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PHO uses data effectively to identify potentially high-risk, high-cost patients

    Data Strategies & Benchmarks : the Monthly Advisory for Health Care Executives
    |July 1, 1999
    PubMed

    Insights

    A Physician-Hospital Organization (PHO) proactively identifies high-cost, high-risk patients using data analytics. This enables early intervention through disease management and preventive care programs to reduce future healthcare expenditures.

    Area of Science:

    • Healthcare Management
    • Health Informatics
    • Preventive Medicine

    Background:

    • High-cost, high-risk patients often present significant financial burdens.
    • Traditional billing data may not identify these patients until advanced stages of illness.
    • Proactive identification is crucial for effective cost containment and patient outcomes.

    Purpose of the Study:

    • To outline a strategy for Physician-Hospital Organizations (PHOs) to proactively identify high-cost, high-risk patients.
    • To describe methods for engaging these patients in preventive care and disease management programs.
    • To demonstrate the use of data analytics for early intervention and cost avoidance.

    Main Methods:

    • Utilizing data analytics to identify patterns indicative of high future costs and risks.
    • Implementing outreach programs to engage identified patients.
    • Integrating patients into targeted disease management and preventive care initiatives.

    Main Results:

    • Early identification of at-risk populations before significant cost escalation.
    • Successful enrollment of high-cost patients into management programs.
    • Potential for substantial reduction in future healthcare spending through proactive care.

    Conclusions:

    • Data-driven proactive identification is essential for managing high-cost, high-risk patient populations.
    • Physician-Hospital Organizations can effectively leverage data to implement preventive strategies.
    • Early intervention leads to improved patient health and reduced healthcare system costs.

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