Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Conditional Value at Risk as a Measure for Waiting Time in Simulations of Hospital Units
Informatics and Mathematical Modelling, Section for Statistics, Lyngby, Technical University of Denmark, Department of DTU Informatics, DTU Data Analysis, Technical University of Denmark, Technical University of Denmark.
Informatics and Mathematical Modelling, Section for Statistics, Lyngby, Technical University of Denmark.ORCID iD: 0000-0003-4222-9631
Frederiksberg University Hospital, Clinic of Orthopaedic Surgery.
Technical University of Denmark, Lyngby.
2010 (English)In: Quality Technology & Quantitative Management, ISSN 1684-3703, E-ISSN 1811-4857, Vol. 7, no 3, p. 321-336Article in journal (Refereed) Published
Abstract [en]

The utility of conditional value at risk (CVaR) of a sample of waiting times as a measure for reducing long waiting times is evaluated with special focus on patient waiting times in a hospital. CVaR is the average of the longest waiting times, i.e., a measure at the tail of the waiting time distribution. The presented results are based on a discrete event simulation (DES) model of an orthopedic surgical unit at a university hospital in Denmark. Our analysis shows that CVaR offers a highly reliable performance measure. The measure targets the longest waiting times and these are generally accepted to be the most problematic from the points of view of both the patients and the management. Moreover, CVaR can be seen as a compromise between the well known measures: average waiting time and the maximum waiting time

Place, publisher, year, edition, pages
2010. Vol. 7, no 3, p. 321-336
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-8967Local ID: 78613bca-2210-4a74-a470-eb9a1ec58c40OAI: oai:DiVA.org:ltu-8967DiVA, id: diva2:981905
Note
Upprättat; 2010; 20150610 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Kulahci, Murat

Search in DiVA

By author/editor
Kulahci, Murat
In the same journal
Quality Technology & Quantitative Management
Reliability and Maintenance

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 68 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf