An approach to mitigate challenges to the Electronic Health Records storage

被引：0

作者：

Hohemberger, Rumenigue ^{[1
,3
]}

da Rosa, Cinara Ewerling ^{[1
]}

Pfeifer, Felipe Rubin ^{[2
]}

da Rosa, Rodrigo Mello ^{[2
]}

Severo de Souza, Paulo Silas ^{[2
]}

Lorenzon, Arthur Francisco ^{[3
]}

Luizelli, Marcelo Caggiani ^{[3
]}

Rossi, Fabio Diniz ^{[1
]}

机构：

[1] Fed Inst Educ Sci & Technol Farroupilha, Alegrete, RS, Brazil

[2] Pontificia Univ Catolica Rio Grande do Sul, Porto Alegre, RS, Brazil

[3] Fed Univ Pampa, Alegrete, RS, Brazil

来源：

MEASUREMENT | 2020年 / 154卷

关键词：

Big data; eHealth; IoT; Storage; INTERNET; THINGS;

D O I：

10.1016/j.measurement.2019.107424

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The Internet of Things (loT) has been embraced in our daily lives as it was in many sectors of the economy. In the health sector, many possible applications have emerged, most often in regards to the detection and prevention of chronic diseases. One of many possibilities is patient monitoring through wearable devices and mobile applications. In order to promptly identify vital signs changes and to reduce the incidence of serious diseases, collecting data in real-time and feeding it to Electronic Health Records (EHR) in hospitals or medical clinics can further be of assistance to decision making. The downside of this process is that it involves storing such a large amount of data, thus becoming almost unfeasible. This work attempts to address this problem and present possible solutions and insights. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：5

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