An intelligent classifier model for enhancing the decision making process on the Clariisa system

Abstract: LARIISA is a framework that makes use of context-aware to support decision-making and governancein the public health area. This paper presents the CLARIISA, an evolution of LARIISA towards an intelligent classifier model for enhancing the decision making process. Two applications are shown to illustratethe upgrade on the LARIISA system. The first one uses the Bayesian networks on a dengue case. The second uses ontology to manage home care scenarios. In both cases, the contributions related to our framework include patient health diagnosis provided remotely, support for decision making health systems, and context information for context-aware health systems.

Equitable access to health services for children aged 5 to 9 in a medium city of northeasth of Brazil: a result of Family Health Strategy

Abstract: Introduction:
The Brazilian National Health System May Reduce Inequalities In Access To Health Services Through Strategies That Can Reach Those Most In Need With no Access To Care Services.

Objective:
To Identify Factors Associated With The Use Of Health Service By Children Aged 5 To 9 Years In The City Of Sobral, Ceará, Northeastern Brazil.

Results:
Only 558 (17.0%) Children Used Health Care Services In The 30 Days Preceding This Survey. Children With Any Health Condition (or = 3.90) Who Were Frequent Attenders Of Primary Care Strategy Of Organization (the Family Health Strategy, Fhs) (or = 1.81) And Living In The City’s Urban Area (or = 1.51) Were More Likely To Use Health Services. Almost 80% Of Children Used Fhs as Their Referral Care Service. Children From Poorer Families And With Easier Access To Services Were More Likely To Be Fhs Users.

Conclusion:
The Study Showed That Access To Health Services Has Been Relatively Equitable Through The Fhs, a Point Of Entry To The Local Health System.

Social Determinants Of Health; Health Service/utilization; Health Services Accessibility; Equity; Family Health; Child Health Services

A Home Care Prototype Based On The Brazilian Digital Tv For a Health Management System

Abstract: Systems based on Information and Communication Technology have been designed to meet needs related to the management of processes involved in home care activities. However, most products on the market today are expensive and there is a great need of low-cost products, accessible to all people in disadvantage (Classes D and E). This paper presents the Diga-Saúde, a low-cost prototype that provides home care services through a main user Digital TV Interactive interface. It takes advantage of the popularity scheduled for the Brazilian Digital TV. The Diga-Saúde has been used on the LARIISA project, a governance decision-making support model for public health systems centered on the family. To connect LARIISA and the Diga-Saúde, we use LISA – LARIISA Integration System – a highly expansible system that aims at facilitating the inclusion and exclusion of context providers, even if they have not originally been conceived for the LARIISA interface.

Inteligência de Governança para apoio à Tomada de Decisão

Agradeço a oportunidade de participar dessa discussão que envolve tema tão relevante para o SUS. Oswaldo Tanaka nos brinda com um texto instigante e oportuno, face aos desafios apresentados para o estabelecimento de sistemas universais de saúde, principalmente no que diz respeito aos três domínios analisados: gestão, avaliação e tomada de decisão.

A Context-Aware Framework for Healthcare Governance Decision-Making Systems

Abstract: This work proposes a governance decision-making support model for public health care systems. It encompasses and integrates the family homes in a new intelligent Health Care Information System. In order to support end-user interaction with this system, the proposed model is built on the GINGA middleware developed for the Brazilian Digital TV, whose full access will be country-wide in 2015. Based on five intelligence management domains, namely knowledge, normative, clinical-epidemiological, administrative, and shared, the model relies on an Optical-WiMAX communication infrastructure (Brazilian Digital Belt), which will reach 82% of urban population of the Ceará State in Brazil. In additional, we present a context-aware decision-making support framework, which offers context-aware services that can be reused for implementing the proposed conceptual model.