A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine | Zendy

Hugo Peixoto | Zendy; Tiago Guimarães | Zendy; Manuel Filipe Santos | Zendy

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A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine

Author(s) -

Hugo Peixoto,

Tiago Guimarães,

Manuel Filipe Santos

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.077

Subject(s) - interoperability , computer science , decision support system , clinical decision support system , intelligent decision support system , work (physics) , intensive care , focus (optics) , architecture , information system , knowledge management , world wide web , artificial intelligence , medicine , engineering , visual arts , mechanical engineering , art , physics , electrical engineering , optics , intensive care medicine

Real-time and intelligent decision support systems are of most importance to supply intensive care professionals with important information in useful time. The work presented hereby shows an architectural overview of the communication system with bedside devices such as vital sign monitors. Intelligent Decision Support System for Intensive Medicine (ICDS4IM) goal is to ensure information quality and availability to Intensive Medicine professionals to take supported decisions in a mutable environment where complex and unpredictable events are a common state. Therefore, this work focus on Health Information Systems, Interoperability and Information Diffusion and Archive. Moreover, communication standards and the usage of a new technology such as containerization are discussed.

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