Patient Appointment Scheduling

Joonyup Eun, Sangbok Lee, Yuehwern Yih

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


This chapter discusses patient appointment scheduling that manages the patient inflow to the healthcare delivery system while satisfying patient needs. It directly affects the operations within the healthcare system and the matrices related to patient outcomes, patient safety, accessibility and timely care. Patient appointment scheduling is complex and challenging due to the uncertainties associated with patient demands, disease progression, treatments, procedures, supporting services and other environmental factors, such as regulations, reimbursement, etc. To manage these uncertainties, simulation or stochastic modeling techniques are frequently used to tackle this class of scheduling problems. This chapter provides an overview of both techniques and demonstrates each technique in an outpatient clinic setting and in a surgery scheduling setting respectively.

Original languageEnglish
Title of host publicationStochastic Modeling and Analytics in Healthcare Delivery Systems
PublisherWorld Scientific Publishing Co.
Number of pages30
ISBN (Electronic)9789813220850
ISBN (Print)9789813220843
Publication statusPublished - 2017 Jan 1
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 by World Scientific Publishing Co. Pte. Ltd.

ASJC Scopus subject areas

  • General Medicine


Dive into the research topics of 'Patient Appointment Scheduling'. Together they form a unique fingerprint.

Cite this