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Using P2P Technology to Achieve eHealth Interoperability
Responsible organisation
2011 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Abstract—eHealth is an emerging area that boosts up with advancement in Information and Communication Technology (ICT). Due to variety of eHealth solutions developed by different IT firms with no unified standards, interoperability issue has raised. In this paper, a case study in Blekinge County healthcare organizations has been conducted for understanding the contexts of eHealth interoperability issues. Then a peer-to-peer (P2P) model based on JXTA platform is implemented to solve the identified eHealth interoperability problems. According to the test result of the prototype, the suggested syntactic level interoperability among healthcare organizations has been achieved.

Place, publisher, year, edition, pages
Tian Jin, China: IEEE , 2011.
Keywords [en]
eHealth, Interoperability, Peer-to-peer, JXTA
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-7526Local ID: oai:bth.se:forskinfo25D4C55DB28F3751C12578BA0058702COAI: oai:DiVA.org:bth-7526DiVA, id: diva2:835150
Conference
8th International Conference on Service Systems and Service Management
Available from: 2012-09-18 Created: 2011-06-25 Last updated: 2021-05-21Bibliographically approved
In thesis
1. Cloud Computing for Achieving Interoperability in Home-based Healthcare
Open this publication in new window or tab >>Cloud Computing for Achieving Interoperability in Home-based Healthcare
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The care of chronic disease has become the main challenge for healthcare institutions around the world. As the incidence and prevalence of chronic diseases continue to increase, it is a big challenge for traditional hospital-based healthcare to meet requirements of patients. To meet the growing needs of patients, moving the front desk of healthcare from hospital to home is essential. Home-based healthcare for chronic disease involves many different organizations and healthcare providers. Therefore, there are interoperability problems for cooperation among the various organizations and healthcare providers to provide efficient and seamless home-based healthcare. 

This thesis aims to point out an appropriate technical solution to interoperability problems in home-based healthcare. There are different levels of interoperability, such as pragmatic, semantic and syntactic. We explored alternative solutions specifically for syntactic interoperability. We started to identify the interoperability problems among different healthcare centers by interviews and online surveys. Based on this empirical study, we mainly used two current techniques, namely peer-to-peer (P2P) networks and cloud computing, to design prototypes for sharing healthcare data. Comparing these two techniques, we found the cloud-based solution figured out most of the problems encountered in healthcare interoperability. 

To identify state of the art, and pinpoint the challenges and possible future directions for applying a cloud-based solution, a systematic literature review was carried out on cloud-based healthcare solutions. Based on the literature reviewed, we suggest a hybrid cloud model, with access controls and techniques for securing data, could be an acceptable solution for home-based healthcare in the future. This cloud model would work as a community for both healthcare providers and recipients, as well as other stakeholders, such as family members and other patients with similar symptoms. Then we conducted a questionnaire study with healthcare recipients and interviewed healthcare providers to gather the requirements for the design of the community. Based on the concept of ‘community’ from the activity theory model, we designed a prototype to demonstrate our proposed solution.   

Finally, we proposed the conceptual hybrid cloud model. In our hybrid cloud model, hospitals and primary healthcare centers could continue using their own databases as private clouds. For home-based healthcare data, we argued, the best approach is to store and process the data in public clouds. Healthcare recipients, as the owners of their health data in public clouds, should then decide who can access their data and the conditions for sharing. To evaluate this model, we conducted a two-step case study of diabetes healthcare in Blekinge, Sweden. We found that our improved hybrid cloud model will be feasible in the future for home-based healthcare, and it will benefit both healthcare providers and recipients.

To apply this model in practice, we suggest that a professional IT healthcare education team should be created to support both healthcare providers and recipients.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2017
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 5
National Category
Nursing Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-14017 (URN)978-91-7295-338-3 (ISBN)
Public defence
2017-04-28, J1650, Campus Gräsvik, Karlskrona, 13:15 (English)
Opponent
Supervisors
Available from: 2017-03-17 Created: 2017-03-17 Last updated: 2021-05-21Bibliographically approved
2. 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

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Guo, YangHu, YanBai, Guohua

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