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.

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.

Knowledge sharing has become an imperative and challenging issue in the E-health field for improving total quality of services. However, since the E-health subject is a multi-disciplinary and cross-organizational area, to have shared concepts, vocabulary plus a specification of its intended meaning, namely an ontology, has been an obstacle to develop e-health system. We will in this paper propose a knowledge sharing ontology on the basis of Activity Theory. We believe that Activity Theory can provide high level and rich ontology for the developers of E-health system to encompass the multi-disciplinary and cross-organizational knowledge. We validate our approach in the end by demonstrating our project IMIS (Integrated Mobile Information System for Healthcare) that uses the activity theory as ontological architecture for the construction of the whole system.

Based on some identified problems and challenges to the current healthcare system, this paper proposes architecture for developing e-health system to meet the challenges and resolve some problems. The architecture is based on a solid theoretical model of human activity, and it has properties such as sustainability, generality, and expandability. We demonstrate the properties of the architecture through an ongoing research project. We concluded that this architecture can be widely used to integrate various small scale applications of e-health systems and to resolve some current design problems such as interoperability and knowledge sharing.

Today, knowledge sharing raises as an important issue that challenges for the eHealth management system. It becomes one of the most demanding applications with references to the dynamic inter-activities among different health actors and the complex data structures involved in this application. In this paper, we suggest an activity theory based ontology model to scientifically represent various health actors in the eHealth system. The goal of the suggest model is to enhance the inter activities among these health actors for the efficient knowledge sharing purposes. We also develop a prototype software system based on the suggested ontology model. The survey results collected from the system users show the feasibility of the developed software system.

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.

In the eHealth system, the appointment scheduling is an important task for the delivery of healthcare service among different healthcare actors. The key procedure is to do the decision making on the selection of suitable appointments between the care providers and the care receivers. The appointment decisionis a sophisticated problem in terms of how to efficiently deal with various parameters of involved healthcare actors. To solve this problem, we suggest a smart system called eHealth Appointment Scheduling System (eHASS). eHASS takes into account both heterogeneous aspects and interoperability requirements of eHealth system. As such, eHASS is capable of jointly considering various appointment characterizations and decision making algorithms for conducting appointment scheduling. The paper reports the eHASS architecture as well as the related work-in-progress.

Designing the appointment scheduling is a challenging task for the development of healthcare system. The efficient solution approach can provide high-quality healthcare service between care providers (CP)s and care receivers (CR)s. In this paper, we consider the healthcare system with the heterogeneous CRs in terms of urgent and routine CRs. Our suggested model assumes that the system gives the service priority to the urgent CRs by allowing them to interrupt the ongoing routine appointments. An appointment handoff scheme is suggested for the interrupted routine appointments, and thus the routine CRs can attempt to re-establish the appointment scheduling with other available CPs. With these considerations, we study the scheduling performance of the system by using the Markov chains based modeling approach. The numerical analysis is reported and the simulation experiment is conducted to validate the numerical results.