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An approach to mitigate challenges to the Electronic Health Records storage

2020; Elsevier BV; Volume: 154; Linguagem: Inglês

10.1016/j.measurement.2019.107424

1873-412X

Rumenigue Hohemberger, Cinara Ewerling da Rosa, Felipe Rubin, Rodrigo Mello da Rosa, Paulo Silas Severo de Souza, Arthur F. Lorenzon, Marcelo Caggiani Luizelli, Fábio Diniz Rossi,

Artificial Intelligence in Healthcare

The Internet of Things (IoT) 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.