Systemic modeling in telemedicine

Abstract : The complexity of the health care system is a particularly notable framework for the development of telehealth and telemedicine. It is therefore necessary to try to answer the relevant question that can be summarized broadly as ''How to manage this complex system?'' We will discuss here the relations between system engineering and telehealth, or more specifically how systems engineering can be applied in the design of a telehealth system, and what benefits it can bring in its development. This naturally leads us to think of methods you can use to understand the difficulty of decision-making and the conceptual perspectives. It has been an accepted fact that this first requires modeling, i.e. to construct a representation of the perceived reality through symbols and relevant rules, then to verify or validate in absolute terms this representation, model, so as to improve or be able to use it. The importance of this modeling and the rigorous analysis of the requirements of telemedicine systems are even more apparent since the recognition of the generic representation declined in two meta-models: the first covers the activities of teleconsultation, teleexpertise and teleassistance; the second concerns telemonitoring.
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Bernard Kamsu-Foguem. Systemic modeling in telemedicine. European Research in Telemedicine / La Recherche Européenne en Télémédecine, Elsevier Masson SAS, 2014, vol. 3, pp. 57-65. ⟨10.1016/j.eurtel.2014.04.002⟩. ⟨hal-01070511⟩

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