Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/24849
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | VANBRABANT, Lien | - |
dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | RAMAEKERS, Katrien | - |
dc.contributor.author | BRAEKERS, Kris | - |
dc.date.accessioned | 2017-09-25T12:46:53Z | - |
dc.date.available | 2017-09-25T12:46:53Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Bruzzone, Agostino; Frascio, Marco; Longo, Francesco; Novak, Vera (Ed.). Proceedings of the International Workshop on Innovative Simulation for Health Care, 2017,p. 1-10 (Art N° 1) | - |
dc.identifier.isbn | 9788897999898 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24849 | - |
dc.description.abstract | Emergency Departments (EDs) constitute an important component in a healthcare system. Recently, they are confronted with a substantial growth in demand. Combined with the ever tightening budgets, this has led to the problem of overcrowding in many EDs. Simulation has been widely used in operations management research for analysing and improving patient flow in EDs. The quality of input data is of great importance to build a realistic simulation model. In this paper, data quality problems in healthcare records of emergency departments are identified based on a case study in a Belgian university hospital. The problems are categorised and data quality assessment techniques are developed for each category. A combination of quantitative and qualitative metrics is described to estimate the potential impact of the data quality issues on simulation. | - |
dc.language.iso | en | - |
dc.subject.other | data quality problems; data quality assessment; simulation; emergency departments; electronic health records | - |
dc.title | Quality assessment of input data for emergency department simulation | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Bruzzone, Agostino | - |
local.bibliographicCitation.authors | Frascio, Marco | - |
local.bibliographicCitation.authors | Longo, Francesco | - |
local.bibliographicCitation.authors | Novak, Vera | - |
local.bibliographicCitation.conferencedate | 18-20/09/2017 | - |
local.bibliographicCitation.conferencename | The International Workshop on Innovative Simulation for Health Care 2017 | - |
local.bibliographicCitation.conferenceplace | Barcelona, Spain | - |
dc.identifier.epage | 10 | - |
dc.identifier.spage | 1 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.bibliographicCitation.artnr | 1 | - |
local.bibliographicCitation.btitle | Proceedings of the International Workshop on Innovative Simulation for Health Care, 2017 | - |
item.contributor | VANBRABANT, Lien | - |
item.contributor | MARTIN, Niels | - |
item.contributor | RAMAEKERS, Katrien | - |
item.contributor | BRAEKERS, Kris | - |
item.validation | vabb 2020 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.fullcitation | VANBRABANT, Lien; MARTIN, Niels; RAMAEKERS, Katrien & BRAEKERS, Kris (2017) Quality assessment of input data for emergency department simulation. In: Bruzzone, Agostino; Frascio, Marco; Longo, Francesco; Novak, Vera (Ed.). Proceedings of the International Workshop on Innovative Simulation for Health Care, 2017,p. 1-10 (Art N° 1). | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IWISH2017_FinalPaper_Vanbrabant_Martin_Ramaekers_braekers.pdf Restricted Access | Peer-reviewed author version | 1.41 MB | Adobe PDF | View/Open Request a copy |
Page view(s)
82
checked on Aug 4, 2022
Download(s)
24
checked on Aug 4, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.