Level of knowledge and affecting factors regarding isolation precautions of emergency health workers: a cross-sectional multicenter study [0.03%]
急诊科医务人员隔离措施知识水平及其影响因素调查研究
Pelin Çelik,Mukadder Mollaoğlu,Şimşek Çelik et al.
Pelin Çelik et al.
Kolb learning styles in Tactical Combat Casualty Care (TCCC): a comparative study of military learners and civilian paramedics [0.03%]
战术战伤救护(TCCC)中柯伯学习风格的比较研究——以军用学员和民用急救人员为例
Ertuğ Günsoy,Fatma Selman,Ahmet Aykut et al.
Ertuğ Günsoy et al.
Effectiveness and safety of emergency department-based streaming interventions for low-acuity utilizers - systematic review and meta-analysis [0.03%]
基于急诊科的分流干预措施的有效性和安全性——系统评价和荟萃分析
Felix Holzinger,Konrad Schmidt,David Legg et al.
Felix Holzinger et al.
Background: Emergency department (ED) crowding is a global challenge, presumably aggravated by low-acuity utilization. Various patient streaming interventions have been implemented in EDs to reduce potentially unnecessary...
Patterns and determinants of medication use by paramedics in German prehospital emergency care: a six-year multicenter analysis [0.03%]
德国院前急救中救护人员的用药模式及影响因素：一项六年期多中心分析研究
Christian Hohenstein,Steffen Wolfgang Nix
Christian Hohenstein
Psychological care in acute and emergency medicine: a scoping review of support interventions by healthcare professionals [0.03%]
急性及急诊医疗中的心理护理：医护人员支持性干预措施的纲要综述
Johanna Rutetzki,Jessica Breuing,Käthe Goossen et al.
Johanna Rutetzki et al.
Ascertaining cause-specific emergency department demand using forecast combinations [0.03%]
利用预测组合确定急诊科特定原因的需求量
Peihong Guo,Wen Ye Loh,Kenwin Maung et al.
Peihong Guo et al.
Voices from the quake zone: a qualitative analysis of Singapore nurses' deployment experience in a WHO-Type-1 fixed emergency medical team [0.03%]
震区的声音：新加坡护士在世界卫生组织一级固定应急医疗队中的部署经历的质性分析
Farzana Shariq Mujtaba,Biwei Cai,Nurhafizah Binte Mohamed Alifi et al.
Farzana Shariq Mujtaba et al.
James M Burgert,Dor Vadas,Carl J Heneghan et al.
James M Burgert et al.
Development and validation of a bedside prognostic model for in-hospital mortality in acute diquat poisoning [0.03%]
急性双呱中毒住院死亡风险预测模型的建立及验证
Ye Zhang,Xian Chen,Min Zhao et al.
Ye Zhang et al.
Predicting emergency department disposition using machine learning and large language models to support proactive capacity management: a multicenter retrospective study [0.03%]
利用机器学习和大型语言模型预测急诊科处置以支持前瞻性容量管理：一项多中心回顾性研究
Farzad Zeinali,Kevin Taaffe,Chris Gaafary et al.
Farzad Zeinali et al.