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Using data in disease management. Opportunities and challenges.

L Dancha1, E M Martini

  • 1HealthPartners, Minneapolis, MN 55440, USA.

Medical Group Management Journal
|December 8, 1997
PubMed
Summary
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Implementing a comprehensive data collection model significantly enhances health service quality and cost-efficiency, particularly in women's health. This approach requires collaboration between managed care plans and clinics for optimal outcomes.

Area of Science:

  • Health Services Research
  • Health Informatics
  • Quality Improvement

Background:

  • Data collection in healthcare is often discussed but rarely implemented effectively.
  • There is a need for structured data collection to improve healthcare quality and manage costs.
  • Previous efforts have often lacked comprehensive models or necessary cooperation.

Purpose of the Study:

  • To describe a fully-developed data collection model implemented by HealthPartners.
  • To highlight the complexities and requirements for successful healthcare data collection.
  • To demonstrate the benefits of a data-driven approach in improving health services.

Main Methods:

  • Development and implementation of a comprehensive data collection model.
  • Fostering cooperation between managed care plans and clinics.

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  • Utilizing collected data for specific quality improvement initiatives.

    • Main Results:

    • Successful improvement in the quality and cost of health services, with a focus on women's health.
    • Development of data-based clinical practice guidelines.
    • Implementation of reminder systems and identification of at-risk patients.
    • Creation of patient-centered information about physicians.

    Conclusions:

    • A well-structured data collection model is crucial for enhancing healthcare quality and efficiency.
    • Collaboration between healthcare entities is essential for successful data utilization.
    • Data-driven strategies lead to tangible benefits in patient care and service delivery.