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 ().