Literature DB >> 12695799

On the design of a generic and scalable multilayer software architecture for data flow management in the intensive care unit.

J Decruyenaere1, F De Turck, S Vanhastel, F Vandermeulen, P Demeester, G de Moor.   

Abstract

OBJECTIVES: The current Intensive Care Information Systems (IC-ISs) collect and store monitoring data in on automated way and can replace all paper forms by an electronic equivalent, resulting in a paperless ICU. Future development of IC-ISs will now have to focus on bedside clinical decision support. The current IC-ISs are data-driven systems, with a two-layer software architecture. This software architecture is hardly maintainable and probably not the most optimal architecture to make the transition towards future systems with-decision support. The aim of this research was to address the design of an alternative software architecture based on new paradigms.
METHODS: State-of-the art component, middleware and agent technology were deployed to design and implement a software architecture for ICU data flow management.
RESULTS: An advanced multi-layer architecture for efficient data flow management in the ICU has been designed. The architecture is both generic and scalable, which means that it neither depends on a particular ICU nor on the deployed monitoring devices. Automatic device detection and Graphical User Interface generation are taken into account. Furthermore, a demonstrator has been developed as a proof that the proposed conceptual software architecture is feasible in practice. The core of the new architecture consists of Bed Decision Agents (BDAs). The introduction of BDAs, who perform specific dedicated tasks, improves the adaptability and maintainability of the future very complex IC-ISs.
CONCLUSIONS: A software architecture, based on component, middleware and agent technology, is feasible and offers important advantages over the currently used two-layer software architecture.

Mesh:

Year:  2003        PMID: 12695799

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Role of an electronic antimicrobial alert system in intensive care in dosing errors and pharmacist workload.

Authors:  Barbara O M Claus; Kirsten Colpaert; Kristof Steurbaut; Filip De Turck; Dirk P Vogelaers; Hugo Robays; Johan Decruyenaere
Journal:  Int J Clin Pharm       Date:  2015-02-10

2.  Clinical care improvement with use of health information technology focusing on evidence based medicine.

Authors:  Peyman Rezaei Hachesu; Rezaei Hachesu Peyman; Maryam Ahmadi; Aziz Rezapoor; Rezapoor Aziz; Zahra Salahzadeh; Salahzadeh Zahra; Sadughi Farahnaz; Farahnaz Sadughi; Nader Maroufi; Maroufi Nader
Journal:  Healthc Inform Res       Date:  2012-09-30

3.  A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression.

Authors:  Stijn Van Looy; Thierry Verplancke; Dominique Benoit; Eric Hoste; Georges Van Maele; Filip De Turck; Johan Decruyenaere
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

4.  Intensive care information system impacts.

Authors:  Asghar Ehteshami; Farahnaz Sadoughi; Maryam Ahmadi; Parviz Kashefi
Journal:  Acta Inform Med       Date:  2013
  4 in total

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