Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An IOT Architecture For Home-based Elderly Healthcare
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The problem of providing effective and appropriate healthcare to elderly and disable people home has been increasingly talked around. Information and communication technology (ICT) is believed to enable home healthcare management to mitigate some problems. This paper is to contribute IoT (Internet of things) architecture to achieve connectivity with the patient, sensors and everything around it. A four-level model including ‘personal-family-community-hospital’ is constructed in order to provide complete and intelligent health management services to elderly home, which provides sustainable healthcare service for elderly people. This new solution makes both the elderly life easier and the healthcare process more effective.

Place, publisher, year, edition, pages
DEStech Publications , 2014.
Keywords [en]
IOT, elderly healthcare, healthcare model
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-6349ISI: 000351057000046ISBN: 978-1-60595-174-4 (print)OAI: oai:DiVA.org:bth-6349DiVA, id: diva2:833846
Conference
International Congress On Management and Engineering(CME), Shanghai
Note

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MANAGEMENT AND ENGINEERING (CME 2014)

Available from: 2015-05-26 Created: 2014-09-03 Last updated: 2019-09-27Bibliographically approved
In thesis
1. Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
Open this publication in new window or tab >>Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Knowledge sharing has become an important issue in the eHealth field for improving the quality of healthcare service. However, since eHealth subject is a multidisciplinary and cross-organizational area, knowledge sharing is a serious challenge when it comes to developing eHealth systems. Thus, this thesis studies the heterogeneous knowledge sharing in eHealth and proposes a knowledge sharing ontology. The study consists of three main parts: modeling, validation and application.

In the modeling part, knowledge sharing in eHealth is studied from two main aspects: the first aspect is the heterogeneous knowledge of different healthcare actors, and the second aspect is the interactivities among various healthcare actors. In this part, the contribution is to propose an Activity Theory based Ontology (ATO) model to highlight and represent these two aspects of eHealth knowledge sharing, which is helpful for designing efficient eHealth systems.

In the validation part, a questionnaire based survey is conducted to practically validate the feasibility of the proposed ATO model. The survey results are analyzed to explore the effectiveness of the proposed model for designing efficient knowledge sharing in eHealth. Further, a web based software prototype is constructed to validate the applicability of the ATO model for practical eHealth systems. In this part, the contribution is to explore and show how the proposed ATO model can be validated.

In the application part, the importance and usefulness of applying the proposed ATO model to solve two real problems are addressed. These two problems are healthcare decision making and appointment scheduling. There is a similar basic challenge in both these problems: a healthcare provider (e.g., a doctor) needs to provide optimal healthcare service (e.g., suitable medicine or fast treatment) to a healthcare receiver (e.g., a patient). Here, the optimization of the healthcare service needs to be achieved in accordance with eHealth knowledge which is distributed in the system and needs to be shared, such as the doctor’s competence, the patient’s health status, and priority control on patients’ diseases. In this part, the contribution is to propose a smart system called eHealth Appointment Scheduling System (eHASS) based on ATO model.

This research work has been presented in eight conference and journal papers, which, along with an introductory chapter, are included in this compilation thesis.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 11
Keywords
Knowledge sharing, eHealth, Activity Theory, Ontology, Decision making, Appointment scheduling
National Category
Computer Sciences Computer and Information Sciences
Identifiers
urn:nbn:se:bth-18707 (URN)978-91-7295-383-3 (ISBN)
Public defence
2019-11-14, J1640, Campus Gräsvik, Karlskrona, 13:30 (English)
Opponent
Supervisors
Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-11-18Bibliographically approved

Open Access in DiVA

fulltext(205 kB)486 downloads
File information
File name FULLTEXT01.pdfFile size 205 kBChecksum SHA-512
7b1b5bbd863035bccb3b5617175a5d22f3f0a7e9b254ff47c293f0ca5b79a4e63b33dd95dbad7fd9ee1826156b0a70fcbf501adcd106e9aab3c2d8fc10e3fecd
Type fulltextMimetype application/pdf

Authority records BETA

Guo, YangBai, Guohua

Search in DiVA

By author/editor
Guo, YangBai, Guohua
By organisation
Department of Creative Technologies
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 486 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 2045 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf