Lookup NU author(s): Dr Nigel Thomas
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.
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.
Author(s): Chen X, Ding J, Thomas N
Publication type: Article
Publication status: Published
Journal: Chinese Journal of Electronics
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
Altmetrics provided by Altmetric