Optimization in Healthcare Delivery Modeling: Methods and Applications

Sakine Batun () and Mehmet A. Begen ()
Additional contact information
Sakine Batun: University of Western Ontario
Mehmet A. Begen: University of Western Ontario

Chapter Chapter 4 in Handbook of Healthcare Operations Management, 2013, pp 75-119 from Springer

Abstract: Abstract Optimization methods have been applied to a wide variety of problems in healthcare ranging from operational level scheduling decisions to the design of national healthcare policies. In this chapter, we provide an overview of several practical optimization applications in the domain of healthcare operations management, including appointment scheduling, operating room scheduling, capacity planning, workforce scheduling, healthcare facility location, organ allocation and transplantation, disease screening, and vaccine design. We provide detailed examples to illustrate the use of different optimization techniques such as discrete convex analysis, stochastic programming, and approximate dynamic programming in these areas.

Keywords: Master Problem; Valid Inequality; Appointment Time; Appointment Schedule; Decision Epoch (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (3)

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:isochp:978-1-4614-5885-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9781461458852

DOI: 10.1007/978-1-4614-5885-2_4

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().