Nevada jury awards wrongly discharged patients in settlement

2018 ◽  
Vol 28 (43) ◽  
pp. 4-5
Author(s):  
Valerie A. Canady
2003 ◽  
Author(s):  
Edie Greene ◽  
Brian H. Bornstein
Keyword(s):  

2020 ◽  
Author(s):  
Zulvikar Syambani Ulhaq ◽  
Gita Vita Soraya ◽  
Fitri Arkham Fauziah
Keyword(s):  

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Vikram Rao ◽  
Subrat Kumar Bhattamisra

Background: COVID-19, a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2) was first diagnosed in the patients from Wuhan, China in December 2019. Within couple of months of infection, it was declared as pandemic by World health organization. COVID-19 has become the most contagious infection with a serious threat to global health. In this review, we aimed to discuss the pathogenesis, diagnostics, current treatments and potential vaccines for COVID-19. Methods: An extensive literature search was conducted using keywords “COVID-19”; “Coronavirus”; “SARS-Cov-2”; “SARS” in public domains of Google, Google scholar, PubMed, and ScienceDirect. Selected articles were used to construct this review. Results: SARS-Cov-2 uses the Spike (S) protein on its surface to recognize the receptor on angiotensin-converting enzyme 2 (ACE2) and bind with 10-folds greater affinity than SARS-Cov-1. Molecular assays and immunoassays are the most frequently used tests whereas computed tomography (CT) scans, Artificial intelligence enabled diagnostic tools were also used in patients. In therapeutic treatment, few drugs were repurposed and there are 23 therapeutic molecules including the repurposed drugs are in different stages of clinical trial. Similarly, development of vaccines is also in the pipeline. Few countries have managed well to contain the spread by rapid testing and identifying the clusters. Conclusion: Till now, the acute complications and mortality of COVID-19 has been linked to the pre-existing comorbid conditions or age. Besides the development of therapeutic strategies that includes drugs and vaccine, the long term implication of COVID-19 infection in terms of the disorder/disability in the cured/discharged patients is a new area to investigate.


2020 ◽  
Vol 7 ◽  
Author(s):  
Xi-Min Qiao ◽  
Xiao-Feng Xu ◽  
Hao Zi ◽  
Guo-Xiong Liu ◽  
Bing-Hui Li ◽  
...  

2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  

Prolonged waiting times are associated with worse patient experience in patients discharged from the emergency department (ED). However, it is unclear which component of the waiting times is most impactful to the patient experience and the impact on hospitalized patients. We performed a retrospective analysis of ED patients between July 2018 and March 30, 2020. In all, 3278 patients were included: 1477 patients were discharged from the ED, and 1680 were admitted. Discharged patients had a longer door-to-first provider and door-to-doctor time, but a shorter doctor-to-disposition, disposition-to-departure, and total ED time when compared to admitted patients. Some, but not all, components of waiting times were significantly higher in patients with suboptimal experience (<100th percentile). Prolonged door-to-doctor time was significantly associated with worse patient experience in discharged patients and in patients with hospital length of stay ≤4 days. Prolonged ED waiting times were significantly associated with worse patient experience in patients who were discharged from the ED and in inpatients with short length of stay. Door-to-doctor time seems to have the highest impact on the patient’s experience of these 2 groups.


Author(s):  
Dong Liu ◽  
Sacha Epskamp ◽  
Adela-Maria Isvoranu ◽  
Caixia Chen ◽  
Wenjun Liu ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathanael Lapidus ◽  
Xianlong Zhou ◽  
Fabrice Carrat ◽  
Bruno Riou ◽  
Yan Zhao ◽  
...  

Abstract Background The average length of stay (LOS) in the intensive care unit (ICU_ALOS) is a helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus, estimating early a reliable ICU_ALOS estimate of infected patients is critical to accurately parameterize models examining mitigation and preparedness scenarios. Methods Two estimation methods of ICU_ALOS were compared: the average LOS of already discharged patients at the date of estimation (DPE), and a standard parametric method used for analyzing time-to-event data which fits a given distribution to observed data and includes the censored stays of patients still treated in the ICU at the date of estimation (CPE). Methods were compared on a series of all COVID-19 consecutive cases (n = 59) admitted in an ICU devoted to such patients. At the last follow-up date, 99 days after the first admission, all patients but one had been discharged. A simulation study investigated the generalizability of the methods' patterns. CPE and DPE estimates were also compared to COVID-19 estimates reported to date. Results LOS ≥ 30 days concerned 14 out of the 59 patients (24%), including 8 of the 21 deaths observed. Two months after the first admission, 38 (64%) patients had been discharged, with corresponding DPE and CPE estimates of ICU_ALOS (95% CI) at 13.0 days (10.4–15.6) and 23.1 days (18.1–29.7), respectively. Series' true ICU_ALOS was greater than 21 days, well above reported estimates to date. Conclusions Discharges of short stays are more likely observed earlier during the course of an outbreak. Cautious unbiased ICU_ALOS estimates suggest parameterizing a higher burden of ICU bed occupancy than that adopted to date in COVID-19 forecasting models. Funding Support by the National Natural Science Foundation of China (81900097 to Dr. Zhou) and the Emergency Response Project of Hubei Science and Technology Department (2020FCA023 to Pr. Zhao).


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