Patient choice analysis and demand prediction for a health care diagnostics company

Yue ZHANG, Liping LIANG*, Emma LIU, Chong CHEN, Derek ATKINS

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)

4 Citations (Scopus)

Abstract

This paper describes a case study for a medical diagnostic laboratory service provider to model the behavior of patients when choosing a patient service centre for their medical tests and to estimate future demand volume. A tool developed based on our methodology allows the management of the diagnostic services to experiment with locations and capacities for locating or relocating service centres. In addition to the focal firm, the methodology considers the impact of decisions on another service provider and hospital laboratories located in the same area. The methodology identifies the most significant service centre attractiveness factors. Our models are validated from different perspectives and show good predictive capability. This case study is used to draw a number of lessons for applying these types of models to other similar services in order to assist other applications.
Original languageEnglish
Pages (from-to)198-205
Number of pages8
JournalEuropean Journal of Operational Research
Volume251
Issue number1
Early online date30 Oct 2015
DOIs
Publication statusPublished - 16 May 2016

Fingerprint

Health care
Healthcare
Diagnostics
Prediction
Industry
Methodology
Demand
Patient choice
Experiments
Model
Estimate
Experiment
Service provider

Keywords

  • Demand prediction
  • Laboratory services
  • Location
  • OR in health services
  • Patient choice

Cite this

ZHANG, Yue ; LIANG, Liping ; LIU, Emma ; CHEN, Chong ; ATKINS, Derek. / Patient choice analysis and demand prediction for a health care diagnostics company. In: European Journal of Operational Research. 2016 ; Vol. 251, No. 1. pp. 198-205.
@article{4590e1e703d24f44b4bddfabd0a7775a,
title = "Patient choice analysis and demand prediction for a health care diagnostics company",
abstract = "This paper describes a case study for a medical diagnostic laboratory service provider to model the behavior of patients when choosing a patient service centre for their medical tests and to estimate future demand volume. A tool developed based on our methodology allows the management of the diagnostic services to experiment with locations and capacities for locating or relocating service centres. In addition to the focal firm, the methodology considers the impact of decisions on another service provider and hospital laboratories located in the same area. The methodology identifies the most significant service centre attractiveness factors. Our models are validated from different perspectives and show good predictive capability. This case study is used to draw a number of lessons for applying these types of models to other similar services in order to assist other applications.",
keywords = "Demand prediction, Laboratory services, Location, OR in health services, Patient choice",
author = "Yue ZHANG and Liping LIANG and Emma LIU and Chong CHEN and Derek ATKINS",
year = "2016",
month = "5",
day = "16",
doi = "10.1016/j.ejor.2015.10.055",
language = "English",
volume = "251",
pages = "198--205",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "1",

}

Patient choice analysis and demand prediction for a health care diagnostics company. / ZHANG, Yue; LIANG, Liping; LIU, Emma; CHEN, Chong; ATKINS, Derek.

In: European Journal of Operational Research, Vol. 251, No. 1, 16.05.2016, p. 198-205.

Research output: Journal PublicationsJournal Article (refereed)

TY - JOUR

T1 - Patient choice analysis and demand prediction for a health care diagnostics company

AU - ZHANG, Yue

AU - LIANG, Liping

AU - LIU, Emma

AU - CHEN, Chong

AU - ATKINS, Derek

PY - 2016/5/16

Y1 - 2016/5/16

N2 - This paper describes a case study for a medical diagnostic laboratory service provider to model the behavior of patients when choosing a patient service centre for their medical tests and to estimate future demand volume. A tool developed based on our methodology allows the management of the diagnostic services to experiment with locations and capacities for locating or relocating service centres. In addition to the focal firm, the methodology considers the impact of decisions on another service provider and hospital laboratories located in the same area. The methodology identifies the most significant service centre attractiveness factors. Our models are validated from different perspectives and show good predictive capability. This case study is used to draw a number of lessons for applying these types of models to other similar services in order to assist other applications.

AB - This paper describes a case study for a medical diagnostic laboratory service provider to model the behavior of patients when choosing a patient service centre for their medical tests and to estimate future demand volume. A tool developed based on our methodology allows the management of the diagnostic services to experiment with locations and capacities for locating or relocating service centres. In addition to the focal firm, the methodology considers the impact of decisions on another service provider and hospital laboratories located in the same area. The methodology identifies the most significant service centre attractiveness factors. Our models are validated from different perspectives and show good predictive capability. This case study is used to draw a number of lessons for applying these types of models to other similar services in order to assist other applications.

KW - Demand prediction

KW - Laboratory services

KW - Location

KW - OR in health services

KW - Patient choice

UR - http://commons.ln.edu.hk/sw_master/5078

UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955188794&doi=10.1016%2fj.ejor.2015.10.055&partnerID=40&md5=b92f88297130161506d42a48594ba4e6

U2 - 10.1016/j.ejor.2015.10.055

DO - 10.1016/j.ejor.2015.10.055

M3 - Journal Article (refereed)

VL - 251

SP - 198

EP - 205

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -