A web-based knowledge management system for cardiovascular disease

RK Bali; N Wickramasinghe; CD Nugent; Mark Donnelly; AN Dwivedi; RNG Naguib; ND Black

A web-based knowledge management system for cardiovascular disease

RK Bali, N Wickramasinghe, CD Nugent, Mark Donnelly, AN Dwivedi, RNG Naguib, ND Black

Research output: Contribution to journal › Article › peer-review

Abstract

The objective of this paper is to examine the efficacy of the Knowledge Management (KM) paradigm for a web-based Patient Administration System (PAS) for Cardiovascular Disease (CVD) management. The role of contemporary Information and Communication Technologies (ICTs) for the management of electrocardiographic information and how this can act as a foundation for a KM-based system is discussed. Moreover, the proffered CVD KM system, coupled with the tools, technologies and techniques of the Intelligence Continuum (IC) is presented as a suitable model to enable critical information to be captured and accessed in a timely fashion by clinical decision makers, thereby ensuring the highest level of quality care in CVD treatment.

Original language	English
Pages (from-to)	111-126
Journal	International Journal of Biomedical Engineering and Technology
Volume	1
Issue number	2
Publication status	Published (in print/issue) - 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "A web-based knowledge management system for cardiovascular disease",

abstract = "The objective of this paper is to examine the efficacy of the Knowledge Management (KM) paradigm for a web-based Patient Administration System (PAS) for Cardiovascular Disease (CVD) management. The role of contemporary Information and Communication Technologies (ICTs) for the management of electrocardiographic information and how this can act as a foundation for a KM-based system is discussed. Moreover, the proffered CVD KM system, coupled with the tools, technologies and techniques of the Intelligence Continuum (IC) is presented as a suitable model to enable critical information to be captured and accessed in a timely fashion by clinical decision makers, thereby ensuring the highest level of quality care in CVD treatment.",

author = "RK Bali and N Wickramasinghe and CD Nugent and Mark Donnelly and AN Dwivedi and RNG Naguib and ND Black",

year = "2007",

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TY - JOUR

T1 - A web-based knowledge management system for cardiovascular disease

AU - Bali, RK

AU - Wickramasinghe, N

AU - Nugent, CD

AU - Donnelly, Mark

AU - Dwivedi, AN

AU - Naguib, RNG

AU - Black, ND

PY - 2007

Y1 - 2007

N2 - The objective of this paper is to examine the efficacy of the Knowledge Management (KM) paradigm for a web-based Patient Administration System (PAS) for Cardiovascular Disease (CVD) management. The role of contemporary Information and Communication Technologies (ICTs) for the management of electrocardiographic information and how this can act as a foundation for a KM-based system is discussed. Moreover, the proffered CVD KM system, coupled with the tools, technologies and techniques of the Intelligence Continuum (IC) is presented as a suitable model to enable critical information to be captured and accessed in a timely fashion by clinical decision makers, thereby ensuring the highest level of quality care in CVD treatment.

AB - The objective of this paper is to examine the efficacy of the Knowledge Management (KM) paradigm for a web-based Patient Administration System (PAS) for Cardiovascular Disease (CVD) management. The role of contemporary Information and Communication Technologies (ICTs) for the management of electrocardiographic information and how this can act as a foundation for a KM-based system is discussed. Moreover, the proffered CVD KM system, coupled with the tools, technologies and techniques of the Intelligence Continuum (IC) is presented as a suitable model to enable critical information to be captured and accessed in a timely fashion by clinical decision makers, thereby ensuring the highest level of quality care in CVD treatment.

M3 - Article

SN - 1752-6426

VL - 1

SP - 111

EP - 126

JO - International Journal of Biomedical Engineering and Technology

JF - International Journal of Biomedical Engineering and Technology

IS - 2

ER -

A web-based knowledge management system for cardiovascular disease

Abstract

UN SDGs

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