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Covid-19: Utilising an automated medication inventory management system for emergency crash carts during the COVID-19 pandemic
Author(s) -
Jonathan H. Sin,
Laurie M Ferguson,
Juanita S Ally,
Iain Richards
Publication year - 2022
Publication title -
future healthcare journal
Language(s) - English
Resource type - Journals
eISSN - 2514-6653
pISSN - 2514-6645
DOI - 10.7861/fhj.2020-0163
Subject(s) - medical emergency , pharmacy , pandemic , emergency department , crash , medicine , health care , emergency medicine , covid-19 , computer science , nursing , disease , pathology , infectious disease (medical specialty) , economics , programming language , economic growth
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.

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