Could a computer-based system including a prevalence function support emergency medical systems and improve the allocation of life support level?
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Emergency Medicine
Reference7 articles.
1. Characteristics and outcome for patients with acute chest pain in relation to whether or not they were transported by ambulance
2. Early identification of acute myocardial infarction and prognosis in relation to mode of transport to hospital
3. Outcome for patients who call for an ambulance for chest pain in relation to the dispatcher??s initial suspicion of acute myocardial infarction
4. Use of an Artificial Neural Network for the Diagnosis of Myocardial Infarction
5. Computer assisted assessment and advice for "non-serious" 999 ambulance service callers: the potential impact on ambulance despatch
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort study;Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine;2022-05-08
2. Accuracy of emergency medical services (EMS) telephone triage in identifying acute coronary syndrome (ACS) for patients with chest pain: a systematic literature review;BMJ Open;2021-08
3. Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification;Critical Pathways in Cardiology: A Journal of Evidence-Based Medicine;2020-03-11
4. Emergency medical dispatch priority in chest pain patients due to life threatening conditions: A cohort study examining circadian variations and impact of the education;International Journal of Cardiology;2017-06
5. Could prioritisation by emergency medicine dispatchers be improved by using computer-based decision support? A cohort of patients with chest pain;International Journal of Cardiology;2016-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3