Health Internet of Things: Metrics and methods for efficient data transfer

Paschou, Mersini; Sakkopoulos, Evangelos; Sourla, Efrosini; Tsakalidis, Athanasios K.

doi:10.1016/j.simpat.2012.08.002

Cited by 78 publications

(23 citation statements)

References 14 publications

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“…Privous studies on IoT focus on technological aspect (Miorandi et al, 2012;Gubbi et al, 2013), business applications such as health care (Paschou et al, 2013;Turcu and Turcu, 2013), surveillance (Miorandi et al, 2012), social networking (Atzori et al, 2012) and logistic service (Karakostas, 2013). Others discussed the social aspect of IoT technology, such as privacy and security (Alcaraz et al, 2013;Kothmayr et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors

Rong

Lin

et al. 2015

International Journal of Production Economics

242

173

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With fast development and application, the Internet of Things (IoT) brings more opportunities to business. This research aims to investigate how IoT could lead to a co-evolving business ecosystem rather than a supply chain. It develops the 6C framework to analyze the data collected from case companies, and identifies three patterns of IoT-based business ecosystem. It also provides a summary of practical implications to guide practitioners building an IoT-based business ecosystem.

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Section: Introductionmentioning

confidence: 99%

Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors

Rong

Lin

et al. 2015

International Journal of Production Economics

242

173

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“…Paschou et. al [41] found that IoT devices can greatly reduce costs for standard medical tests such as blood tests and urine sampling. These testing methods combined with the integration of data into medical databases enabled by IoT allows for faster diagnosis of diseases.…”

Section: Healthcarementioning

confidence: 99%

Disruption of Things: A Model to Facilitate Adoption of IoT-based Innovations by the Urban Poor

Roy

Zalzala

Kumar

2016

Procedia Engineering

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This study examines the adoption of the Internet of Things (IoT) based innovations by urban poor communities. In recent years, IoT applications in social networking, smart cities and m-health have been explored, but the social acceptance of such applications remain largely unknown. A consumer segment on which IoT can have a major positive impact is the urban poor, where IoT can provide access to services such as healthcare, education and food security. However, to facilitate adoption among the poor, IoT-based innovations must incorporate the unique characteristics of this segment viz. low levels of technology awareness, social acceptance and consumer need. The Disruption of Things refers to the process of distribution the innovations that are based on IoT and replacing existing market leaders and prevalent systems. The study was conducted in four stages -a literature review, a survey with the target users, interviews with experts (both technological and sociological) and a usability test with a prototype technology system. The results from the surveys, interviews and usability tests were used to develop a model for adoption of IoT-based innovations by the urban poor. The model identifies five sources of innovation -nutrition, healthcare, employment, education and finances. Based on these sources, a participative design process is undertaken. Once developed the innovation must provide excellent service based on three parameters -benefits (value of using the system to the users), support provided to the users, and training/instructions given to them regarding system use. Satisfied system's users would then be leveraged through three channelsadvertising, social media and word-of-mouth, in order to spur greater adoption of the innovation among the urban poor. Accomplishing these systematic processes would enable the Disruption of Things -replacement of existing market leaders by an IoT-based innovation. Scope and BenefitsThis study aims to develop a model that facilitates the adoption of IoT-based innovations by the urban poor. IoT is a global information infrastructure that enables advanced services by interconnecting devices based on existing and evolving interoperable information and communication technologies [1]. IoT facilitates communication forms beyond the traditional human-human to human-thing and thing-thing (also referred to as M2M). Radio Frequency Identification (RFID) is believed to be a foundation for IoT [2].While the original intent of IoT was to increase supply chain efficiencies for organizations [3], more recently potential IoT applications in social networking [4], smart cities [5] and m-health [6] have been explored. However, all such potential applications face a road block in the form of societal acceptance. Sanchez [7] noted that social acceptance was a major challenge in the implementation of smart cities. Coughlan [8] considered that social acceptance of IoT applications depended on a number of human factors such as sociology, psychology and human-computer interaction.

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“…The messages exchange with sms may be more expensive than internet, since IMS can be connected to internet through the research center infrastructure. In order to save costs [16] (supposing that laboratory has an internet connection), the IMS tries to reduce the number of sms sent according to Algorithm1 detailed in Fig. 4.…”

Section: Sms Sent By Server Descriptionmentioning

confidence: 99%

Monitoring experiments using mobile devices

Muros-Cobos

Holgado-Terriza

Cabrerizo-Vílchez

2013

2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applicati

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Nowadays most of people have smartphones which can run complex application. Some kinds of experiments need several hours to finish. Using recent mobiles capabilities, anyone can monitor instruments and equipment efficiently from anywhere. Hence, alert services can prevent users from any incidence on supervised instruments and experiments. In this paper a new monitoring mechanism is proposed for the supervision of an experiment by improving the reception of messages in any case using mobile devices. Finally, a practice case of the implemented mechanism is presented for Android mobiles.

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Health Internet of Things: Metrics and methods for efficient data transfer

Cited by 78 publications

References 14 publications

Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors

Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors

Disruption of Things: A Model to Facilitate Adoption of IoT-based Innovations by the Urban Poor

Monitoring experiments using mobile devices

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