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A decision support model for prescribing internal cardiac defibrillators

Eric L. Bloomfield (Department of Anesthesiology/Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA)
James Kauten (Master Program in Medical Informatics, Northwestern University, Evanston, Illinois, USA)
Mel Ocampo (Master Program in Medical Informatics, Northwestern University, Evanston, Illinois, USA)
James C. McGhee (Master Program in Medical Informatics, Northwestern University, Evanston, Illinois, USA)
Fred Kusumoto (Division of Cardiovascular Diseases, Mayo Clinic, Jacksonville, Florida, USA)

International Journal of Health Care Quality Assurance

ISSN: 0952-6862

Article publication date: 7 June 2013

188

Abstract

Purpose

Automatic internal cardiac defibrillators have various indications for placement. However, some patients may not fully benefit from this technology and the devices are expensive. Consequently, the aim of this paper is to describe a development model for clinical decision support to help providers offer their patients a more effective decision‐making process.

Design/methodology/approach

A decision tree was built based on previous trials described in the cardiac literature.

Findings

A decision‐making model for implanting these expensive but lifesaving devices is developed and a model for testing them (pre‐ and post‐implantation) is described.

Practical implications

The model could be used to develop prospective trials.

Originality/value

The paper demonstrates that the project's goal is better quality and cost‐effective care.

Keywords

Citation

Bloomfield, E.L., Kauten, J., Ocampo, M., McGhee, J.C. and Kusumoto, F. (2013), "A decision support model for prescribing internal cardiac defibrillators", International Journal of Health Care Quality Assurance, Vol. 26 No. 5, pp. 455-464. https://doi.org/10.1108/IJHCQA-08-2011-0046

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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