El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In this paper, we proposed a wearable technology model to control and monitor hypertension during pregnancy. We enhanced prior models by adding a series of health parameters that could potentially prevent and correct hypertension disorders in pregnancy. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. In this process, we also assessed the current technologies and systems applications offered in the market. The model consists of four phases: 1. The health parameters of the patient are collected through a wearable device; 2. The data is received by a mobile application; 3. The data is stored in a cloud database; 4. The data is analyzed on real-time using a data analytics application. The model was validated and piloted in a public hospital in Lima, Peru. The preliminary results showed an increased-on number of controlled patients by 11% and a reduction of maternal deaths by 7%, among other relevant health factors that allowed healthcare providers to take corrective and preventive actions. / Revisión por pares
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/624723 |
| Date | 27 June 2018 |
| Creators | Lopez, Betsy Diamar Balbin, Aguirre, Jimmy Alexander Armas, Coronado, Diego Antonio Reyes, Gonzalez, Paola A. |
| Contributors | betsybalbin@gmail.com, jimmy.armas@upc.pe, diegoreyes1212@gmail.com, paola.gonzalez@dal.ca |
| Publisher | IEEE Computer Society |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Format | application/pdf |
| Source | 1, 6 |
| Rights | info:eu-repo/semantics/restrictedAccess |
| Relation | Iberian Conference on Information Systems and Technologies, CISTI, https://ieeexplore.ieee.org/document/8399200/ |
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