values were acknowledged within 30 minutes, which is comparable performance to the previous closed-loop system. Conclusion A closed-loop notification system integrating automated push alerts with and without secure chat escalation maintained timely communication of critical results. Electronic escalation pathways may allow institutions to preserve communication performance while decreasing manual notification burden and improving process reliability.
B-262推送、聊天、循环参与:评估一个分层闭环关键结果通知系统的性能
及时沟通关键的实验室结果对患者安全和遵守法规至关重要。尽管传统的基于电话呼叫的通知工作流很常见,但它们对于实验室工作人员来说可能是劳动密集型的,并且容易出现与寻呼、回呼和提供者可用性相关的延迟。闭环通知系统可以通过自动推送警报和安全消息传递使这些工作流现代化,减少通信障碍,同时保持对关键结果的及时确认。在我们的机构,一个使用自动推送警报的闭环通知系统被实施,以取代传统的基于电话的报告作为主要的沟通方式。一年后,通过将安全聊天消息作为未确认的推送警报的第二步骤,升级途径得到了进一步增强,电话通知仅保留给未以电子方式确认的结果。在这里,我们评估闭环通知系统的性能,以有效地沟通关键结果,同时提高工作流程的效率和可靠性。方法回顾性分析加州大学欧文分校医学中心2024年11月至2026年1月住院和急诊科(ED)发生的所有化学临界值。评估了三种通知途径,每种途径的预期周转时间(TAT) =30分钟:(1)口头电话沟通,(2)自动推送通知,如果在15分钟内没有回应,则后续电话通知,以及(3)分层闭环系统,包括自动推送通知和安全聊天消息,如果在15分钟后没有回应,20分钟后没有回应,则电话通知。通知TAT定义为从结果验证到临床医生确认的时间间隔。使用自定义报告每月从Epic Beaker提取临界值数据。TAT中位数、第95百分位TAT和电子确认模式使用Microsoft Excel计算。以往,我们机构的所有关键结果都是通过电话沟通的。在2024年11月之前,化学结果的中位数TAT始终为2分钟;然而,在30分钟内沟通的关键价值百分比从94%到96%不等。在实施闭环系统后,大约80%的住院和急诊科化学关键结果符合自动推送警报的要求。在2024年11月至12月的初始实施期间,只有不到50%的推送通知得到了临床医生的确认,其余的关键结果需要电话通知,这可能反映了提供商和实验室工作人员对新的通知工作流程的熟悉程度有限。随着时间的推移,推送通知的确认率提高了,达到了70%的峰值,中间TAT从6分钟减少到2分钟。总的来说,大约96%的关键化学结果在30分钟内被确认。随着在2025年12月引入安全聊天,我们注意到一些改进,包括将电子确认率提高到81%。中位TAT为3分钟,92%的化学临界值在30分钟内被确认,这与之前的闭环系统的性能相当。闭环通知系统集成了有或没有安全聊天升级的自动推送警报,保持了关键结果的及时沟通。电子升级途径可能允许机构在减少人工通知负担和提高流程可靠性的同时保持通信性能。
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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