Abstract

This article is about an architectural hardware-software model creation—home-based smart health model—to boost healthcare to a higher position within society. As an emerging field, smart health modeling is still insufficient. Current smart health services are hospital centered, data are scattered and application dependent, and health service provision presents attention delays. Analyses of Internet of things, Internet of medical things, and smart health applications potentials are the bases for the proposed home-based smart health model. The model aims to facilitate the smart health development and strengthening. To evaluate whether the model does what it must do, first, check lists on how the model complies with current and future devices and applications, smart health impacts and smart health potentialities, and second, a case study analyses the model conformity through an Internet of things sophisticated cloud app.

Highlights

  • The initial information and communication technology (ICT) adoption in the healthcare sector main contribution was cost reduction and efficiency

  • Another evolving concept is smart health (s-health), which is based on both smart city and Internet of things (IoT) use. ‘‘Smarter cities make their systems instrumented, interconnected and intelligent.’’1 IoT allows connecting identifiers, sensors, devices, and computers through wired and wireless networks.[2,3]

  • The article analyses the literature in terms of IoT and the healthcare sector, Industry 4.0, IoT technologies and s-health, and IoT architectures

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Summary

Introduction

The initial information and communication technology (ICT) adoption in the healthcare sector main contribution was cost reduction and efficiency. The new model should support provision for home medical services that were previously available in hospitals These services would be based on gathering and processing patient-related data from portable sensors. To respond the questions and its derivatives, the article aims to build a model that contributes to the understanding of how s-health can be applied in a home environment and what fundamental infrastructures are needed to support s-health. Following this introduction, the article analyses the literature in terms of IoT and the healthcare sector, Industry 4.0, IoT technologies and s-health, and IoT architectures. The article ends with two method validation sections: a comparison between before and after the model, and a case study

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