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http://hdl.handle.net/1942/17112
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DC Field | Value | Language |
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dc.contributor.author | BERGS, Jochen | - |
dc.contributor.author | Heerinckx, Philippe | - |
dc.contributor.author | Verelst, Sandra | - |
dc.date.accessioned | 2014-09-03T12:36:51Z | - |
dc.date.available | 2014-09-03T12:36:51Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | International emergency nursing, 22 (2), p. 112-115 | - |
dc.identifier.issn | 1878-013X | - |
dc.identifier.uri | http://hdl.handle.net/1942/17112 | - |
dc.description.abstract | Objective To evaluate an automatic forecasting algorithm in order to predict the number of monthly emergency department (ED) visits one year ahead. Methods We collected retrospective data of the number of monthly visiting patients for a 6-year period (2005–2011) from 4 Belgian Hospitals. We used an automated exponential smoothing approach to predict monthly visits during the year 2011 based on the first 5 years of the dataset. Several in- and post-sample forecasting accuracy measures were calculated. Results The automatic forecasting algorithm was able to predict monthly visits with a mean absolute percentage error ranging from 2.64% to 4.8%, indicating an accurate prediction. The mean absolute scaled error ranged from 0.53 to 0.68 indicating that, on average, the forecast was better compared with in-sample one-step forecast from the naïve method. Conclusion The applied automated exponential smoothing approach provided useful predictions of the number of monthly visits a year in advance. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.rights | 2013 Elsevier Ltd. All rights reserved. | - |
dc.subject.other | Emergency service | - |
dc.subject.other | Hospital | - |
dc.subject.other | Forecasting | - |
dc.subject.other | Management | - |
dc.subject.other | Emergency nursing | - |
dc.subject.other | Organisation and administration | - |
dc.subject.other | Time-Series analysis | - |
dc.title | Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 115 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 112 | - |
dc.identifier.volume | 22 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Reprint Address: Bergs, J (reprint author)Hasselt Univ, Agoralaan Bldg D,Room 54, B-3590 Diepenbeek, Belgium.E-mail Addresses: Jochen.bergs@uhasselt.be | - |
local.publisher.place | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.ienj.2013.08.001 | - |
dc.identifier.pmid | 24055373 | - |
dc.identifier.isi | 000334438600009 | - |
dc.identifier.eissn | 1878-013X | - |
local.provider.type | PubMed | - |
local.uhasselt.international | no | - |
item.validation | ecoom 2015 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.fullcitation | BERGS, Jochen; Heerinckx, Philippe & Verelst, Sandra (2014) Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis. In: International emergency nursing, 22 (2), p. 112-115. | - |
item.contributor | BERGS, Jochen | - |
item.contributor | Heerinckx, Philippe | - |
item.contributor | Verelst, Sandra | - |
crisitem.journal.issn | 1755-599X | - |
crisitem.journal.eissn | 1878-013X | - |
Appears in Collections: | Research publications |
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1-s2.0-S1755599X13000669-main.pdf Restricted Access | 273.12 kB | Adobe PDF | View/Open Request a copy |
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