Capacity Planning in Economic Grid Markets

Author(s):  
Marcel Risch ◽  
Jörn Altmann
Keyword(s):  
Author(s):  
Luiz A. Pepplow ◽  
Paulo V Trautman ◽  
Roberto C. Betini

1998 ◽  
Author(s):  
G. O'Reilly ◽  
L. Fossett ◽  
D. Lee ◽  
L. Resende
Keyword(s):  

Author(s):  
Sue Anne Bell ◽  
Lydia Krienke ◽  
Kathryn Quanstrom

Abstract Alternate care sites across the US were widely underutilized during the COVID-19 outbreak, while the volume and severity of COVID-19 cases overwhelmed health systems across the United States. The challenges presented by the pandemic have shown the need to design surge capacity principles with consideration for demand that strains multiple response capabilities. We reviewed current policy and previous literature from past ACS as well as highlight challenges from the COVID-19 pandemic, to make recommendations that can inform future surge capacity planning. Our recommendations include: 1) Preparedness actions need to be continuous and flexible; 2) Staffing needs must be met as they arise with solutions that are specific to the pandemic; 3) Health equity must be a focus of ACS establishment and planning; and 4) ACS should be designed to function without compromising safe and effective care. A critical opportunity exists to identify improvements for future use of ACS in pandemics.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
James T. H. Teo ◽  
Vlad Dinu ◽  
William Bernal ◽  
Phil Davidson ◽  
Vitaliy Oliynyk ◽  
...  

AbstractAnalyses of search engine and social media feeds have been attempted for infectious disease outbreaks, but have been found to be susceptible to artefactual distortions from health scares or keyword spamming in social media or the public internet. We describe an approach using real-time aggregation of keywords and phrases of freetext from real-time clinician-generated documentation in electronic health records to produce a customisable real-time viral pneumonia signal providing up to 4 days warning for secondary care capacity planning. This low-cost approach is open-source, is locally customisable, is not dependent on any specific electronic health record system and can provide an ensemble of signals if deployed at multiple organisational scales.


1980 ◽  
Vol 9 (4) ◽  
pp. 11-25
Author(s):  
Mark J. Yader
Keyword(s):  

2015 ◽  
Vol 3 (3) ◽  
pp. 290-303 ◽  
Author(s):  
David Candeia ◽  
Ricardo Araujo Santos ◽  
Raquel Lopes
Keyword(s):  

2021 ◽  
Vol 27 (8) ◽  
pp. 1-10
Author(s):  
Rodney P Jones

The World War II baby boom, coupled with increasing life expectancy, will lead to increasing numbers of deaths for the next 40 years. The last year of life represents a large proportion (55%) of lifetime hospital bed occupancy. This is called the nearness to death effect. However, the nearness to death effect has not been factored into NHS capacity planning, which largely relies on age-based forecasting, often called the ageing population. In certain locations, deaths are predicted to rise far more rapidly than the national average of 1% per annual growth. These locations are highly susceptible to capacity pressures emanating from the nearness to death effect, which is not compatible with recent policies that aim to build smaller hospitals. This article is the first of a two-part series discussing these trends in deaths and bed demand, as well as the likely impact on NHS capacity and the implications for the NHS funding formula.


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