Padilla Cesar R, Carvalho Brendan, Oakeson Ann M, Riley Edward T, Abir Gillian
Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, USA.
Clinical Informatics, Lucile Packard Children's Hospital Stanford, Palo Alto, USA.
Cureus. 2025 May 24;17(5):e84740. doi: 10.7759/cureus.84740. eCollection 2025 May.
Maternal morbidity and mortality are increasing in the United States of America (USA), and automated early-warning surveillance systems have been suggested as a strategy to detect and reduce maternal morbidity and mortality. We report the development and implementation of a Maternal Early Warning System (MEWS) and automated alert notification platform into the electronic medical record (EMR) at the level IV obstetric unit at Lucille Packard Children's Hospital Stanford (Palo Alto, California, USA). This has been named E-MEWS. The development of the E-MEWS triggers and alert system occurred in three phases, each phase incorporating changes following analysis of interim audits. Here, we demonstrate the logistics involved in implementing MEWS into an EMR, including potential modifications required for operational functionality. The impact on maternal morbidity and mortality was not measured in this study.
在美国，孕产妇发病率和死亡率呈上升趋势，有人建议采用自动早期预警监测系统作为检测和降低孕产妇发病率和死亡率的一种策略。我们报告了在斯坦福大学露西尔·帕卡德儿童医院（美国加利福尼亚州帕洛阿尔托）四级产科病房将孕产妇早期预警系统（MEWS）和自动警报通知平台开发并实施到电子病历（EMR）中的情况。这一系统被命名为E-MEWS。E-MEWS触发和警报系统的开发分三个阶段进行，每个阶段都根据中期审计分析进行了更改。在此，我们展示了将MEWS实施到EMR中所涉及的后勤工作，包括操作功能所需的潜在修改。本研究未衡量其对孕产妇发病率和死亡率的影响。
