Análise estrutural da informatização da atenção básica do estado da Bahia, Brasil

Trata-se de um estudo transversal, descritivo, com objetivo de analisar a informatização da atenção básica no estado da Bahia. Foram analisados dados de 3.604 unidades básicas de saúde, considerando variáveis como distribuição regional e porte populacional. O estudo evidencia reduzidos percentuais de informatização das unidades, representada por ausência ou baixo número de computadores e periférico,…

VITESSE – more intelligence with emerging technologies for health systems

Abstract: VITESSE is a low cost system to support users in two scenarios: home care and accidents (fainting, trampling, etc.). Initially, the system was based on the digital TV technology in scenarios of home care. Nowadays, the system adds new functions to support urgent and emergency care of individuals in mobility. In both cases, the key idea of VITESSE is to improve the time of consuming process, taking into account the real time and contextual information, in particular in the case of accidents of mobile users. Therefore, VITESSE is a context-aware system that makes use of the concept of Internet of Things (IoT) and ontologies in the process of generating inferences, increasing the efficiency of health care systems.

TV-Health: A Context-Aware Health Care Application for Brazilian Digital Tv

Abstract: The home care consists in a form of primary care performed by a lay caregiver, a specialist or a multidisciplinary team. This modality is applied in elderly people or patients in treatment of chronic disease who are not at risk of death. The aim of this work is to present a set of context-aware health applications in a prototype of software and hardware that will assist caregivers and/or patients in home care situations. For this, a Set-Top Box (STB) connected to a TV with access to the Internet is used as a way of user interaction, which may enter information about its current state. Furthermore, health sensors can be used to capture data continuously to feed the system. The raw data and information provided by the user are later used, allowing, then, an inference about the patient condition.

TV-Health

Publicação de 2016. Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web — WebMedia ’16. DOI: 10.1145/2976796.2988170.