Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Dynamically accepting and scheduling patients for home healthcare

Tools
- Tools
+ Tools

Demirbilek, Mustafa, Branke, Jürgen and Strauss, Arne (2019) Dynamically accepting and scheduling patients for home healthcare. Health Care Management Science, 22 (1). pp. 140-155. doi:10.1007/s10729-017-9428-0

[img]
Preview
PDF
WRAP-dynamically-accepting-scheduling-patients-Branke-2018.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (2296Kb) | Preview
[img] PDF
WRAP-dynamically-accepting-scheduling-patients-home-healthcare-Branke-2017.pdf - Accepted Version
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (537Kb)
Official URL: https://doi.org/10.1007/s10729-017-9428-0

Request Changes to record.

Abstract

The importance of home healthcare is growing rapidly since populations of developed and even developing countries are getting older and the number of hospitals, retirement homes, and medical staff do not increase at the same rate. We consider the Home Healthcare Nurse Scheduling Problem where patients arrive dynamically over time and acceptance and appointment time decisions have to be made as soon as patients arrive. The objective is to maximise the average number of daily visits for a single nurse. For the sake of service continuity, patients have to be visited at the same day and time each week during their episode of care. We propose a new heuristic based on generating several scenarios which include randomly generated and actual requests in the schedule, scheduling new customers with a simple but fast heuristic, and analysing results to decide whether to accept the new patient and at which appointment day/time. We compare our approach with two greedy heuristics from the literature, and empirically demonstrate that it achieves significantly better results compared to these other two methods.

Item Type: Journal Article
Subjects: R Medicine > RA Public aspects of medicine
R Medicine > RT Nursing
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Home care services , Home nursing , Visiting nurses, Home care services--Simulation methods , Health services administration, Medical appointments and schedules, Critically ill--Home care, Care of the sick
Journal or Publication Title: Health Care Management Science
Publisher: Springer
ISSN: 1386-9620
Official Date: March 2019
Dates:
DateEvent
March 2019Published
5 January 2018Available
1 December 2017Accepted
Volume: 22
Number: 1
Page Range: pp. 140-155
DOI: 10.1007/s10729-017-9428-0
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us