EconPapers    
Economics at your fingertips  
 

Influence of Appointment Times on Interday Scheduling

Matthias Schacht (), Lara Wiesche, Brigitte Werners and Birgitta Weltermann ()
Additional contact information
Matthias Schacht: Ruhr University Bochum
Lara Wiesche: Ruhr University Bochum
Brigitte Werners: Ruhr University Bochum
Birgitta Weltermann: Institute for General Medicine

A chapter in Operations Research Proceedings 2015, 2017, pp 585-590 from Springer

Abstract: Abstract In primary care mainly two types of patient requests occur: walk-ins without an appointment and patients with a prescheduled appointment. The number and position of such prescheduled appointments influence waiting times for patients, capacity for treatment and the utilization of physicians. An integer linear model is developed, where the minimum number of appointments prescheduled for a weekly profile is determined. Since the number of patient requests differs significantly between seasons, weekdays and daytime, efficient appointment scheduling has to take different scenarios into account. Using an intensive monte-carlo simulation, we compare appointment strategies with respect to their performance for different scenarios.

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-42902-1_79

Ordering information: This item can be ordered from
http://www.springer.com/9783319429021

DOI: 10.1007/978-3-319-42902-1_79

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-319-42902-1_79