Empowerment of Patients with Hypertension through BPM, IoT and Remote Sensing

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Title: Empowerment of Patients with Hypertension through BPM, IoT and Remote Sensing
Authors: Ruiz-Fernandez, Daniel | Marcos-Jorquera, Diego | Gilart, Virgilio | Vives-Boix, Víctor | Ramírez-Navarro, Javier
Research Group/s: Ingeniería Bioinspirada e Informática para la Salud
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Health devices | Health sensors | Business Process Management | Hypertension | IoT | Remote sensing
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 4-Oct-2017
Publisher: MDPI
Citation: Ruiz-Fernández D, Marcos-Jorquera D, Gilart-Iglesias V, Vives-Boix V, Ramírez-Navarro J. Empowerment of Patients with Hypertension through BPM, IoT and Remote Sensing. Sensors. 2017; 17(10):2273. doi:10.3390/s17102273
Abstract: Hypertension affects one in five adults worldwide. Healthcare processes require interdisciplinary cooperation and coordination between medical teams, clinical processes, and patients. The lack of patients’ empowerment and adherence to treatment makes necessary to integrate patients, data collecting devices and clinical processes. For this reason, in this paper we propose a model based on Business Process Management paradigm, together with a group of technologies, techniques and IT principles which increase the benefits of the paradigm. To achieve the proposed model, the clinical process of the hypertension is analyzed with the objective of detecting weaknesses and improving the process. Once the process is analyzed, an architecture that joins health devices and environmental sensors, together with an information system, has been developed. To test the architecture, a web system connected with health monitors and environment sensors, and with a mobile app have been implemented.
Sponsor: This work has been granted by the Ministerio de Economía y Competitividad of the Spanish Government (ref. TIN2014-53067-C3-1-R) and co-financed by FEDER.
URI: http://hdl.handle.net/10045/69975
ISSN: 1424-8220
DOI: 10.3390/s17102273
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: http://dx.doi.org/10.3390/s17102273
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