医疗急救
药店
大流行
急诊科
撞车
医学
医疗保健
急诊医学
2019年冠状病毒病(COVID-19)
计算机科学
护理部
疾病
程序设计语言
传染病(医学专业)
经济增长
病理
经济
作者
Jonathan H. Sin,Laurie M Ferguson,Juanita S Ally,Iain Richards
出处
期刊:Future healthcare journal
[Royal College of Physicians]
日期:2022-01-19
卷期号:9 (1): 87-89
被引量:5
标识
DOI:10.7861/fhj.2020-0163
摘要
The high acuity of patients with COVID-19 during the pandemic in the city of New York correlated with an increased incidence of cardiac arrests and other emergent resuscitation scenarios requiring life-sustaining treatment. A spike in the utilisation of emergency crash cart medications was to be expected. The department of pharmacy at SUNY Downstate Health Sciences University optimised the use of an automated medication inventory management system with radio-frequency identification to assess usage and turnover of emergency crash carts; improve efficiency and turnaround times for crash cart dispatches; track drug consumption; and manage ongoing medication shortages during the peak of the COVID-19 pandemic. By capitalising on the utility and functionality of technology and automation, the institution was able to keep pace with acute patient care demands to prevent gaps in pharmaceutical care and medication management during emergency responses.
科研通智能强力驱动
Strongly Powered by AbleSci AI