A scalable model for building context-aware applications for noncommunicable diseases prevention

• Published in: Information processing letters Vol. 148; pp. 1 - 6
• Main Authors: Vianna, Henrique Damasceno, Barbosa, Jorge Luis Victória
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2019
• Subjects: Architectures; Distributed computing; Healthcare; Real-time and embedded systems; Healthcare; Distributed computing; Real-time and embedded systems; Architectures
• ISSN: 0020-0190; 1872-6119
• DOI: 10.1016/j.ipl.2019.03.010

Healthy diet and physical activity practice are well-known required behaviors for preventing noncommunicable diseases. However, sometimes it is difficult for people to change life-styles by themselves, once they are subject to environment and social networks influences. Nowadays plenty of devices and applications are offered promising to help patients, but the solely use and spreading of ubiquitous computing devices are not enough to help patients to reach their health goals. Strategies are needed to integrate people, technology and the data generated by them, to patients overcome their health issues. So, this article presents an scalable model that aims to integrate people, data and technology for improving health care. This model was designed with noncommunicable diseases prevention in mind, but it can be generalized to other domains. Furthermore, available current technologies can be used to implement the proposed model. •Architectures for health-care must deal with massive data from different origins.•People and places are the actors that interact with each other.•Access control, context, notification, resource, and location are actors' components.•Components can be distributed and replicated to balance actors' representation load.