Predicting Hospital Beds Utilization For COVID-19 In Telangana, India

2021 ◽  
Author(s):  
Narayana Darapaneni ◽  
Mahita GM ◽  
Anwesh Reddy Paduri ◽  
Sateesh Kumar Talupuri ◽  
Vasundhara Konanki ◽  
...  
Keyword(s):  
Hospital Beds

Novel indicator for the assessment of hospital bed occupancy

2011 ◽  
Vol 152 (20) ◽  
pp. 797-801 ◽  
Author(s):  
Miklós Gresz
Keyword(s):  
Patient Needs ◽  
Bed Occupancy ◽  
The Past ◽  
Hospital Beds ◽  
Hospital Bed ◽  
Bed Capacity ◽  
Statistical Indicators

In the past decades the bed occupancy of hospitals in Hungary has been calculated from the average of in-patient days and the number of beds during a given period of time. This is the only measure being currently looked at when evaluating the performance of hospitals and changing their bed capacity. The author outlines how limited is the use of this indicator and what other statistical indicators may characterize the occupancy of hospital beds. Since adjustment of capacity to patient needs becomes increasingly important, it is essential to find indicator(s) that can be easily applied in practice and can assist medical personal and funders who do not work with statistics. Author recommends the use of daily bed occupancy as a base for all these statistical indicators. Orv. Hetil., 2011, 152, 797–801.

scholarly journals Predictions of FluSurge 2.0 methodology on hospital utilization during the Covid-19 outbreaks in several countries

2021 ◽  
Vol 13 ◽  
pp. 184797902110205
Author(s):  
Francisco Reyes-Santias ◽  
Isabel Barrachina-Martinez ◽  
David Vivas-Consuelo
Keyword(s):  
Total Population ◽  
Age Distribution ◽  
Scenario Planning ◽  
Hospital Utilization ◽  
Hospital Treatment ◽  
Health Security ◽  
Support Resources ◽  
Hospital Beds ◽  
The Usa ◽  
America South

Application of the Flusurge 2.0 methodology to predict the needs of conventional hospital treatment, intensive care, and respiratory support resources as a consequence of coronavirus disease (COVID-19) in several countries. Different countries of the following continents have been selected: Europe, Asia, Africa, North America, South America, and Oceania. Variables: Total population and age distribution; Number of COVID19 infections; Number of deaths from COVID19; Number of non-ICU hospital beds; Number of ICU beds; Number of ventilators. Method: The proposed possible scenario planning is based on the application of FluSurge 2.0 Software, developed by The Johns Hopkins Center for Health Security (CHS/CDC). Saturation of conventional hospitalization is expected in India, Uganda, Nepal, and Haiti; there is a forecast of saturation for ICU beds in all sample countries except Turkey. Ventilator saturation is expected in all countries of the sample except Argentina, Austria, Brazil, France, United Kingdom, Japan, South Korea, Norway, Poland, Turkey and the USA. The model shows, for a percentage greater than 50% of the countries, difficulties related to the saturation of their ICU units, and the use of ventilators.

scholarly journals Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic

2020 ◽  
Vol 8 (1) ◽  
pp. 168-179
Author(s):  
Jead M. Macalisang ◽  
Mark L. Caay ◽  
Jayrold P. Arcede ◽  
Randy L. Caga-anan
Keyword(s):  
Optimal Control ◽  
Control Theory ◽  
Medical Care ◽  
Optimal Control Theory ◽  
Comparable Result ◽  
Type Model ◽  
Hospital Beds ◽  
Transmission Reduction ◽  
Bed Capacity ◽  
The Government

AbstractBuilding on an SEIR-type model of COVID-19 where the infecteds are further divided into symptomatic and asymptomatic, a system incorporating the various possible interventions is formulated. Interventions, also referred to as controls, include transmission reduction (e.g., lockdown, social distancing, barrier gestures); testing/isolation on the exposed, symptomatic and asymptomatic compartments; and medical controls such as enhancing patients’ medical care and increasing bed capacity. By considering the government’s capacity, the best strategies for implementing the controls were obtained using optimal control theory. Results show that, if all the controls are to be used, the more able the government is, the more it should implement transmission reduction, testing, and enhancing patients’ medical care without increasing hospital beds. However, if the government finds it very difficult to implement the controls for economic reasons, the best approach is to increase the hospital beds. Moreover, among the testing/isolation controls, testing/isolation in the exposed compartment is the least needed when there is significant transmission reduction control. Surprisingly, when there is no transmission reduction control, testing/isolation in the exposed should be optimal. Testing/isolation in the exposed could seemingly replace the transmission reduction control to yield a comparable result to that when the transmission reduction control is being implemented.

Alternatives to acute hospital care

2001 ◽  
Vol 11 (4) ◽  
pp. 373-378 ◽  
Author(s):  
H Gentles ◽  
J Potter
Keyword(s):  
Older People ◽  
Acute Hospital ◽  
Intermediate Care ◽  
National Service ◽  
Acute Hospital Care ◽  
Department Of Health ◽  
Health Authorities ◽  
National Service Framework ◽  
Hospital Beds ◽  
Service Framework

The National Bed Inquiry indicated that up to 20% of older people might be inappropriately occupying acute hospital beds and could be discharged if alternative services were available. The report proposed the concept of ‘Intermediate Care’ as a scenario that might contribute to resolving issues around the use of acute hospital beds. The Department of Health (DoH) Circular to Health Authorities and Local Councils with regard to Intermediate Care and the publication of the National Service Framework for Older People have brought intermediate care into mainstream health policy.

Unblocking Hospital Beds

1992 ◽  
Vol 32 (1) ◽  
pp. 130-130
Author(s):  
R. Corcoran
Keyword(s):  
Hospital Beds

Acute versus sub-acute care beds: Should Australia invest in community beds at the expense of hospital beds?

2014 ◽  
Vol 48 (10) ◽  
pp. 952-954 ◽  
Author(s):  
Stephen Allison ◽  
Tarun Bastiampillai ◽  
Robert Goldney
Keyword(s):  
Acute Care ◽  
Hospital Beds
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