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Related Experiment Videos

Projecting demand for cardiac pacemakers.

B Ronen, J S Pliskin, S Feldman

    Pacing and Clinical Electrophysiology : PACE
    |July 1, 1982
    PubMed
    Summary
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    Forecasting cardiac pacemaker implant numbers helps optimize resource allocation. This model aids efficient planning for both new procedures and replacements, using any available data.

    Area of Science:

    • Cardiology
    • Health Services Research
    • Biomedical Engineering

    Background:

    • Cardiac pacemaker implantation programs require significant financial, facility, and personnel resources.
    • Accurate forecasting is essential for efficient resource management in healthcare settings.

    Purpose of the Study:

    • To present a predictive model for cardiac pacemaker implantations.
    • To enable more efficient allocation of resources in pacemaker programs.

    Main Methods:

    • Development of a forecasting model for pacemaker implants.
    • Inclusion of both new implantations and device replacements.
    • Adaptability for short-term and long-term planning horizons.

    Main Results:

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  • The model provides a framework for predicting future pacemaker implant numbers.
  • It can be utilized with diverse data sources for enhanced accuracy.
  • Facilitates strategic resource management for pacemaker programs.

    • Conclusions:

    • The developed model offers a valuable tool for optimizing resources in cardiac pacemaker programs.
    • Effective forecasting supports improved operational efficiency and planning.
    • The model's versatility allows application across different healthcare systems.