2020
DOI: 10.7249/pea228-1
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Planning Hospital Needs for Ventilators and Respiratory Therapists in the COVID-19 Crisis

Abstract: Ideally, no one would have to wait for access to a life-saving device, such as a ventilator. But during the coronavirus disease 2019 (COVID-19) crisis, many hospitals have run short of ventilators-as well as respiratory therapists (RTs) who are trained to operate them-while other facilities scramble to prepare for the coming demand surge. Any patient who needs a ventilator might not be able to get one, imperiling their survival. Mathematically, the delay that a patient may experience depends on the number of v… Show more

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Cited by 6 publications
(3 citation statements)
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“…The shortage that is caused by COVID-19 patients to the number of available ventilator machines and the respiratory therapists who operate these machines is discussed in [21]. By using the famous Erlang C queuing model [22], authors calculated the probability of a new patient waiting for a free ventilator, and the desired number of ventilators to be available to achieve a specific acceptable waiting time.…”
Section: Covid-19 and Queuing Theorymentioning
confidence: 99%
“…The shortage that is caused by COVID-19 patients to the number of available ventilator machines and the respiratory therapists who operate these machines is discussed in [21]. By using the famous Erlang C queuing model [22], authors calculated the probability of a new patient waiting for a free ventilator, and the desired number of ventilators to be available to achieve a specific acceptable waiting time.…”
Section: Covid-19 and Queuing Theorymentioning
confidence: 99%
“…The initial goal for ED management was to accommodate every possible and confirmed COVID-19 patient (or family) in a NP room from arrival to discharge or admission. [6][7][8] However, increased daily ED volume of suspected or confirmed COVID-19 cases-a rise of 86% by week 2 of the pandemic-led to a shortage of isolation rooms. This was further exacerbated by the increasing frequency of boarding by admitted ED patients awaiting inpatient bed availability in ward isolation rooms and units.…”
Section: Initial Challengesmentioning
confidence: 99%
“…Model-based predictions can serve as a valuable tool for health authorities and policy makers to construct an informed response to the pandemic [4]. Many models have now been developed, offering a wide range of predictions which include hospital beds, intensive care unit (ICU) capacity, ventilators, physician and other staff needs, and PPE consumption [21][22][23]. The input variables differ among the various models and include factors such as local hospital admission rates, case severity, clinical care pathways, population age distribution, asymptomatic transmission rate, and unreported death rates [21,24,25].…”
Section: Introductionmentioning
confidence: 99%