Abstract
This chapter presents the algorithms for decision-making in case of myasthenia gravis, inspired not only by the clinical aspects but also by the organizational, technological, and professional characteristics of the hospital caring for the acute patients. A summarizing table (decisional algorithm) classifies the various settings (A, B) in which clinicians manage patients. These algorithms are to be considered as reference material for helping physicians in selecting the most adequate pathway according to the hospital facilities available.
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Verrengia, E.P., Jann, S., Rigamonti, A. (2017). Differentiated Decisional Algorithms Based on the Technical and Organizational Characteristics of the Hospital Receiving the Clinical Case. In: Agostoni, E. (eds) Emergencies in Neuromuscular Disease. Emergency Management in Neurology. Springer, Cham. https://doi.org/10.1007/978-3-319-56654-2_12
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DOI: https://doi.org/10.1007/978-3-319-56654-2_12
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Online ISBN: 978-3-319-56654-2
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