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Neurological Sciences
Article . 2015 . Peer-reviewed
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Neurological Sciences
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Simulation in neurology

Authors: Micieli, Giuseppe; Cavallini, Anna; Santalucia, Paola; Gensini, Gianfranco;

Simulation in neurology

Abstract

Simulation is a frontier for disseminating knowledge in almost all the fields of medicine and it is attracting growing interest because it offers a means of developing new teaching and training models, as well as of verifying what has been learned in a critical setting that simulates clinical practice. The role of simulation in neurology, until now limited by the obvious physical limitations of the dummies used to train students and learners, is now increasing since, today, it allows anamnestic data to be related to the instrumental evidence necessary for diagnosis and therapeutic decision-making, i.e., to the findings of neurophysiological investigations (EEG, carotid and vertebral echography and transcranial Doppler, for example) and neuroradiological investigations (CT, MRI imaging), as well as vital parameter monitoring (ECG, saturimetry, blood pressure, respiratory frequency, etc.). Simulation, by providing learners with opportunities to discuss, with experts, different profiles of biological parameters (both during the simulation itself and in the subsequent debriefing session), is becoming an increasingly important tool for training those involved in evaluation of critical neurological patients (stroke, Guillan Barrè syndrome, myasthenia, status epilepticus, headache, vertigo, confusional status, etc.) and complex cases. In this SIMMED (Italian Society for Simulation in Medicine) position paper, the applications (present and, possibly, future) of simulation in neurology are reported.

Country
Italy
Keywords

Patient Simulation, Psychiatry and Mental health, Neurology, Clinical Neurology, Humans, Education, Medical, Continuing, Dermatology, Nervous System Diseases

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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