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Using data mining to build a customer-focused organization.

A Okasha1

  • 1EDS, Plano, TX, USA.

Managed Care Interface
|January 6, 2000
PubMed
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Data mining in managed care unlocks valuable information from MCO data. This process aids organizational reengineering and transforms health systems into customer-focused entities.

Area of Science:

  • Health Services Research
  • Health Informatics
  • Business Intelligence

Background:

  • Managed care organizations (MCOs) generate vast amounts of data.
  • Traditional data analysis methods may not fully leverage this information.
  • The healthcare landscape is shifting towards customer-centric models.

Purpose of the Study:

  • To explore the role of data mining in managed care.
  • To demonstrate how data mining can facilitate organizational transformation.
  • To highlight the potential of data mining in achieving a customer-focused healthcare system.

Main Methods:

  • Conceptual analysis of data mining applications in healthcare.
  • Review of existing literature on data mining in managed care.

Related Experiment Videos

  • Discussion of data mining's impact on organizational reengineering.
  • Main Results:

    • Data mining offers more than just information retrieval from MCO databases.
    • It serves as a strategic tool for guiding organizational change.
    • It enables a shift towards a more customer-oriented approach in health systems.

    Conclusions:

    • Data mining is a critical enabler for managed care organizations seeking transformation.
    • Leveraging data mining can lead to significant improvements in customer focus and operational efficiency.
    • The strategic implementation of data mining is essential for future healthcare system success.