Demand forecasting of medical device with online big data)

Shuojiang Xu; Hing Kai Chan

doi:10.1049/cp.2018.1725

Demand forecasting of medical device with online big data)

Shuojiang Xu^*
, Hing Kai Chan

^*Corresponding author for this work

Department of Entrepreneurship, Marketing and Management Systems

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

With the development of economy and the improvement of people's living standards, healthcare has been paid more and more attention. The medical device industry is an indispensable part of the healthcare industry. When people get sick, they might use the Internet to consult about their illness. As a result, online data can be a good indication of how people feel about the healthcare industry. Therefore, we are building a demand forecasting approach for medical device with the help of search engine index to improve efficiency of healthcare supply chain. We first conduct a literature review about healthcare supply chain, the application of search engine index on demand forecasting approach. And then, we analysis the role of online data in healthcare industry. Finally, we build a demand forecasting approach of medical device with the help of online big data. We contribute to the knowledge by investigating the role of online data in improving the efficiency of healthcare industry. We will also figure out how to use online data to assist the operation of healthcare supply chain.

Original language	English
Title of host publication	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018
Publisher	Institution of Engineering and Technology
Edition	CP754
ISBN (Print)	9781785617911, 9781839530838
DOIs	https://doi.org/10.1049/cp.2018.1725
Publication status	Published - 2018
Event	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018 - Ningbo, China Duration: 4 Nov 2018 → …

Publication series

Name	IET Conference Publications
Number	CP754
Volume	2018

Conference

Conference	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018
Country/Territory	China
City	Ningbo
Period	4/11/18 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Free Keywords

BIG DATA
FORECASTING
MEDICAL DEVICE
TIME SERIES

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2018.1725

Cite this

@inproceedings{5755045060084408ba584703985880ac,

title = "Demand forecasting of medical device with online big data)",

abstract = "With the development of economy and the improvement of people's living standards, healthcare has been paid more and more attention. The medical device industry is an indispensable part of the healthcare industry. When people get sick, they might use the Internet to consult about their illness. As a result, online data can be a good indication of how people feel about the healthcare industry. Therefore, we are building a demand forecasting approach for medical device with the help of search engine index to improve efficiency of healthcare supply chain. We first conduct a literature review about healthcare supply chain, the application of search engine index on demand forecasting approach. And then, we analysis the role of online data in healthcare industry. Finally, we build a demand forecasting approach of medical device with the help of online big data. We contribute to the knowledge by investigating the role of online data in improving the efficiency of healthcare industry. We will also figure out how to use online data to assist the operation of healthcare supply chain.",

keywords = "BIG DATA, FORECASTING, MEDICAL DEVICE, TIME SERIES",

author = "Shuojiang Xu and Chan, \{Hing Kai\}",

note = "Publisher Copyright: {\textcopyright} 2018 Institution of Engineering and Technology. All rights reserved.; IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018 ; Conference date: 04-11-2018",

year = "2018",

doi = "10.1049/cp.2018.1725",

language = "English",

isbn = "9781785617911",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

number = "CP754",

booktitle = "IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018",

address = "United Kingdom",

edition = "CP754",

}

Xu, S & Chan, HK 2018, Demand forecasting of medical device with online big data). in IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018. CP754 edn, IET Conference Publications, no. CP754, vol. 2018, Institution of Engineering and Technology, IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018, Ningbo, China, 4/11/18. https://doi.org/10.1049/cp.2018.1725

Demand forecasting of medical device with online big data). / Xu, Shuojiang; Chan, Hing Kai.
IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018. CP754. ed. Institution of Engineering and Technology, 2018. (IET Conference Publications; Vol. 2018, No. CP754).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Demand forecasting of medical device with online big data)

AU - Xu, Shuojiang

AU - Chan, Hing Kai

PY - 2018

Y1 - 2018

N2 - With the development of economy and the improvement of people's living standards, healthcare has been paid more and more attention. The medical device industry is an indispensable part of the healthcare industry. When people get sick, they might use the Internet to consult about their illness. As a result, online data can be a good indication of how people feel about the healthcare industry. Therefore, we are building a demand forecasting approach for medical device with the help of search engine index to improve efficiency of healthcare supply chain. We first conduct a literature review about healthcare supply chain, the application of search engine index on demand forecasting approach. And then, we analysis the role of online data in healthcare industry. Finally, we build a demand forecasting approach of medical device with the help of online big data. We contribute to the knowledge by investigating the role of online data in improving the efficiency of healthcare industry. We will also figure out how to use online data to assist the operation of healthcare supply chain.

AB - With the development of economy and the improvement of people's living standards, healthcare has been paid more and more attention. The medical device industry is an indispensable part of the healthcare industry. When people get sick, they might use the Internet to consult about their illness. As a result, online data can be a good indication of how people feel about the healthcare industry. Therefore, we are building a demand forecasting approach for medical device with the help of search engine index to improve efficiency of healthcare supply chain. We first conduct a literature review about healthcare supply chain, the application of search engine index on demand forecasting approach. And then, we analysis the role of online data in healthcare industry. Finally, we build a demand forecasting approach of medical device with the help of online big data. We contribute to the knowledge by investigating the role of online data in improving the efficiency of healthcare industry. We will also figure out how to use online data to assist the operation of healthcare supply chain.

KW - BIG DATA

KW - FORECASTING

KW - MEDICAL DEVICE

KW - TIME SERIES

UR - https://www.scopus.com/pages/publications/85070499792

U2 - 10.1049/cp.2018.1725

DO - 10.1049/cp.2018.1725

M3 - Conference contribution

AN - SCOPUS:85070499792

SN - 9781785617911

SN - 9781839530838

T3 - IET Conference Publications

BT - IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

PB - Institution of Engineering and Technology

T2 - IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

Y2 - 4 November 2018

ER -

Demand forecasting of medical device with online big data)

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this