In the last decade, molecular principles and pathogenetic factors involved in the development of many diseases have been successfully discovered. Early biological concepts based on reductionistic systemic and cybernetic approaches have been revisited and overshadowed by recent molecular and pathogenetic findings for healthcare safety management. Mid-20th century biological concepts based on systematic and classic cybernetic thoughts fell into oblivion. Unfortunately, current system still can be quite fragile to unespected event, and unpredictable changes can be very disorienting at enterprise level. The needs to answer tighter regulatory processes (safety, security, environmental control, health impacts, etc.) and to assess resilient and antifragile performances for complex systems have led to the emergence of a new industrial simulation challenge to take uncertainties into account when dealing with complex numerical simulation frameworks. Current uncertainty quantification (UQ) approaches aim to include uncertainty in mathematical models and quantify its effect on output of interest used in decision making. Nevertheless, to grasp a more reliable representation of reality and to get more resilient and antifragile techniques, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergically articulated by natural coupling. CICT & GSI coupled support can offer an effective and convenient framework to develop more competitive and reliable complex system modeling. This paper is a relevant contribute to show how CICT & GSI can offer stronger and more effective system modeling solutions in Healthcare.

Effective safety and security modeling in Healthcare by GSI & CICT coupled support

FIORINI, RODOLFO;
2015

Abstract

In the last decade, molecular principles and pathogenetic factors involved in the development of many diseases have been successfully discovered. Early biological concepts based on reductionistic systemic and cybernetic approaches have been revisited and overshadowed by recent molecular and pathogenetic findings for healthcare safety management. Mid-20th century biological concepts based on systematic and classic cybernetic thoughts fell into oblivion. Unfortunately, current system still can be quite fragile to unespected event, and unpredictable changes can be very disorienting at enterprise level. The needs to answer tighter regulatory processes (safety, security, environmental control, health impacts, etc.) and to assess resilient and antifragile performances for complex systems have led to the emergence of a new industrial simulation challenge to take uncertainties into account when dealing with complex numerical simulation frameworks. Current uncertainty quantification (UQ) approaches aim to include uncertainty in mathematical models and quantify its effect on output of interest used in decision making. Nevertheless, to grasp a more reliable representation of reality and to get more resilient and antifragile techniques, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergically articulated by natural coupling. CICT & GSI coupled support can offer an effective and convenient framework to develop more competitive and reliable complex system modeling. This paper is a relevant contribute to show how CICT & GSI can offer stronger and more effective system modeling solutions in Healthcare.
Proceedings of the 19th International Conference on Systems
9781618043269
biomedical engineering, CICT, healthcare, uncertainty quantification
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/964951
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