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[Data analysis in health insurance]

H Schmid, J P Volkmer

    Sozial- Und Praventivmedizin
    |May 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    This study establishes essential mathematical foundations for health insurance, aiming to systematically analyze health insurance data. It develops methods for data collection and analysis to understand cost drivers and inform system improvements.

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    Area of Science:

    • Health Economics
    • Biostatistics
    • Actuarial Science

    Context:

    • Limited mathematical research in health insurance over the past 50 years necessitates a data-driven approach.
    • Informed changes to the health insurance system require robust mathematical and statistical foundations.
    • Current health insurance data is underutilized for systematic analysis and model development.

    Purpose:

    • To define the fundamental mathematical principles for health insurance.
    • To develop and test concepts for the systematic, large-scale analysis of health insurance data using econometric models.
    • To establish methods for regular data collection across healthcare sectors to analyze cost dependencies.

    Summary:

    • This research outlines the mathematical underpinnings of health insurance.

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  • It proposes a framework for the institutionalized, systematic, and periodic exploitation of health insurance carrier data.
  • Econometric models will be employed to test these data exploitation concepts.
  • Methods for regular data collection in healthcare sectors will be developed to study the relationship between cost factors, medical supply, population structure, and cost drivers.
  • Cost-effective sampling strategies and survey designs will be created for data acquisition and interdisciplinary interpretation.

    • Impact:

    • Provides essential mathematical-statistical figures for informed health insurance policy discussions.
    • Enables a deeper understanding of health insurance cost factors and their determinants.
    • Facilitates the development of improved data collection and analysis strategies within health insurance.
    • Supports evidence-based decision-making for optimizing the health insurance system.