Objective: to develop a Navigation Program for cancer patients, based on the model proposed by The GW Cancer Institute at George Washington University, adapted to the reality of a Brazilian High Complexity Center in Oncology. Method: a convergent care research applied in the development of a patient navigation care process, based on the model proposed by George Washington University, adapted for a High Complexity Center in Oncology in Brazil. Phases of the Convergent Assistance Research: conception, instrumentation, scrutiny, analysis and interpretation. These were correlated with the stages of the Program Development Cycle. Scale designed to categorize patients into navigation levels, validated by the Delphi Technique, with 12 specialists. Results: in the diagnosis, patients with head and neck cancer were defined for inclusion in the Navigation Program. Planning and implementation took place simultaneously, allowing the basic formatting of the program and its processes to be designed. Navigation Needs Assessment Scale designed to select the patient to join the Program and determine the recommended support. The scale validation had a consensus index of 96.42%. Evaluation of the stages of the cycle occurred through the adapted Plan/Do/Check/Act cycle. Conclusion: a Navigation Program was developed adapted to the Brazilian reality, and attributions of the navigators were created.
The nurse navigator offer a unique service for the provision of quality care. Although international research is recent, further studies on the role of these professionals are clearly needed.
A atenção à saúde exige cada vez mais profissionais com habilidades de pensamento crítico-reflexivo e tomada de decisões, constituindo um desafio aos educadores a implementação de metodologias ativas de aprendizagem condizentes com o avanço tecnológico atual. Dessa forma, o intuito deste artigo é apresentar o desenvolvimento de simulação de um caso clínico por meio do software SIACC (Sistema Interdisciplinar de Análise de Casos Clínicos) para auxiliar o estudo de fundamentos de enfermagem. O processo de criação do caso clínico no SIACC foi dividido em duas etapas: cadastro de informações e montagem do caso. O casopiloto desenvolvido sobre ‘úlceras por pressão’ apresenta imagens, vídeos, artigos e exercícios para facilitar o aprendizado do aluno sobre o tema abordado. Os resultados apresentados reforçam que a utilização de simulação clínica virtual no ensino dessa profissão favorece a correlação entre as atividades teóricas e as experiências clínicas, auxiliando o aluno no desenvolvimento de conhecimentos, habilidades e atitudes fundamentais para o exercício do cuidado de enfermagem.
Interface Cérebro-Computador (ICC) é um sistema computacional capaz de estabelecer a comunicação entre a atividade neurofisiológica e uma máquina computacional. Neste contexto, o presente trabalho tem como principal objetivo apresentar o desenvolvimento de um simulador de cadeira de rodas comandada por uma ICC não invasiva, utilizando um eletroencefalograma (EEG) de baixo custo. O simulador será utilizado para treinamento de pessoas com necessidades especiais para que, no momento de uso da cadeira, consigam controlá-la facilmente, evitando acidentes.
This paper presents a multi-agent learning system for health care practitioners named SimDeCS (Simulation for Decision Making in the Health Care Service). The main contribution of this work is the system architecture, model learning environment supported by artificial intelligence techniques, and its evaluation as a educational software. The SimDeCS was designed as a multi-agent system, composed by three intelligent agents: Domain Agent, Learning Agent and Mediator Agent. The Domain Agent implements the knowledge model by probabilistic reasoning (Bayesian networks), with the knowledge encoded by human experts. The pedagogical strategies emerge from an influence diagram, based on the student's conduct during the simulation. Some results related with the SimDeCs evaluation are presented.
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