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Develop an Intelligent Hierarchical Alert Mechanism for Elderly Residential Institutions

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Smart Grid and Internet of Things (SGIoT 2020)

Abstract

The tsunami of aging is coming making the population structure in Taiwan to change drastically. The elderly population with disability quickly rising which is accompanied by the doubling of the problem care. Family members who cannot be there with their elders due to economic burden send them to boarding typing institutions. Traditional medical care model cannot effectively manage due to limitations in deficient professional medical labor and medical resources resulting in the enigma of increasing social cost. In light of the fast development of information technology, that many innovative and cross-field applications can now be effectively placed into clinical institutions to enhance medical treatment efficiency and expand the scope of policy have become an important key. The research will bring in the basic concept of IoT and deploy medical grade IoT modules combined with communication transmission technology through edge computing connecting phasal warning mechanism to attempt to deploy deeply into clinical situation simulation to help the elderly self-examine their own health status on a regular basis in order to construct an appropriate model for health care and to reduce the waste of overcentralized social resources in large medical institutions for creating a life-protecting, protection, health care elderly care life environment so the institutional caring quality can be increased and that the combination of medical care for establishing a healthy elderly society.

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Acknowledgments

This research is supported by Ministry of Science and Technology of Taiwan, under research Project MOST108–2622-E-227–001-CC3.

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Correspondence to Lun-Ping Hung .

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Hung, LP., Wu, ZJ., Chun, CS., Li, SC., Chen, CL. (2021). Develop an Intelligent Hierarchical Alert Mechanism for Elderly Residential Institutions. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_37

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

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