Search results for "Teleexpertise"

showing 2 items of 2 documents

Argumentative reasoning and taxonomic analysis for the identification of medical errors

2015

Telemedicine consists of the use of information and communication technologies (ICTs) in the practice of medicine. The massive digitalisation of the society is changing the behaviour of ordinary people even in medical sectors. The impact of digitisation is also having impacts on teleexpertise, where a medical professional can remotely ask some advices through the use of ICTs to provide treatment to a patient in critical conditions in remote environment. However, sometimes the outcome of such advice obtained remotely can lead to medical errors. In these situations, it is important to determine whether the causes of the errors could have been avoidable or not for the purposes of establishing …

Argumentative[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationKnowledge managementComputer scienceMedical procedureMédecine humaine et pathologieArgumentation frameworkArgumentation theoryArtificial Intelligence[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyArgumentationMedical errorsElectrical and Electronic EngineeringLegal procedureTaxonomybusiness.industryModélisation et simulation16. Peace & justice[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGroup decision-makingIdentification (information)Control and Systems EngineeringInformation and Communications TechnologyKnowledge tracingTeleexpertisebusiness[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Argumentation graphs with constraint-based reasoning for collaborative expertise

2018

International audience; Collaborative processes are very important in telemedicine domain since they allow for making right decisions in complex situations with multidisciplinary staff. When modelling these collaborative processes, some inconsistencies can appear. In semantic modelling (conceptual graphs), these inconsistencies are verified using constraints. In this work, collaborative processes are represented using an argumentation system modelled in a conceptual graph formalism where inconsistencies could be particular bad attack relation between arguments. To overcome these inconsistencies, two solutions are proposed. The first one is to weight the arguments evolving in the argumentati…

Constraint based reasoningmedical deontologyComputer Networks and CommunicationsComputer sciencedomain0206 medical engineeringMédecine humaine et pathologieArgumentation theory02 engineering and technologyInconsistenciesWeightingdecision makingArgumentation theoryAutreMultidisciplinary approachframeworksCredibilityconceptual graphs0202 electrical engineering electronic engineering information engineeringinconsistenciesCompetence (human resources)Health professionalsManagement scienceMedical deontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]decision-makingargumentation theory16. Peace & justice020601 biomedical engineeringWeightingassignmentConceptual graphsHardware and ArchitectureConceptual graph020201 artificial intelligence & image processingweightingteleexpertiseDecision makingpreference-based argumentationmanagement[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologySoftwareFuture Generation Computer Systems
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