↓ Skip to main content

Forecasting Demand of Emergency Care

Overview of attention for article published in Health Care Management Science, November 2002
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 391)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
1 patent

Readers on

mendeley
118 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Forecasting Demand of Emergency Care
Published in
Health Care Management Science, November 2002
DOI 10.1023/a:1020390425029
Pubmed ID
Authors
Abstract

This paper describes a model that can forecast the daily number of occupied beds due to emergency admissions in an acute hospital. Out of sample forecasts 32 day days in advance. have an RMS error of 3% of the mean number of beds used for emergency admissions. We find that the number of occupied beds due to emergency admissions is related to both air temperature and PHLS data on influenza like illnesses. We find that a period of high volatility, indicated by GARCH errors, will result in an increase in waiting times in the A&E Department. Furthermore. volatility gives more warning of waiting times in A&E than total bed occupancy.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 3%
Italy 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Student > Master 21 18%
Researcher 20 17%
Student > Doctoral Student 6 5%
Other 5 4%
Other 19 16%
Unknown 24 20%
Readers by discipline
Readers by discipline Count As %
Engineering 23 19%
Business, Management and Accounting 19 16%
Medicine and Dentistry 19 16%
Economics, Econometrics and Finance 8 7%
Computer Science 5 4%
Other 16 14%
Unknown 28 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2019.
All research outputs
#3,837,121
of 31,513,782 outputs
Outputs from Health Care Management Science
#39
of 391 outputs
Outputs of similar age
#6,828
of 68,278 outputs
Outputs of similar age from Health Care Management Science
#1
of 2 outputs
Altmetric has tracked 31,513,782 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 391 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 68,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them