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  • 1.
    Guo, Yang
    et al.
    Blekinge Institute of Technology, School of Computing.
    Bai, Guohua
    Blekinge Institute of Technology, School of Computing.
    Hu, Yan
    Blekinge Institute of Technology, School of Computing.
    Using Bayes Network for Prediction of Type-2 Diabetes2012Conference paper (Refereed)
    Abstract [en]

    Diabetes mellitus is a chronic disease and a major public health challenge worldwide. Using data mining methods to aid people to predict diabetes has become a popular topic. In this paper, Bayes Network was proposed to predict patients with developing Type-2 diabetes. The dataset used is the Pima Indians Diabetes Data Set, which collects the information of patients with and without developing Type-2 diabetes. Weka software was used throughout this study. Accurate results have been obtained which proves using the proposed Bayes network to predict Type-2 diabetes is effective.

  • 2. Guo, Yang
    et al.
    Hu, Yan
    Afzal, Javed
    Bai, Guohua
    Using P2P Technology to Achieve eHealth Interoperability2011Conference paper (Refereed)
    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.

  • 3.
    Hu, Yan
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Cloud Computing for Achieving Interoperability in Home-based Healthcare2017Doctoral 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.

  • 4.
    Hu, Yan
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Cloud Computing for Interoperability in Home-Based Healthcare2014Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The care of chronic disease has become a main challenge for healthcare institutions around the world. As the incidence and prevalence of chronic diseases continue to increase, traditional hospital-based healthcare is less able to meet the needs of every patient. Treating chronic disease heavily depends on the patient’s daily behaviors, so patient-centered healthcare is encouraged. To improve patients’ quality of life, moving the base of healthcare from hospital to home is imperative. Home-based chronic disease care involves many different healthcare organizations and healthcare providers. Therefore, interoperability is a key approach to provide efficient and convenient home-based healthcare services. This thesis aims to reveal the interoperability issues in the current healthcare system and to point out an appropriate technical solution to overcome them. We start with collecting perspectives from both healthcare providers and healthcare recipients through interviews and online surveys to understand the situations and problems they face. In our research study, we mainly use two current techniques―peer-to-peer (P2P) networks and cloud computing―to design prototypes for sharing healthcare data, developing both a P2P-based solution and a cloud-based solution. Comparing these two techniques, we found the cloud-based solution covered most of the deficiencies in healthcare interoperability. Although there are different types of interoperability, such as pragmatic, semantic and syntactic, we explored alternative solutions specifically for syntactic interoperability. To identify the state of the art and pinpoint the challenges and possible future directions for applying a cloud-based solution, we reviewed the literature on cloud-based eHealth solutions. We suggest that a hybrid cloud model, which contains access controls and techniques for securing data, would be a feasible solution for developing a citizen-centered, home-based healthcare system. Patients’ healthcare records in hospitals and other healthcare centers could be kept in private clouds, while patients’ daily self-management data could be published in a trusted public cloud. Patients, as the owners of their health data, should then decide who can access their data and the conditions for sharing. Finally, we propose an online virtual community for home-based chronic disease healthcare―a cloud-based, home healthcare platform. The requirements of the platform were mainly determined from the responses to an online questionnaire delivered to a target group of people. This platform integrates healthcare providers and recipients within the same platform. Through this shared platform, interoperability among different healthcare providers, as well as with healthcare recipients’ self-management regimens, could be achieved.

  • 5.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    A Cloud Model for Interoperable Home-based Chronic Diseases Healthcare2014Conference paper (Refereed)
    Abstract [en]

    Traditional hospital based care cannot meet all the needs of chronic diseases care in home, especially for elderly people. A new approach applying eHealth that supports interoperable health care is required. To find a way to meet the new needs, we firstly carried out a questionnaire to analyze current problems and needs in chronic disease care. Then we compared possible technical solutions and proposed a cloud model for the identified problems. This model would help chronic patients self-record and control their daily care data, communicate with other patients who have the similar situation. The proposed solution could be also used to integrate data from different healthcare providers for a cooperative work, namely in this paper as Home-based Chronic Diseases Healthcare (HCDH).

  • 6.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    A systematic literature review of cloud computing in eHealth2014In: Health Informatics-An International Journal (HIIJ), ISSN 2319-2046, Vol. 3, no 4, p. 11-20Article in journal (Refereed)
    Abstract [en]

    Cloud computing in eHealth is an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13); (2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications.

  • 7.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Building up a Virtual Community for Home-Based Chronic Diseases Healthcare2014In: 2014 IEEE 2nd International Workshop on Usability and Accessibility Focused Requirements Engineering, IEEE , 2014Conference paper (Refereed)
    Abstract [en]

    With the development of Internet, social networks get more and more popular, it brings us an idea of designing a virtual community for home-based chronic diseases healthcare. In this paper, we conduct a questionnaire to gather the requirements of the community and describe them with user stories. Afterwards, a conceptual prototype is developed based on the requirements. The proposed virtual community involves healthcare providers, healthcare recipients and other people relevant to the home-based healthcare into one platform. It will solve the interoperability problems of current healthcare systems, as well as provide a technical solution of home-based healthcare.

  • 8.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Eriksén, Sara
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Lundberg, Jenny
    A hybrid cloud model for diabetes home-based care: a case study for perceived future feasibilityIn: Article in journal (Refereed)
  • 9.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Lundberg, Jenny
    Linnaeus University, SWE.
    Eriksén, Sara
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    A Virtual Community Design for Home-Based Chronic Disease Healthcare2016In: Lecture Notes in Computer Science / [ed] Seyff N.,Ebert A.,Humayoun S.R.,Perini A.,Barbosa S.D.J.,Seyff N., Springer Publishing Company, 2016Conference paper (Refereed)
    Abstract [en]

    The internet based social network has been applied to serve many social functions, such as democratic decision making, knowledge sharing, educa‐ tion, and healthcare. In this paper, we provide a prototype of virtual community designed for home-based chronic diseases healthcare. We studied the concept “community” from the activity theory model in order to design the prototype with a solid theoretical base. Then we conducted a questionnaire from healthcare recipients and interviewed healthcare providers to gather the requirements for the design of the community. With some user stories we described the requirements as use cases for our design and a conceptual prototype is built based on the requirements. This virtual community servers as a shared platform for all the stakeholders who are engaged in the healthcare activity. With this shared community platform, the interoperability problems of current healthcare systems can be moderated

  • 10.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Eriksén, Sara
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Lundberg, Jenny
    Future Directions of Applying Healthcare Cloud for Home-based Chronic Disease Care2017Conference paper (Refereed)
    Abstract [en]

    The care of chronic disease has become the main challenge for healthcare institutions around the world. To meet the growing needs of patients, moving the front desk of healthcare from hospital to home is essential. Recently, cloud computing has been applied to healthcare domain; however, adapting to and using this technology effectively for home-based care is still in its initial phase. We have proposed a conceptual hybrid cloud model for home-based chronic disease care, and have evaluated its future feasibility by a case study of diabetes care in Blekinge, Sweden. In this paper, we discuss some possible future opportunities and challenges to apply this cloud model with the huge population for home-based chronic diseases care. To apply this model in practice, a professional IT healthcare education team is needed for both healthcare providers and healthcare recipients. For home-based healthcare, a monitoring system with an automatic alarm to healthcare providers is also necessary in some cases. Also, how to record and integrate excises data through wearable devices in a cloud should be considered. Given the high demand, sharing medical images through the cloud should be another research focus.

  • 11.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, School of Computing.
    Lu, Fangjie
    Khan, Israr
    Bai, Guohua
    Blekinge Institute of Technology, School of Computing.
    A Cloud Computing Solution for Sharing Healthcare Information2012Conference paper (Refereed)
    Abstract [en]

    In recent years, sharing healthcare information becomes one of essential requirements of e-health development. To cover this gap, different solutions are presented through different technologies. In this paper, we proposed a cloud computing solution for sharing healthcare information based on Google App Engine (GAE). With the experiment test results, we achieve interoperability among different healthcare centers and between healthcare providers and receivers with high stability and availability.

  • 12.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Peng, Cong
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Sharing Health Data Through Hybrid Cloud For Self-Management2015In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), IEEE, 2015Conference paper (Refereed)
    Abstract [en]

    Nowadays, patient self-management is encouraged in home-based healthcare, especially for chronic disease care. Sharing health information could improve the quality of patient self-management. In this paper, we introduce cloud computing as a potential technology to provide a more sustainable long-term solution compared with other technologies. A hybrid cloud is identified as a suitable way to enable patients to share health information for promoting the treatment of chronic diseases. And then a prototype on the case of type 2 diabetes is implemented to prove the feasibility of the proposed solution.

  • 13.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Sundstedt, Veronica
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Exploring Biometrics as an Evaluation Technique for Digital Game Addiction Prevention2018In: Journal of Behavioral Addictions, ISSN 2062-5871, E-ISSN 2063-5303, Vol. 7, p. 15-15Article in journal (Other academic)
1 - 13 of 13
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