Sílvio César Cazella

Leveraging the learning process in health through clinical cases simulator

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 students conduct during the simulation. Some results related with the SimDeCs evaluation are presented.

Analyzing Softwares in Medical Education Focusing on Quality Standards

With the strong growth and evolution in systems for medical education, there is an increasing concern with the quality of available software products. This article describes a methodology for evaluating software based on the NBR ISO / IEC 9126 standards and the ten golden rules for software in medical education. To validate this method, we considered as a case study the SimDeCS system.

Modeling and Tool Use

This section aims to illustrate the modeling of the developed system, and also demonstrates the use and operation of the tool with the aid of the Use Case diagram (Fig. 4.1) that characterizes the implemented features.

A Decision Support System for Medical Mobile Devices Based on Clinical Guidelines for Tuberculosis

The decision making process conducted by health professionals is strongly linked to the consultations of clinical guidelines, generally available in large text files, making the access to the information very laborious and time consuming. The health area is very fertile for the emergence of solutions based on mobility. Among others, there are solutions that offer to the doctor the access to the right information when and where needed, contributing so that the health services can be performed at anytime and anywhere. This study presents an application for mobile devices where you can get access to the content of clinical guidelines (in this case Tuberculosis’ clinical guideline). The prototype was evaluated by medical experts, showing promising results.

An Application for Mobile Devices Focused on Clinical Decision Support: Diabetes Mellitus Case

Clinical decision-making is performed by health professionals and it is currently connected to the need for manual query for these professionals for clinical guidelines, which are generally formed by large text files, which makes this process very slow and laborious. The development of mobility-based systems, which has the objective of helping the health-related processes, is becoming increasingly widespread. These solutions provide physicians fast and easy access to information anytime and anywhere, in order to support decision-making processes and the quality of care. This paper presents a decision support system based in the Brazilian primary care notebook: Diabetes Mellitus. The solution allows the physicians to interact with a flow of structured questions to assist in clinical reasoning, and, afterwards, they can obtain diagnosis or suggestions of for diabetes treatment. This flow of questions and their outputs are modeled in an ontology, which is found on the knowledge of basic attention specifications. The prototype was tested and evaluated by medical experts, with promising results.

Educação a Distância no Ensino das áreas da Saúde

O objetivo principal deste Grupo de Pesquisa é realizar pesquisas do fenômeno complexo de ensino-aprendizagem, a partir das necessidades específicas da formação de profissionais para atuação nas áreas de Saúde, integrando enfoques multidisciplinares que levem em conta as bases biológicas do aprendizado, as teorias cognitivas e psicológicas que interpretam o mesmo fenômeno, bem como os modelos didáticopedagógicos que fundamentam e qualificam atividades de ensino e produção de materiais de apoio a alunos e professores destas áreas. Na pesquisa serão contemplados três enfoques: o acompanhamento das atividades de ensino e a avaliação das contribuições e/ou impactos deste material no processo de ensino-aprendizagem, a validação dos modelos probabilísticos construídos e o desenvolvimento de ferramentas computacionais para Educação em Saúde.

SimDeCS: Architecture of a Multiagent System for Simulation of Decision Making in Health Care

This paper presents the architecture of the multiagent system SimDeCS (Intelligent Simulators for Decision Making in Health Care), describing the interaction between the agents that compose it and its practical application in the field of health education.

A Framework for Reengineering AMPLIA Enviroment

The AMPLIA - Probabilistic Multiagent Learning Environment is an educational tool aimed at creating an additional resource for assistance to medical education, supporting the development of diagnostic reasoning. The first version has some limitations when it comes to access only local network (LAN) as a function of applied technologies, and provide students with an unfriendly interface. The proposed framework aims to enable the use of Internet resources, and to propose an interface for a computer game, we developed a new technology framework that will enable the provision of knowledge to other university.