Abstract
The DT paradigm has emerged as a suitable way to cope with the complexity of analyzing, controlling, and adapting complex
systems in diverse domains. For medical systems, however, the DT paradigm is not fully exploited mainly due to the complexity
of dealing with uncertain human behavior, and of preventing sensitive information leakage (e.g., patient personal medical
profiles). We present the first results of a long-term recently launched research aiming at engineering a DT for a medical
device endowed with trust analyses techniques able to deal with human and environmental uncertainty, and security protection.
As a proof of concept, we apply our DT vision to the case study of a mechanical ventilator developed for Covid 19 patient
care. The long-term aim is engineering a new generation of lung ventilators where the use of a DT can prevent unreliability
and untrustworthiness of a system where interactions, both physical (machine-patient) and operational (machine-medical staff),
are characterized by the presence of uncertainty and vulnerabilities.
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