Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Activity Theory based Ontology Model for efficient Knowledge Sharing in eHealth
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier. Blekinge institute of Technology.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
2017 (Engelska)Ingår i: E-Health Telecommunication Systems and Networks, ISSN 2167-9517, E-ISSN 2167-9525, Vol. 6, s. 31-45Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Knowledge sharing has become an important issue that challenges the efficient healthcare delivery in eHealth system. It also rises as one of the mostdemanding applications with reference to dynamic interactivities among various healthcare actors (e.g. doctors, nurses, patients, relatives of patients). Inthis paper, we suggest an activity theory based ontology model to represent various healthcare actors. The goal of the suggested model is to enhance inte-ractivities among these healthcare actors for conducting more efficient knowledge sharing, which helps to design eHealth system. To validate the feasibilityof suggested ontology model, three typical use cases are further studied. A questionnaire based survey is carried out and the corresponding survey resultsare reported, together with the detailed discussions.

Ort, förlag, år, upplaga, sidor
Scientific Research Publishing, 2017. Vol. 6, s. 31-45
Nyckelord [en]
eHealth, Knowledge Sharing, Activity Theory, Ontology Model
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-15582DOI: 10.4236/etsn.2017.62003OAI: oai:DiVA.org:bth-15582DiVA, id: diva2:1161239
Anmärkning

open access

Tillgänglig från: 2017-11-29 Skapad: 2017-11-29 Senast uppdaterad: 2019-09-27Bibliografiskt granskad
Ingår i avhandling
1. Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
Öppna denna publikation i ny flik eller fönster >>Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
2019 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Karlskrona: Blekinge Tekniska Högskola, 2019
Serie
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 11
Nyckelord
Knowledge sharing, eHealth, Activity Theory, Ontology, Decision making, Appointment scheduling
Nationell ämneskategori
Datavetenskap (datalogi) Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:bth-18707 (URN)978-91-7295-383-3 (ISBN)
Disputation
2019-11-14, J1640, Campus Gräsvik, Karlskrona, 13:30 (Engelska)
Opponent
Handledare
Tillgänglig från: 2019-09-27 Skapad: 2019-09-27 Senast uppdaterad: 2019-11-18Bibliografiskt granskad

Open Access i DiVA

fulltext(1225 kB)228 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 1225 kBChecksumma SHA-512
d86c37c094de95dfadfd5153f4d8691caddca627f0d3c61b5b19c31d7c54b8faecf05b20765dd29537dd80da61d4db7605e78001c6c30bb4bf80cf18a51e2c64
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltext

Personposter BETA

Bai, GuohuaEriksén, Sara

Sök vidare i DiVA

Av författaren/redaktören
Guo, YangBai, GuohuaEriksén, Sara
Av organisationen
Institutionen för kreativa teknologier
I samma tidskrift
E-Health Telecommunication Systems and Networks
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 228 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 462 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf