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Towards a web-based knowledge management system for cardiovascular disease.

C D Nugent1, M Donnelly, R K Bali

  • 1School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, N. Ireland. cd.nugent@ulster.ac.uk.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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This study explores using Knowledge Management (KM) for web-based patient administration systems (PAS) in cardiovascular disease (CVD) care. It highlights how information and communication technologies (ICTs) managing electrocardiographic data can support a KM framework.

Area of Science:

  • Cardiology
  • Health Informatics
  • Knowledge Management

Background:

  • Cardiovascular disease (CVD) patient management requires efficient data handling.
  • Current patient administration systems (PAS) may benefit from advanced Knowledge Management (KM) strategies.
  • Integrating information and communication technologies (ICTs) is crucial for modern healthcare systems.

Purpose of the Study:

  • To evaluate the effectiveness of the Knowledge Management (KM) paradigm within a web-based patient administration system (PAS) specifically for cardiovascular disease (CVD).
  • To explore the application of contemporary information and communication technologies (ICTs) in managing electrocardiographic information for CVD patients.

Main Methods:

  • Literature review on Knowledge Management (KM) principles and their application in healthcare IT.

Related Experiment Videos

  • Analysis of existing web-based patient administration systems (PAS) for cardiovascular disease (CVD).
  • Discussion on the role of information and communication technologies (ICTs) in handling electrocardiographic data.

    • Main Results:

    • Knowledge Management (KM) offers a potential framework to enhance web-based patient administration systems (PAS) for cardiovascular disease (CVD).
    • Information and communication technologies (ICTs) are pivotal in managing complex data like electrocardiograms, forming a basis for KM.
    • A KM-based approach can improve data accessibility and utilization in CVD patient administration.

    Conclusions:

    • The Knowledge Management (KM) paradigm shows promise for improving cardiovascular disease (CVD) patient administration systems (PAS).
    • Leveraging information and communication technologies (ICTs) for electrocardiographic data management is a key step towards implementing KM in CVD care.
    • Further research is needed to develop and validate KM-based PAS for cardiovascular disease (CVD).