Conditional Value at Risk as a Measure for Waiting Time in Simulations of Hospital Units

Dehlendorff, ChristianInformatics 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 (författare)

Upprättat; 2010; 20150610 (andbra)
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

Kulahci, MuratInformatics and Mathematical Modelling, Section for Statistics, Lyngby, Technical University of Denmark(Swepub:ltu)murkul (författare)
Merser, SörenFrederiksberg University Hospital, Clinic of Orthopaedic Surgery (författare)
Andersen, Klaus Kaae AaeTechnical University of Denmark, Lyngby (författare)
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 DenmarkInformatics and Mathematical Modelling, Section for Statistics, Lyngby, Technical University of Denmark (creator_code:org_t)

Ingår i:Quality Technology & Quantitative Management: Informa UK Limited7:3, s. 321-3361684-37031811-4857

Av författaren/redakt...: Dehlendorff, Chr ...; Kulahci, Murat; Merser, Sören; Andersen, Klaus ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Maskinteknik; och Tillförlitlighet ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.