Toggle Main Menu Toggle Search

Open Access padlockePrints

Dynamic Scheduling Policy for Patient Flow in a Smart Environment

Lookup NU author(s): Dr Nigel Thomas

Downloads


Licence

This is the authors' accepted manuscript of an article that has been published in its final definitive form by Chinese Institute of Electronics, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

Given the popularity of smart environment in a hospital involving the participation of a large group of patients, scheduling of patients towards their desired destination is still being a challenging issue. With the development of Internet of Things (IoT), smart environments are increasingly being deployed in various public scenarios and in particular, hospitals are an important target environment for smart environments. This paper models a dynamic scheduling policy based on a patient flow scenario in order to solve the queuing issue and facilitate people’s experience. The dynamic scheduling policy aims to forward incoming patients to dissolve jams especially at the peaks by giving accurate predication of appointment time. The main modelling technique is a formal method — Performance evaluation process algebra (PEPA). The findings show that the dynamic scheduling policy is able to efficiently improve the patient flow.


Publication metadata

Author(s): Chen X, Ding J, Thomas N

Publication type: Article

Publication status: Published

Journal: Chinese Journal of Electronics

Year: 2017

Volume: 26

Issue: 3

Pages: 530-536

Print publication date: 01/05/2017

Online publication date: 01/05/2017

Acceptance date: 15/01/2016

Date deposited: 14/06/2017

ISSN (print): 1022-4653

ISSN (electronic): 2075-5597

Publisher: Chinese Institute of Electronics

URL: http://doi.org/10.1049/cje.2017.01.003

DOI: 10.1049/cje.2017.01.003


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share