Inquérito sobre nível de conhecimento e participação em Normas Brasileiras de Informática em Saúde / Survey about knowledge level and participation in Brazilian Health Standards / Encuesta de nivel de conocimiento y la participación en las Normas Brasileñas de Informática de la Salud

A padronização por meio de normas técnicas ABNT/CEE-78 representa uma forma de incrementar a adoção de tecnologias da informação e comunicação na área da saúde. Entretanto, parte dos profissionais e estudantes de áreas relacionadas à informática em saúde ainda desconhecem esse tema. Objetivo: identificar o nível de conhecimento das normas técnicas ABNT/CEE-78 por profissionais e estudantes de Informática em saúde. Método: foi elaborado um inquérito seguindo as etapas de pesquisa bibliográfica e construção de um questionário online. Resultados: 110 participantes responderam ao questionário, sendo 64% com idade entre 20 e 40 anos e 47% da área de exatas. Apesar de 77% apontarem conhecer a ABNT, somente 2% participam das atividades da ABNT/CEE-78, mas 58% demonstraram interesse em participar e promovê-las. Conclusão: Foi possível identificar que embora a grande maioria dos participantes conheça a ABNT, poucos possuem conhecimento sobre normas da área da Informática em Saúde.

The standardization of technical standards by ABNT/CEE-78 is a way to increase the adoption of information and communication technologies in health area. However, the professionals and students related to health informatics areas are still unaware of this issue. Objective: Identify the level of knowledge of technical standards ABNT / CEE-78 for professionals and students in health informatics. Method:  a survey was prepared following the steps of bibliographic research and building an online questionnaire. Results: 110 participants completed the survey, with 64% between 20 and 40 years old and 47% in the exact sciences area. Although 77% know about ABNT, only 2% participate in ABNT/CEE-78 activities, but 58% expressed interest in participating and promoting them. Conclusion: It was possible to identify that despite a mojority of participants knows about ABNT, only few have knoldgement about health informatics standards.

La estandarización de las normas técnicas a través de la ABNT / CEE-78 es una forma de aumentar la adopción de tecnologías de la información y de la comunicación en la asistencia sanitaria. Sin embargo, los profesionales y estudiantes de las áreas de informática relacionados con la salud todavía no son conscientes de este problema. Objetivo: Identificar el nivel de conocimiento de las normas técnicas ABNT / CEE-78 para profesionales y estudiantes de informática de la salud. Método: una encuesta se desarrolló siguiendo los pasos de la investigación bibliográfica y la construcción de un cuestionario en línea. Resultados: 110 participantes completaron el cuestionario, 64% tenían edad entre 20 y 40 años y 47% son de las ciencias exactas. A pesar de que 77% indicaron conocer la ABNT, sólo 2% participa en actividades de ABNT / CEE-78, pero 58% expresó su interés en participacion y promoción de las mismas. Conclusión: El estudio identificó que aunque la gran mayoría de los participantes sabe ABNT, pocos tienen conocimiento de las normas en el campo de la Informática de la Salud.

Wavelet correlation between subjects: a time-scale data driven analysis for brain mapping using fMRI.

Functional magnetic resonance imaging (fMRI) based on BOLD signal has been used to indirectly measure the local neural activity induced by cognitive tasks or stimulation. Most fMRI data analysis is carried out using the general linear model (GLM), a statistical approach which predicts the changes in the observed BOLD response based on an expected hemodynamic response function (HRF). In cases when the task is cognitively complex or in cases of diseases, variations in shape and/or delay may reduce the reliability of results. A novel exploratory method using fMRI data, which attempts to discriminate between neurophysiological signals induced by the stimulation protocol from artifacts or other confounding factors, is introduced in this paper. This new method is based on the fusion between correlation analysis and the discrete wavelet transform, to identify similarities in the time course of the BOLD signal in a group of volunteers. We illustrate the usefulness of this approach by analyzing fMRI data from normal subjects presented with standardized human face pictures expressing different degrees of sadness. The results show that the proposed wavelet correlation analysis has greater statistical power than conventional GLM or time domain intersubject correlation analysis.