IAServ: An Intelligent Home Care Web Services Platform  in a Cloud for Aging-in-Place

Su, Chuan‐Jun; Chiang, Chang-Yu

doi:10.3390/ijerph10116106

Cited by 33 publications

(17 citation statements)

References 35 publications

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“…Some of the systems with these characteristics have been shown in some studies [2,34,35]. For example, Astaraky [36] presents a decision support system based on an MAS to aid an interdisciplinary healthcare team in cases of patients with chronic illnesses.…”

Section: Related Workmentioning

confidence: 99%

The Next Generation of Interoperability Agents in Healthcare

Cardoso

Marins

Portela

et al. 2014

IJERPH

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Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Information (AIDA), which is an intelligent, agent-based platform to ensure interoperability in healthcare units. It is increasingly important to ensure the high availability and reliability of systems. The functions provided by the systems that treat interoperability cannot fail. This paper shows the importance of monitoring and controlling intelligent agents as a tool to anticipate problems in health information systems. The interaction between humans and agents through an interface that allows the user to create new agents easily and to monitor their activities in real time is also an important feature, as health systems evolve by adopting more features and solving new problems. A module was installed in Centro Hospitalar do Porto, increasing the functionality and the overall usability of AIDA.

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Section: Related Workmentioning

confidence: 99%

The Next Generation of Interoperability Agents in Healthcare

Cardoso

Marins

Portela

et al. 2014

IJERPH

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“…Cloud computing is the addition, use, and delivery of Internet-based services and often provides dynamically scalable and virtualized resources through the Internet [33]. The development of cloud computing is not limited to PCs; with the vigorous development of the mobile Internet and the emergence of various mobile terminal devices, mobile cloud computing services have emerged.…”

Section: Cloud Computingmentioning

confidence: 99%

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Wang

Zhou

et al. 2018

Wireless Communications and Mobile Computing

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It is entering an era of big data, which facilitated great improvement in various sectors. Particularly, assisted by wireless communications and mobile computing, mobile devices have emerged with a great potential to renovate the healthcare industry. Although the advanced techniques will make it possible to understand what is happening in our body more deeply, it is extremely difficult to handle and process the big health data anytime and anywhere. Therefore, data analytics and mobile computing are significant for the healthcare systems to meet many technical challenges and problems that need to be addressed to realize this potential. Furthermore, the advanced healthcare systems have to be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human with more intelligent and professional healthcare services. To explore recent advances and disseminate state-of-the-art techniques related to data analytics and mobile computing on designing, building, and deploying novel technologies, to enable intelligent healthcare services and applications, this paper presents the detailed design for developing intelligent healthcare systems assisted by data analytics and mobile computing. Moreover, some representative intelligent healthcare applications are discussed to show that data analytics and mobile computing are available to enhance the performance of the healthcare services.

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“…In the latter case, there are multiple proposals focusing on (remote) home care, e.g., to monitor and assist older people at home, identifying potential dangerous situations (AmIHomCare [19]), or to provide support in the daily activities of an older person (ROBOCARE domestic environment [20]). Another similar approach is IAServ (Intelligent Aging-in-place Home care Web Services platform) [21], which produces a personalized healthcare plan to meet the desire of patients of still living in his own house. This is done by first submitting the patient's profile to IAServ by the healthcare professional, and then this profile is converted into an ontology specification to facilitate the generation of the personalized care plan for the patient, done by an inference engine.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Agent System in Ambient Intelligence for the Physical Rehabilitation of Older People

Roda¹,

Rodríguez²,

López-Jaquero

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. Ambient Intelligence (AmI) is a very active topic of research that is gaining more and more attention because of its characteristics, transparency and intelligence. Older people is one of the collectives that can take advantage of the use of AmI systems because, thanks to these characteristics, AmI systems can focus on older adults' real needs so that they satisfy one of their main motivations to adapt technological innovations: perceived benefits. And, perhaps, everything related to healthcare and home care is perceived by them as both valuable and beneficial. In this paper, it is presented the Multi-Agent architecture (MAS) of a healthcare AmI system to treat older people' motor impairment problems by using specific devices to control the patient's movements. In this way, the natural relationship between AmI and MAS is being widely exploited. AmI proposes the development of context-aware systems that integrate different devices to recognize the context and act accordingly. Agents provide an effective way to develop such systems since agents are reactive, proactive and exhibit an intelligent and autonomous behavior. One of the main differences of our system is that it provides therapist with support to design new therapies, to adapt them to each specific person and to control their execution instead of using a fixed set of exercises.

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IAServ: An Intelligent Home Care Web Services Platform in a Cloud for Aging-in-Place

Cited by 33 publications

References 35 publications

The Next Generation of Interoperability Agents in Healthcare

The Next Generation of Interoperability Agents in Healthcare

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

A Multi-Agent System in Ambient Intelligence for the Physical Rehabilitation of Older People

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