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@article{7db862a4bddd459fbf3a8cdf62b6fa1a,
title = "A Hybrid Hierarchical Decision Support System for Cardiac Surgical Intensive Care Patients. Part II: Clinical Implementation and Evaluation",
abstract = "Patients emerging from cardiac surgery can display varying degrees of cardiovascular instability arising from potentially complex, multi-factorial and interlinked causes. Stabilization and control of the cardiovascular system are currently managed by healthcare experts using experiential knowledge, and, in some centers, manually inputted decision pathway algorithms. This paper describes a clinical trial undertaken to determine the basic functioning of a clinical decision support system (CDSS) designed and constructed by the authors to facilitate the control of the major cardiovascular components in the early post-operative phase. Part II follows Part I's description of the software and simulation testing of the CDSS, and describes the hardware setup of a patient monitoring and CDSS. The system is evaluated on three post-cardiac surgery intensive care patients whom had all undergone cardio-pulmonary bypass",
author = "J.J. Ross and Mouloud Denai and M. Mahfouf",
year = "2009",
month = "1",
doi = "10.1016/j.artmed.2008.11.010",
language = "English",
volume = "45",
pages = "53--62",
journal = "Artificial Intelligence in Medicine",
issn = "0933-3657",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - A Hybrid Hierarchical Decision Support System for Cardiac Surgical Intensive Care Patients. Part II

T2 - Clinical Implementation and Evaluation

AU - Ross, J.J.

AU - Denai, Mouloud

AU - Mahfouf, M.

PY - 2009/1

Y1 - 2009/1

N2 - Patients emerging from cardiac surgery can display varying degrees of cardiovascular instability arising from potentially complex, multi-factorial and interlinked causes. Stabilization and control of the cardiovascular system are currently managed by healthcare experts using experiential knowledge, and, in some centers, manually inputted decision pathway algorithms. This paper describes a clinical trial undertaken to determine the basic functioning of a clinical decision support system (CDSS) designed and constructed by the authors to facilitate the control of the major cardiovascular components in the early post-operative phase. Part II follows Part I's description of the software and simulation testing of the CDSS, and describes the hardware setup of a patient monitoring and CDSS. The system is evaluated on three post-cardiac surgery intensive care patients whom had all undergone cardio-pulmonary bypass

AB - Patients emerging from cardiac surgery can display varying degrees of cardiovascular instability arising from potentially complex, multi-factorial and interlinked causes. Stabilization and control of the cardiovascular system are currently managed by healthcare experts using experiential knowledge, and, in some centers, manually inputted decision pathway algorithms. This paper describes a clinical trial undertaken to determine the basic functioning of a clinical decision support system (CDSS) designed and constructed by the authors to facilitate the control of the major cardiovascular components in the early post-operative phase. Part II follows Part I's description of the software and simulation testing of the CDSS, and describes the hardware setup of a patient monitoring and CDSS. The system is evaluated on three post-cardiac surgery intensive care patients whom had all undergone cardio-pulmonary bypass

U2 - 10.1016/j.artmed.2008.11.010

DO - 10.1016/j.artmed.2008.11.010

M3 - Article

VL - 45

SP - 53

EP - 62

JO - Artificial Intelligence in Medicine

JF - Artificial Intelligence in Medicine

SN - 0933-3657

IS - 1

ER -