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An IOT Architecture For Home-based Elderly Healthcare
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
2014 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
DEStech Publications , 2014.
Nyckelord [en]
IOT, elderly healthcare, healthcare model
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-6349ISI: 000351057000046ISBN: 978-1-60595-174-4 (tryckt)OAI: oai:DiVA.org:bth-6349DiVA, id: diva2:833846
Konferens
International Congress On Management and Engineering(CME), Shanghai
Anmärkning

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

Tillgänglig från: 2015-05-26 Skapad: 2014-09-03 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

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Guo, YangBai, Guohua

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