In 2000, the Institute of Medicine's report, To Err Is Human: Building a Safer Health System, caught the public attention documenting the magnitude of the medical error problem and the inherent patient safety: medical errors cause between 44,000 and 98,000 deaths annually in the United States. Currently, there is a growing interest in risk management on the medical field, particularly in the management of adver...
Background: In 2000, the Institute of Medicine reported alarming data on the scope and impact of medical errors calling the public attention. One solution to this problem is the adoption of adverse event reporting and learning systems that can help to identify hazards and risks. The accumulation of potentially relevant data in databases contributes little to quality improvement. It is crucial to apply models to...
Em 2000, o relatório do Instituto da Medicina, “To Err Is Human: Building A Safer Health System”, captou a atenção da opinião pública ao relevar a magnitude do problemática do erro médico e da inerente segurança do doente: cerca de 44 000 a 98 000 pessoas morrem por ano nos Estados Unidos da América devido a erros médicos. Actualmente, verifica-se um crescente interesse na gestão do risco na área médica, em par...
O ensino baseado na Web, utilizando Sistemas Tutoriais Inteligentes (STIs), é considerado um dos mais bem sucedidos empreendimentos da Inteligência Artificial. Na verdade, há uma longa lista de STIs já testados e que demonstraram facilitar o processo de aprendizagem, entre os quais se encontram os que respondem por disciplinas como a Álgebra, Geometria, Línguas e Informática. Estes STIs utilizam uma grande vari...
This paper presents a solution to minimize a problem that normally arises from the huge amount of images that a radiologist usually has to interpret. A multi-agent system that implements a multi-display for medical imaging based on computer clustering of normal personal computers is therefore described, as well as the multi-agent architecture that caters for the system evolution. An evaluation study was perform...
The evolution of equipments used in the medical imaging practice, from 3-tesla Magnetic Resonance (MR) units and 64-slice Computer Tomography (CT) systems to the latest generation of hybrid Positron Emission Tomography (PET)/CT technologies is fast producing a volume of images that threatens to overload the capacity of the interpreting radiologists. On the other hand multi-agents systems are being used in a wid...
Web-based teaching via Intelligent Tutoring Systems (ITSs) is considered as one of the most successful enterprises in artificial intelligence. Indeed, there is a long list of ITSs that have been tested on humans and have proven to facilitate learning, among which we may find the well-tested and known tutors of algebra, geometry, and computer languages. These ITSs use a variety of computational paradigms, as pro...
Comunicação apresentada na International Conference on Knowledge Engineering and Decision Support, 1, Porto, 2004. ; e-Learning in the health care area is becoming extremely popular. e-Learning implementations using holding portals has shown advantages in universities enabling them to implement expansion processes at reduced costs. Experts can launch new learning courses or even simple instructions for there s...
Embedding Machine Learning technology into Intelligent Diagnosis Systems adds a new potential to such systems and in particular to the imagiology ones. In our work, this is achieved using the data acquired from MEDsys, a computational environment that supports medical diagnosis systems that use an amalgam of knowledge discovery and data mining techniques, which use the potential of an extension to the language ...
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